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chinasilva

Ai Task Hub

作者 chinasilva · GitHub ↗ · v3.3.14 · MIT-0
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在 OpenClaw 中安装
/install ai-task-hub
功能描述
AI task hub for image analysis, background removal, speech-to-text, text-to-speech, markdown conversion, and points queries. Default host path is connector-f...
使用说明 (SKILL.md)

AI Task Hub

Formerly skill-hub-gateway.

Public package boundary:

  • Only orchestrates portal.skill.execute, portal.skill.poll, portal.skill.presentation, portal.account.connect, portal.account.balance, and portal.account.ledger.
  • Does not exchange api_key or userToken inside this package.
  • Does not handle recharge or payment flows inside this package.
  • Optional env hints PUBLIC_BRIDGE_ENTRY_HOST and AI_TASK_HUB_ENTRY_HOST are only host-side entry_host fallbacks, not API secrets, auth tokens, or billing credentials.
  • Prefers attachment URLs, and when host runtime explicitly exposes attachment bytes for the current request, forwards only that explicit attachment material through the public bridge before execution.
  • When the published skill is invoked directly by a third-party agent runtime, it uses POST /agent/public-bridge/invoke.
  • published skill persistence = disabled.
  • continuity owner = host_or_private_wrapper.

Data Handling Boundary

  • Only forwards attachment bytes that the host runtime explicitly provides for the current request.
  • Off-host media transfer is limited to the gateway-controlled host https://gateway-api.binaryworks.app.
  • Public upload handoff is limited to POST /agent/public-bridge/upload-file for the same request flow.
  • Does not read local paths, scan the local filesystem, or guess files outside explicit host-provided attachment material.
  • Does not persist uploaded bytes or credentials to local disk, and does not write skill/config state.
  • Host/runtime should obtain user consent before forwarding media and should avoid sending sensitive or regulated data unless the user explicitly approved that transfer.

Read This First

  • Do not mix connector lifecycle commands with published skill actions.
  • connect / status / invoke / logout are connector lifecycle commands for host/runtime installation state.
  • portal.account.connect / portal.skill.execute / portal.skill.poll / portal.skill.presentation / portal.account.balance / portal.account.ledger are the published skill actions.
  • Do not treat portal.skill.execute -> portal.skill.poll -> portal.skill.presentation as the default path for every capability. Default behavior must follow the capability delivery mode.
  • Public capability inventory below lists only enabled capabilities intentionally advertised to agents. Disabled or internal-only routes may still exist in backend code but are not part of the advertised package surface.

Two Operational Surfaces

  • Connector lifecycle commands:
    • connect: start or resume browser authorization for one connector installation
    • status: read whether the connector installation already has continuity
    • invoke: call one published skill action through the connector runtime
    • logout: clear continuity for that connector installation
  • Published skill actions:
    • portal.account.connect: explicit account bind or connection-status check
    • portal.skill.execute: submit a capability run
    • portal.skill.poll: poll a submitted run
    • portal.skill.presentation: fetch rendered outputs for a run
    • portal.account.balance: read current points balance
    • portal.account.ledger: read points ledger rows

Public Capability Inventory (Enabled And Available)

  • Image analysis:
    • human_detect
    • image_tagging
    • face-detect
    • body-keypoints-2d
    • face-emotion-recognition
  • Background removal / cutout / mask:
    • person-instance-segmentation
    • person-semantic-segmentation
    • concert-cutout
    • full-body-matting
    • head-matting
    • product-cutout
  • Audio:
    • asr
    • tts_report
  • Document:
    • markdown_convert
  • Retrieval:
    • embeddings
    • reranker
  • Generation:
    • image-generation
  • Video:
    • Video Face Generation

Delivery Mode Guidance

  • instant_result
    • Default host behavior: prefer a result-first entrypoint and return the final result in the same interaction.
    • Typical capabilities: tts_report, image analysis, retrieval.
    • Default product path: use result-first host flow; portal.skill.execute is usually enough.
  • aggregated_short_wait
    • Default host behavior: prefer a result-first entrypoint with short internal waiting, then fall back to poll only if the short wait does not complete.
    • Typical capabilities: image-generation.
    • Default product path: start with result-first host flow; only use portal.skill.poll when the short wait does not complete.
  • asset_delivery
    • Default host behavior: keep presentation or rendered files as part of the formal result surface.
    • Typical capabilities: segmentation, matting, cutout.
    • Default product path: portal.skill.execute -> portal.skill.poll, then portal.skill.presentation when files or rendered outputs are needed.
  • long_running
    • Default host behavior: treat the capability as an explicit async job and do not promise single-turn completion.
    • Typical capabilities: asr, markdown_convert, video-face-generation.
    • Default product path: portal.skill.execute with later portal.skill.poll; use portal.skill.presentation only when that capability later exposes a rendered result surface.

Minimal Architecture Rules

  • Default path stays connector-first. Do not invent a host-specific continuity or identity model beside connector/runtime.
  • Default path stays result-first. Do not teach every capability as execute -> poll -> presentation.
  • portal.skill.poll and portal.skill.presentation are follow-up surfaces, not universal default steps.
  • Published skill keeps compatibility and asset-delivery surfaces, but it does not own long-lived continuity.
  • Do not ask end users for manual URLs, JSON field names, local paths, or internal bridge details unless they explicitly ask for debugging.

Non-Recommended Patterns

  • Do not bypass connector/runtime as the default host product path when hosted connector or local bootstrap is available.
  • Do not describe raw published skill actions as if they were the primary UX for every capability.
  • Do not add host-specific auth, continuity, or capability-routing rules outside the existing connector/runtime and gateway contracts.
  • Do not expose debugging payload structure, bridge layering, or upload choreography to end users unless troubleshooting is explicitly requested.

Official Host Integration

  • Current built-in host integrations for mobileclaw, openclaw, codex, and claude require the AI Task Hub connector/runtime to own continuity from the first call.
  • Future public hosts should follow the same connector/runtime continuity contract instead of inventing a host-specific identity model.
  • For remote URL / OAuth / connection-record style hosts, use the hosted connector runtime: POST /agent/hosted-connector/install, POST /agent/hosted-connector/connect, POST /agent/hosted-connector/invoke, POST /agent/hosted-connector/status, POST /agent/hosted-connector/logout.
  • For local command-only hosts, use the shared connector/runtime bootstrap outside this published package.
  • POST /agent/public-bridge/invoke is the underlying transport used by that connector/runtime, and also the compatibility fallback when a host bypasses the connector during debugging or manual integration.
  • Trusted host runtime that can safely hold bridge assertion secret may still use POST /agent/skill/bridge/invoke.
  • published skill persistence remains disabled even when connector/runtime is present; long-lived continuity belongs in host or connector state, not in this package.

User-Facing Response Policy

  • When users upload images, audio, documents, or video and ask for a capability, prefer executing immediately only when the host runtime has already supplied an explicit attachment object or explicit attachment bytes for that request.
  • Do not explain image_url, attachment.url, storage URLs, bridge layers, host uploads, input normalization, or controlled media domain details to end users unless they explicitly ask for technical debugging.
  • Do not ask end users to provide manual URLs, JSON field names, or upload-chain instructions; those are internal host-to-skill mechanics.
  • If the runtime supports attachment handling, limit processing to the explicit attachment object supplied for the current request and keep the upload/URL handoff scoped to execute/poll/presentation for that same request.
  • Only when execution actually fails and the user must intervene should you mention missing processable files, incomplete authorization, or retry guidance, using user-oriented language without exposing internal layering.

Chinese documentation: SKILL.zh-CN.md

When to Use This Skill

Use this skill when the user asks to:

  • detect faces, human presence, body keypoints, image tags, or facial emotion from images
  • generate person/product segmentation, mask, cutout, or matting outputs that this public package explicitly exposes
  • transcribe uploaded audio into text (speech to text, audio transcription)
  • generate speech from text input (text to speech, voice generation)
  • convert uploaded files into markdown (document to markdown)
  • start async jobs and check status later (poll, check job status)
  • fetch rendered visual outputs such as overlay, mask, and cutout
  • run embedding or reranking tasks for retrieval workflows
  • check current account points balance or recent points ledger rows

Common Requests

Example requests that should trigger this skill:

  • "Detect faces in this image and return bounding boxes."
  • "Tag this image and summarize the main objects."
  • "Remove the background from this product photo."
  • "Create a clean cutout from this portrait image."
  • "Transcribe this meeting audio into text."
  • "Generate speech from this paragraph."
  • "Convert this PDF file into markdown."
  • "Start this job now and let me poll the run status later."
  • "Fetch overlay and mask files for run_456."
  • "Generate embeddings for this text list and rerank the candidates."
  • "Check my current points balance."
  • "Show my recent points ledger from 2026-03-01 to 2026-03-15."

Search-Friendly Capability Aliases

  • vision aliases: face detection, human detection, person detection, image tagging
  • background aliases: remove background, background removal, cutout, matting, product-cutout
  • asr aliases: speech to text, audio transcription, transcribe audio
  • tts aliases: text to speech, voice generation, speech synthesis
  • markdown_convert aliases: document to markdown, file to markdown, markdown conversion
  • poll aliases: check job status, poll long-running task, async run status
  • presentation aliases: rendered output, overlay, mask, cutout files
  • account.balance aliases: points balance, credits balance, remaining points
  • account.ledger aliases: points ledger, credits history, points statement
  • embeddings/reranker aliases: vectorization, semantic vectors, relevance reranking

Public discovery boundary for visual capabilities:

  • This published skill only advertises visual capabilities whose backing services are currently enabled for public delivery.
  • Disabled or internally retained legacy routes are intentionally omitted from discovery references and capability manifests even if related backend code still exists.

Runtime Contract

Default API base URL: https://gateway-api.binaryworks.app Published package policy: outbound base URL is locked to the default API base URL to reduce token exfiltration risk.

Action to endpoint mapping:

  • portal.skill.execute -> POST /agent/skill/execute
  • portal.skill.poll -> GET /agent/skill/runs/:run_id
  • portal.skill.presentation -> GET /agent/skill/runs/:run_id/presentation
  • portal.account.connect -> POST /agent/public-bridge/invoke (explicit connect/status check only)
  • portal.account.balance -> GET /agent/skill/account/balance
  • portal.account.ledger -> GET /agent/skill/account/ledger

Install Mechanism & Runtime Requirements

  • This skill is instruction-first and does not define a remote installer flow.
  • Runtime execution is limited to bundled local scripts under scripts/*.mjs.
  • Required runtime binary is node (as declared in metadata.openclaw.requires.bins).
  • No remote download-to-exec install chain is used (curl|wget ... | sh|bash|python|node is not part of this package).

Auth Contract

Third-party agent entry mode (official host integrations should route through connector/runtime):

  • Officially supported host integrations should install or provision the connector/runtime and let it manage entry_user_key; do not ask end users to manage continuity manually.
  • If a host bypasses connector/runtime and invokes the published skill directly, use POST /agent/public-bridge/invoke and persist the same entry_user_key outside this published skill package.
  • Do not require end users to provide any credential.
  • Use portal.account.connect when host/runtime wants an explicit browser-connect preflight instead of waiting for a protected action to fail.
  • Connector/runtime remains required for the official host integration path even when browser authorization is not yet required.
  • With TRIAL_ENABLED and available trial points, first-time calls may proceed without browser authorization.
  • On first use without an existing binding, gateway can proceed without browser authorization when TRIAL_ENABLED and trial points are available; AUTHORIZATION_REQUIRED is returned only for conditional upgrade paths (for example trial exhausted or trial-disabled rollback).
  • The returned authorization_url may include gateway_api_base_url; preserve it when completing browser authorization so /agent-auth/complete is posted back to the same API environment that created the auth session.
  • Host/runtime should show authorization_url to the user, persist entry_user_key, then retry the same action with that same entry_user_key.
  • Connector/runtime must preserve that same entry_user_key before and after browser authorization.
  • When AUTHORIZATION_REQUIRED or portal.account.connect returns connector_install, treat it as the official npm connector/runtime guidance for hosts that have not yet provisioned the supported continuity layer.
  • connector_install refers to the official connector package outside this published skill package.
  • That connector is the required continuity owner for officially supported host integrations, even though account authorization may still be deferred until trial exhaustion or policy upgrade.
  • For OpenClaw/MobileClaw-style local hosts, follow the connector guide referenced by connector_install.guide_url, then continue the same browser authorization_url flow with the same entry_user_key.
  • If gateway later returns AUTHORIZATION_REQUIRED with details.likely_cause=ENTRY_USER_KEY_NOT_REUSED, details.recovery_action=REUSE_ENTRY_USER_KEY, and details.reauthorization_required=false, host should restore the previously persisted entry_user_key and retry without sending the user through browser authorization again.

Identifier format constraints used by gateway auth:

  • agent_uid must match ^agent_[a-z0-9][a-z0-9_-]{5,63}$.
  • conversation_id must match ^[A-Za-z0-9._:-]{8,128}$.
  • In deployed bridge mode, host may pass its own stable runtime agent identifier and the gateway bridge will canonicalize it server-side.

Host-side token bridge (outside published package):

  • To keep this package compliant and low-privilege, this published runtime does not issue or accept caller-managed task tokens.
  • Preferred deployed bridge endpoint for third-party agent entry: connector/runtime should call POST /agent/public-bridge/invoke.
  • Trusted host runtime that can safely hold bridge assertion secret may continue to use POST /agent/skill/bridge/invoke.
  • These bridge endpoints are served by gateway runtime, not bundled into this published package, and do not require caller-managed credentials.
  • published skill persistence = disabled; continuity must stay in host_or_private_wrapper, not inside this published package.
  • Bridge request body should include action, agent_uid, conversation_id, and optional payload.
  • conversation_id should be a host-generated opaque session/install identifier, not a public chat ID, raw thread ID, or PII.
  • Public bridge should resolve a stable external user binding when available; if the binding is missing and trial conditions are satisfied, first-time onboarding can continue without browser authorization, while conditional upgrade paths return a host-owned authorization URL plus entry_user_key.
  • Cross-conversation account continuity requires reusing the same entry_user_key; public bridge intentionally does not accept owner overrides.
  • Gateway bridge will canonicalize agent_uid, repair binding when missing, issue short-lived internal task token, and run the action server-side.
  • portal.skill.execute through public bridge is write-capable and should send options.confirm_write=true after user confirmation; otherwise gateway may return ACTION_CONFIRMATION_REQUIRED.
  • base_url, gateway_api_key, api_key, user_token, agent_task_token, owner_uid_hint, and install_channel overrides are rejected by the deployed bridge endpoint.
  • Recommended host behavior: persist entry_user_key, normalize agent_uid, and re-run the same bridge action after authorization completes.

Host integration modes:

  • connector-managed interactive (recommended): connector/runtime calls POST /agent/public-bridge/invoke, surfaces the returned host-owned authorization URL to the user when needed, persists returned entry_user_key, and retries after authorization completes.
  • trusted host bridge (secondary): a trusted backend you control may call POST /agent/skill/bridge/invoke with its own bridge assertion secret.
  • Published skill package itself does not open browser, persist credentials, or perform OAuth/token exchange flows.
  • The authorization URL above is owned by deployed gateway/admin-web pages, not by this skill package runtime.
  • Successful public bridge responses add data.agent_guidance.bridge_auth with continuity_owner=host_or_private_wrapper, published_skill_persistence=disabled, and the returned bridge_context.
  • Public bridge failures that include entry context add error.details.bridge_auth so host/runtime can recover continuity outside the published skill package.

Compatibility and Debug Transport Reference

Default product path for official hosts remains connector-first and result-first.

Use the raw transport reference below only when:

  • a host is in compatibility mode and can preserve the same entry_user_key itself
  • a trusted backend is integrating directly
  • debugging requires checking the raw bridge contract

Preferred raw transport for third-party agent entry (normally owned by connector/runtime, and also usable as a compatibility fallback when a host can preserve continuity itself):

  • Deployed bridge API:
{
  "entry_host": "\x3Chost_runtime>",
  "action": "portal.account.balance",
  "agent_uid": "support_assistant",
  "conversation_id": "host_session_20260316_opaque_001",
  "payload": {}
}
  • Send that body to POST /agent/public-bridge/invoke.
  • entry_host must match the active host runtime. Current built-in examples are mobileclaw, openclaw, codex, claude; future lowercase host slugs can follow the same contract when connector/runtime is configured for them.
  • Example mappings: MobileClaw -> mobileclaw, OpenClaw -> openclaw, Codex -> codex, Claude -> claude.
  • If the host cannot pass entry_host explicitly, export PUBLIC_BRIDGE_ENTRY_HOST or AI_TASK_HUB_ENTRY_HOST, or install the package under the host-specific runtime path so host inference stays correct.
  • This is the underlying production transport for connector-managed third-party integration.
  • With TRIAL_ENABLED and available trial points, first-time onboarding can complete without browser authorization.
  • On first use, gateway may return AUTHORIZATION_REQUIRED with authorization_url and entry_user_key only when conditional authorization upgrade is required (for example trial exhausted).
  • Persist entry_user_key and retry with the same value after user authorization completes.
  • Preserve any gateway_api_base_url embedded in the authorization flow so the completion request lands on the same gateway API environment.
  • agent_uid should be your host-defined stable runtime agent identifier.
  • conversation_id should be your host-generated opaque session/install identifier; it is not tied to Telegram or any single tool and does not determine account ownership.
  • Use the same entry_user_key across conversations when those conversations should share one account.

Trusted host runtime secondary mode:

  • If you control the upstream backend and it can safely hold bridge assertion secret, use POST /agent/skill/bridge/invoke.
  • This path is for trusted host runtime only, not OpenClaw / MobileClaw / Codex / Claude style third-party entry.

Action payload templates (same for public bridge and trusted host bridge mode):

  • portal.skill.execute
{
  "capability": "human_detect",
  "input": { "image_url": "https://files.example.com/demo.png" },
  "request_id": "optional_request_id"
}
  • portal.skill.poll
{ "run_id": "run_123" }
  • portal.skill.presentation
{ "run_id": "run_123", "channel": "web", "include_files": true }
  • portal.account.connect
{ "connect_mode": "browser", "auth_session_id": "optional_existing_auth_session" }
  • portal.account.balance
{}
  • portal.account.ledger
{ "date_from": "2026-03-01", "date_to": "2026-03-15" }

Agent-side decision flow:

  • For official host integration, prefer connector install/connect/invoke/status/logout or the hosted connector lifecycle over direct published-skill invocation.
  • Only bypass connector/runtime and call POST /agent/public-bridge/invoke directly when you are in a compatibility or debugging path and can preserve the same entry_user_key yourself.
  • Default capability path must follow delivery mode, not a universal three-step recipe:
    • instant_result: prefer result-first flow; use portal.skill.execute only when dropping to published skill actions.
    • aggregated_short_wait: prefer result-first flow; fall back to portal.skill.poll only if the short wait does not complete.
    • asset_delivery: use portal.skill.presentation only when the capability needs formal rendered assets.
    • long_running: keep explicit async expectations and use portal.skill.poll as the normal follow-up.
  • Explicit account linking: call portal.account.connect, surface the returned authorization_url when present, and keep reusing the same entry_user_key.
  • Account query: call portal.account.balance or portal.account.ledger directly.
  • Keep conversation_id as session context only; do not use it as the account key.
  • For cross-conversation continuity in third-party entry mode, persist and reuse the same entry_user_key; do not pass owner_uid_hint to the public bridge endpoint.
  • If AUTHORIZATION_REQUIRED is returned, show authorization_url, persist entry_user_key, then retry the same action after user authorization completes.
  • If AUTHORIZATION_REQUIRED includes details.likely_cause=ENTRY_USER_KEY_NOT_REUSED, do not open a new auth flow yet; first restore the previously persisted entry_user_key and retry the same bridge call.
  • Treat details.reauthorization_required=false as a recovery hint that browser re-login is unnecessary for this failure mode.
  • If AUTH_UNAUTHORIZED + agent_uid claim format is invalid: use canonical agent_uid (agent_...) instead of a short host alias (assistant, planner).
  • If SYSTEM_NOT_FOUND + agent binding not found: restart the same bridge flow once and let gateway repair binding.

Output parsing contract:

  • Always parse standard gateway envelope: request_id, data, error.
  • Treat non-empty error as failure even when HTTP tooling hides status code.

Visualization Playbooks (Agent Guidance)

  • For successful visual actions (portal.skill.execute, portal.skill.poll, portal.skill.presentation), the script enriches responses with data.agent_guidance.visualization.playbook.
  • Playbook mapping covers the visual capabilities currently exposed by this published skill (detection/classification/keypoints/segmentation/matting families).
  • For image-generation, user delivery should be image-first: present the generated image itself and omit structured fields unless the user explicitly asks for source data or debugging details.
  • Global rendering guardrail for all visual capabilities:
  • Must use skill-native rendered assets first (overlay/mask/cutout/view_url) when available.
  • Manual local drawing fallback is disabled by default (allow_manual_draw=false) to avoid inconsistent agent-side rendering.
  • If rendered assets are missing, fallback is summary-only from structured output (raw/visual.spec), not local drawing.
  • Example special rule:
  • body-contour-63pt -> when both rendered assets and geometry are absent, playbook marks status=degraded and recommends fallback capability body-keypoints-2d.

Payload Contract

  • portal.skill.execute: payload requires capability and input.
  • payload.request_id is optional and passed through.
  • portal.skill.poll and portal.skill.presentation: payload requires run_id.
  • portal.skill.presentation supports include_files (defaults to true).
  • portal.account.connect: payload may include connect_mode and optional auth_session_id when host/runtime is checking an existing browser bind.
  • portal.account.balance: payload is optional and ignored.
  • portal.account.ledger: payload may include date_from + date_to (YYYY-MM-DD, must be provided together).

Attachment normalization:

  • Prefer explicit image_url / audio_url / file_url / video_url.
  • attachment.url is mapped to target media field by capability.
  • When host runtime exposes attachment bytes, this published package forwards only that explicit attachment material through the public bridge and injects the returned URL before execute.
  • There is no separate portal.upload action in this package; for third-party agent entry, callers should keep using portal.skill.execute, and the bundled runtime will only forward explicit attachment bytes already supplied by the host for the current request.
  • If a host bypasses the bundled auto-upload helper and implements upload itself, use POST /agent/public-bridge/upload-file for third-party/public entry, not POST /agent/skill/bridge/upload-file.
  • Local file_path handling is disabled in the published public skill.
  • The runtime does not scan the local filesystem, guess file locations, expand directories/globs, or read local paths from payload.file_path, input.file_path, attachment.path, or attachment.file_path.
  • Arbitrary unmanaged local filesystem access remains unsupported; hosts should provide bytes or a bridge-managed URL instead.
  • Example host upload endpoint: /agent/public-bridge/upload-file.
  • Video Face Generation requires 2 uploaded files from the user before execution:
    • source video -> input.video_url
    • merge face image -> input.merge_infos[0].merge_face_image.url
  • If either required file is missing, agent should ask the user to upload both files first.
  • Prefer a short source video for testing or smoke runs because these video-generation jobs are asynchronous and slower than image-only tasks.
  • Do not rely on a single attachment.url auto-mapping for Video Face Generation; host must pass both structured URL fields explicitly.

Error Contract

  • Preserve gateway envelope: request_id, data, error.
  • Preserve POINTS_INSUFFICIENT and pass through error.details.recharge_url.

Bundled Files

  • scripts/skill.mjs
  • scripts/agent-task-auth.mjs
  • scripts/base-url.mjs
  • scripts/attachment-normalize.mjs
  • scripts/telemetry.mjs (compatibility shim)
  • references/capabilities.json
  • references/openapi.json
  • SKILL.zh-CN.md
安全使用建议
This skill appears to be a gateway/orchestration package that only forwards explicit attachments and calls the gateway-api.binaryworks.app endpoints. Before installing, confirm you trust the gateway host (https://gateway-api.binaryworks.app) since attachments will be uploaded there when used; avoid sending sensitive or regulated data unless you have explicit user consent and trust the host. Note the skill may accept an optional entry_user_key supplied by your connector/runtime—ensure your connector/runtime handles continuity and secrets securely. The package does not persist files or require additional credentials, and it disallows local file-path inputs (it expects host-provided attachment URLs or bytes). If you need stronger assurance, request the developer to explain how entry_user_key and upload responses are managed by your host/connector and verify the gateway endpoint TLS/certificate and privacy policies.
功能分析
Type: OpenClaw Skill Name: ai-task-hub Version: 3.3.14 The ai-task-hub skill bundle is a well-structured interface for a remote AI service gateway. It includes proactive security measures such as hard-locking the API base URL to a trusted domain (https://gateway-api.binaryworks.app) in base-url.mjs and explicitly disabling local filesystem access in attachment-normalize.mjs to prevent unauthorized file reading. The instructions in SKILL.md are strictly operational, and the code lacks any indicators of data exfiltration, malicious execution, or obfuscation.
能力评估
Purpose & Capability
The declared capabilities (image analysis, background removal, ASR/TTS, markdown conversion, embeddings/reranker, etc.) match the included capability manifests, OpenAPI surface, and scripts. Required binary is only node, which is appropriate for the provided .mjs scripts. There are no environment variables or credentials required by default, which aligns with the skill claiming to be a gateway/orchestration package rather than a cloud provider client.
Instruction Scope
SKILL.md and the runtime scripts limit behavior to: normalizing inputs, optionally uploading explicit attachment bytes to the gateway-controlled host, and calling the gateway public-bridge endpoints. The code explicitly disallows reading local file paths and throws errors if file_path/local attachment data is provided via path. The package states and enforces that it does not persist bytes or credentials to disk.
Install Mechanism
This is an instruction-first package with no remote install or download step. All code is bundled in the skill (scripts/*.mjs), and there are no curl|wget|execute-from-URL patterns. No additional packages are pulled at runtime by the skill itself.
Credentials
No required environment variables or primary credentials are declared. The code optionally reads PUBLIC_BRIDGE_ENTRY_HOST or AI_TASK_HUB_ENTRY_HOST to infer an entry host slug for bridge routing; this is a reasonable, limited convenience and not a secret. The package does accept an optional entry_user_key if provided by the host bridge, which matches its documented bridge-managed auth model.
Persistence & Privilege
The skill metadata and code mark published skill persistence as disabled and do not write persistent state. always is false. The package does perform network operations to the gateway-api.binaryworks.app host (the documented allowed upload and base URL), but it does not request permanent inclusion or attempt to modify other skills' configs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ai-task-hub
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-task-hub 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v3.3.14
ai-task-hub 3.3.14 - Added "Delivery Mode Guidance" and default product path instructions—clarifies recommended flows for each capability type (result-first vs async/poll/presentation). - Updated default host and product usage guidance: result-first and connector-first flows are now emphasized, with async/presentation as compatibility or asset-delivery follow-ups only. - SKILL.md reorganized for clarity; section on non-recommended patterns and explicit minimal architecture rules added. - Capability inventory and capability exposure language updated for precision. - No new user-facing features, but significantly revised documentation and operational guidance.
v3.3.12
- Updated audio capabilities: replaced `tts_low_cost` with `tts_report`. - Documentation updated in SKILL.md and SKILL.zh-CN.md to reflect the new audio capability. - Capability references in `capabilities.json` and `openapi.json` adjusted for the new `tts_report` support. - No changes to API surface or general usage flows.
v3.3.11
- Removed the `tts_report` audio capability from the published skill capability inventory and documentation. - Updated version to 3.3.11. - Synced documentation and references to reflect enabled capabilities only.
v3.3.10
- Updated to version 3.3.10. - Removed environment variable hints for PUBLIC_BRIDGE_ENTRY_HOST and AI_TASK_HUB_ENTRY_HOST from the requirements section in the skill metadata. - No changes to public capability inventory or core functionality.
v3.3.9
ai-task-hub 3.3.9 - Added support for optional environment variables `PUBLIC_BRIDGE_ENTRY_HOST` and `AI_TASK_HUB_ENTRY_HOST` in the SKILL descriptor for host-side entry host configuration. - No changes to user-facing features or capability inventory.
v3.3.8
- Added "Official Host Integration" section clarifying built-in host requirements and future integration guidance. - Updated connector/runtime surface documentation for improved clarity. - No changes to capabilities or public endpoints. - Minor documentation improvements and typo corrections.
v3.3.7
ai-task-hub v3.3.7 - Documentation updates in both English and Chinese (SKILL.md, SKILL.zh-CN.md). - OpenAPI reference updated. - Minor script adjustment in agent-task-auth script. - No changes to public capability inventory or user-facing features.
v3.3.6
ai-task-hub 3.3.6 - Add MobileClaw as an independent public entry host across skill docs, OpenAPI contract, gateway guidance, and connector guidance. - Publish connector package metadata and README updates for the 0.1.3 runtime/CLI release. - Increase host-side child process stdout maxBuffer handling for large result payloads and cover it with tests.
v3.3.5
ai-task-hub 3.3.5 - Updated documentation in both English (SKILL.md) and Chinese (SKILL.zh-CN.md) for accuracy and clarity. - Version bump from 3.3.4 to 3.3.5. - No functional, API, or capability surface changes; documentation and metadata improvements only.
v3.3.4
- Added "Data Handling Boundary" section to documentation, clarifying how attachment bytes and uploads are handled. - Now explicitly limits off-host media transfer to gateway-controlled hosts and outlines public upload handoff routes. - Updated documentation to clarify no local filesystem access, no persistent storage, and user consent requirements for media uploads. - No changes to public API or capabilities; operational boundaries and security/privacy posture made clearer.
v3.3.3
ai-task-hub 3.3.3 - Updated documentation in SKILL.md and SKILL.zh-CN.md. - Adjusted scripts related to attachment normalization and public upload. - Minor updates in OpenAPI reference. - Version bump to 3.3.3.
v3.3.2
ai-task-hub 3.3.2 - Updated documentation in SKILL.md and SKILL.zh-CN.md. - Minor improvements and refinements in openapi.json and scripts/skill.mjs. - No changes to public APIs or advertised capabilities. - Bug fixes and internal consistency updates.
v3.3.1
ai-task-hub 3.3.1 - Clarified separation of connector lifecycle commands from published skill actions in documentation. - Added explicit inventory list of currently enabled public capabilities. - Updated documentation to reflect two operational surfaces: connector lifecycle and published skill actions. - Maintained public discovery to include only enabled and advertised capabilities.
v3.3.0
ai-task-hub v3.3.0 - Version bump to 3.3.0. - Documentation updates in SKILL.md and SKILL.zh-CN.md. - Reference and script files updated to reflect latest features and configuration. - No breaking changes; core AI orchestration features and endpoints remain the same.
v3.2.33
ai-task-hub 3.2.33 - Discovery references and public capability manifests updated to reflect currently enabled public delivery services. - Documentation in SKILL.md and SKILL.zh-CN.md improved for clarity around capability advertising and public boundaries. - references/capabilities.json and references/openapi.json adjusted for accurate, current capability exposure.
v3.2.32
ai-task-hub 3.2.32 - Added support for `portal.account.connect` to enable explicit connect/status check actions. - Updated documentation to clarify connector-first host selection and published skill persistence policy. - Removed legacy bridge-auth-state script and related references. - Improved separation of hosted connector vs. direct public bridge entrypoints in contract and usage examples. - Updated OpenAPI references and scripts to align with new connection/authorization flow.
v3.2.31
ai-task-hub 3.2.31 - Updated documentation in both English (SKILL.md) and Chinese (SKILL.zh-CN.md). - Minor clarifications and editorial improvements to user-facing policies and runtime contract. - No changes to functional endpoints or external API contracts.
v3.2.30
ai-task-hub v3.2.30 - Added new script: bridge-auth-state.mjs, improving internal management of authentication state for bridge flows. - Updated authorization handling in bridge scripts for clearer separation of auth-related logic. - Refined internal script structure to modularize agent task authorization. - Documentation updated in SKILL.md and SKILL.zh-CN.md for greater clarity regarding authentication and capability boundaries. - API references in openapi.json updated to reflect changes.
v3.2.29
ai-task-hub 3.2.29 - Documentation updated (SKILL.md, SKILL.zh-CN.md) to reflect the latest skill details and usage policies. - Version bumped to 3.2.29. - No changes to API endpoints or core capability manifests.
v3.2.28
ai-task-hub 3.2.28 - Clarified trial points logic in authorization policy: now supports first-time calls without browser authorization when trials are enabled and points are available. - Expanded authentication documentation to specify conditional trial fallback and new `AUTHORIZATION_REQUIRED` scenarios. - No changes to runtime endpoints or public interfaces.
元数据
Slug ai-task-hub
版本 3.3.14
许可证 MIT-0
累计安装 4
当前安装数 4
历史版本数 62
常见问题

Ai Task Hub 是什么?

AI task hub for image analysis, background removal, speech-to-text, text-to-speech, markdown conversion, and points queries. Default host path is connector-f... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 869 次。

如何安装 Ai Task Hub?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ai-task-hub」即可一键安装,无需额外配置。

Ai Task Hub 是免费的吗?

是的,Ai Task Hub 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Ai Task Hub 支持哪些平台?

Ai Task Hub 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Ai Task Hub?

由 chinasilva(@chinasilva)开发并维护,当前版本 v3.3.14。

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