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Intent Align

作者 oscraters · GitHub ↗ · v2.0.0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install intent-align
功能描述
Intent-alignment orchestration for OpenClaw agent teams across diverse host environments. Use when work must stay anchored to user goals while allowing flexi...
使用说明 (SKILL.md)

Intent-Align v2 Core

Keep execution aligned to user intent while preserving agent autonomy.

Quick Start

  1. Read references/core-contract.md.
  2. Create alignment hub from references/alignment-hub-template.md.
  3. Run Intent Quality Gate before planning.
  4. Select adapters from references/adapters/.
  5. Execute phases with realignment and verification gates.

Workflow Contract

  1. Build intent_snapshot and run intent_lint (see core contract).
  2. Ask for strictness mode and scope overrides (project/repo/workflow/task).
  3. Resolve effective strictness by precedence: task > workflow > repo > project > default.
  4. Evaluate ambiguity action using severity + strictness + risk class.
  5. Generate phase plan and Mermaid diagram with explicit dependencies and gates.
  6. Bind available adapters through capability_matrix.
  7. Execute phase-by-phase.
  8. Before phase start, run Pre-Execution Clarification Gate.
  9. On each phase end, run verification gates (including output conformance) and update drift evidence.
  10. If intent or constraints change, apply intent_delta and re-plan only impacted phases.
  11. Close with final alignment report and open ambiguity list (if any).

Autonomy Levels

  • 1 Strict: Require user confirmation before each phase start.
  • 2 Balanced: Require user confirmation at phase end or any critical drift.
  • 3 Aggressive: Auto-continue on low drift; require confirmation on major deltas.
  • 4 Exploratory: Continue with log-only check-ins unless risk or ambiguity threshold is exceeded.

Override rule: high-risk ambiguity is never advisory-only; enforce at least soft_gate. Strictness rule: strictness mode controls whether ambiguities block or proceed with guardrails.

Required References

Adapter Selection

Use only adapters needed for the task:

If no adapter can satisfy a required capability:

  1. Generate an ad-hoc adapter spec from adapter-template.md.
  2. Add provenance metadata (created_by, created_at, environment_assumptions, tool_access_required).
  3. Validate required fields before use.
  4. Register the new adapter in capability_matrix.adapters_selected.
  5. Continue in degraded mode only if validation fails or auth/capability remains unavailable.

Anti-Bloat Rules

  • Keep core contract tool-agnostic.
  • Do not add tracker- or host-specific logic to core files.
  • Add a new adapter only for a proven capability gap.
  • Keep schemas single-source; do not duplicate fields across files.
  • Tie each new feature to one concrete failure mode and one test scenario.
  • Generate ad-hoc adapters only for current task scope; do not pre-generate broad catalogs.
  • Use canonical capability IDs first; extend only when needed via namespaced custom IDs.

Edge Cases

  • Multi-repo: maintain one hub with per-repo adapter bindings and dependency graph.
  • Non-git prototype: use local artifacts and explicit acceptance criteria checkpoints.
  • Team swarm: assign owner per phase and keep decision log in hub.
安全使用建议
This skill is an instruction-only orchestration template and appears internally consistent. It does not ask for credentials or install software by itself, but when you bind adapters (e.g., GitHub, local-repo, tracker) the agent will ask you to provide appropriate access (tokens, filesystem paths, scopes). Before granting access: (1) limit tokens to least privilege (read-only where possible), (2) verify any ad-hoc adapter specs the agent generates (check provenance fields like created_by/created_at and tool_access_required), (3) prefer local or read-only modes if you don't want remote writes, and (4) be cautious allowing autonomous runs that have write access to repositories or trackers — require strictness or manual confirmations for high-risk operations. If you want more assurance, test the skill in a sandbox workspace with limited permissions first.
功能分析
Type: OpenClaw Skill Name: intent-align Version: 2.0.0 The skill bundle is classified as suspicious due to its explicit declaration of high-risk capabilities, particularly local command/tool execution and extensive file system access, which, while stated as necessary for its intended purpose, present a significant vulnerability surface. Specifically, `references/adapters/local-repo.md` states 'Require command/tool execution permission where needed' and 'Run local verification steps when available'. Additionally, `references/adapters/adapter-template.md` and `references/core-contract.md` define `tool_access_required` for adapters, confirming the agent's design to utilize various tools. While there is no direct evidence of malicious intent (e.g., exfiltration, backdoors, or prompt injection for harmful objectives) within the provided files, these broad capabilities could be easily exploited for arbitrary code execution or unauthorized actions if the agent's inputs are not rigorously sanitized or if it is compromised.
能力评估
Purpose & Capability
The name and description match the content: templates and runtime instructions for running an intent-alignment hub and selecting adapters. Declared requirements are minimal (none), and the adapters documented (local repo, GitHub, generic tracker) are expected for a coordination/orchestration skill.
Instruction Scope
SKILL.md and referenced docs instruct the agent to read the shipped references, create/maintain an alignment hub, run gates, and bind adapters. This scope is appropriate for an orchestration skill. Note: the adapters explicitly describe requiring filesystem or GitHub credentials when those adapters are selected — that behavior is reasonable but means the agent will request access at adapter binding time.
Install Mechanism
Instruction-only skill with no install spec and no code files to execute; lowest-risk installation footprint.
Credentials
The skill itself declares no environment variables, secrets, or config paths. Adapter docs describe requiring credentials (e.g., GitHub token, filesystem access) when those adapters are used — that is proportionate and expected for the described adapters.
Persistence & Privilege
always is false and model invocation is allowed (default). The skill does not request persistent system-wide changes or modify other skills. Autonomous invocation is normal for skills; no additional privileged persistence is requested.
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 intent-align
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /intent-align 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
v2.0.0
intent-align v2.0.0 Intent alignment orchestration for OpenClaw agent teams across diverse host environments. Use when work must stay anchored to user goals while allowing flexible execution: (1) coding with repos/PRs/issues, (2) multi-phase delivery with checkpoints, (3) multi-agent or multi-repo coordination, (4) evolving requirements needing structured re-alignment and user clarification loops. - Major overhaul of core workflow: introduces new "intent snapshot," strictness modes, and ambiguity handling. - Added alignment hub template and expanded phase-based execution with realignment and verification gates. - Clearly defined autonomy levels to control user confirmation and agent flexibility. - Introduced modular adapter system for various environments (GitHub, local repo, trackers) with adapter validation and provenance tracking. - Enforced anti-bloat policies: stricter separation of concerns, focused capabilities, and schema consistency. - Expanded handling for edge cases: multi-repo support, non-git prototypes, and multi-agent team orchestration. - All changes documented with required links to essential references and quick start guide.
元数据
Slug intent-align
版本 2.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Intent Align 是什么?

Intent-alignment orchestration for OpenClaw agent teams across diverse host environments. Use when work must stay anchored to user goals while allowing flexi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 475 次。

如何安装 Intent Align?

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

Intent Align 是免费的吗?

是的,Intent Align 完全免费(开源免费),可自由下载、安装和使用。

Intent Align 支持哪些平台?

Intent Align 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 Intent Align?

由 oscraters(@oscraters)开发并维护,当前版本 v2.0.0。

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