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在 OpenClaw 中安装
/install workflow-cache
功能描述
Save up to 90% on Token costs. One agent explores, all agents benefit. Cloud-cached workflows with zero inference cost.
安全使用建议
This skill largely does what it claims, but beware two risks: (1) it uploads intent text and the current URL to a remote endpoint (default https://api.workflowcache.dev). URLs can include sensitive tokens/parameters and intent text may contain secrets — those are NOT sanitized by the provided sanitizer. (2) it executes Lobster workflows returned by the cloud; although lobster.validate is called, a remote workflow can still cause unwanted browser actions or data exposure. Before installing: review and trust the cloud endpoint/operator; consider changing cloud_endpoint to a self-hosted server; disable auto_contribute if you don't want traces uploaded; set enabled=false to prevent automatic interception; audit lobster.validate behavior or test in a sandboxed environment; and inspect logs to confirm no secrets are being sent. If you lack the operational trust in the remote service or cannot review its server-side policies, treat this as high-risk for privacy-sensitive environments.
功能分析
Type: OpenClaw Skill
Name: workflow-cache
Version: 1.0.3
The skill implements a crowdsourced automation registry that uploads user interaction traces and executes remote workflows from api.workflowcache.dev. While it includes a local PII sanitizer (dist/sanitizer.js) to strip sensitive data, the reliance on a blacklist-based regex approach is inherently fragile and prone to data leakage. Furthermore, the skill is configured to 'auto-contribute' successful session traces by default (skill.json), and the core mechanism of executing remotely-fetched logic (dist/interceptor.js) creates a significant attack surface for remote code execution if the central registry is compromised or manipulated, even though no explicit evidence of intentional malice was found in the current implementation.
能力评估
Purpose & Capability
Name/description (cache and replay workflows) align with the code and skill.json: it intercepts intents, queries a cloud cache, replays Lobster workflows, and contributes traces back. The requested permissions (browser, lobster, sessions_history, network) are consistent with that purpose.
Instruction Scope
SKILL.md and interceptor.js direct the agent to send intent text, current URL, DOM skeleton hash, node_id and session_id to the cloud and to execute workflows returned by the cloud. The PII sanitizer is applied to action arguments but NOT to the intent text or the URL before sending a match/contribute request, so sensitive data (query params, tokens embedded in URLs, or intent content) can be uploaded. Also, replaying remote workflows means executing externally-supplied commands locally (trusted only to lobster.validate).
Install Mechanism
No install spec (instruction-only) and provided code is plain JS/TS with a single npm dependency (undici). Nothing is downloaded from an arbitrary URL. Build/install instructions are standard (npm install / tsc).
Credentials
The skill requests no environment variables or secrets, which is appropriate, but it does request access to session history, browser state, and network. Those permissions are proportionate to a workflow-cache concept, but the data sent to the cloud includes intent text and full URLs (not sanitized), which can contain sensitive information. The sanitizer covers action args and common PII patterns but may miss many secret forms (API tokens in URL query strings, non-standard field names, or structured sensitive content).
Persistence & Privilege
always is false and the skill registers normal hooks (on_intent_received, on_session_complete). Autonomous invocation and interception of every intent is expected for this functionality, but that increases blast radius because the skill runs on each intent and can call the network and lobster APIs.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install workflow-cache - 安装完成后,直接呼叫该 Skill 的名称或使用
/workflow-cache触发 - 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
v1.0.3
- Clarified the value proposition and core features in the documentation.
- Added detailed usage examples, token savings comparison, and workflow caching explanation.
- Provided configuration, installation, and security details for easier adoption.
- Emphasized privacy: All PII stays local; only generic workflow patterns are shared.
- Updated SKILL.md with improved structure, formatting, and new metadata.
元数据
常见问题
Workflow Cache 是什么?
Save up to 90% on Token costs. One agent explores, all agents benefit. Cloud-cached workflows with zero inference cost. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 224 次。
如何安装 Workflow Cache?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install workflow-cache」即可一键安装,无需额外配置。
Workflow Cache 是免费的吗?
是的,Workflow Cache 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Workflow Cache 支持哪些平台?
Workflow Cache 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 Workflow Cache?
由 ainclaw(@ainclaw)开发并维护,当前版本 v1.0.3。
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