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tacit-knowledge-worker
作者
Daniel Foo Jun Wei
· GitHub ↗
· v1.0.0
· MIT-0
82
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install the-tacit-worker
功能描述
A unified AI Engineering Operating System that orchestrates the full lifecycle of agent creation - extracting tacit knowledge, structuring the Agent OS, and...
安全使用建议
This skill appears to be what it claims — a structured authoring + governance toolkit for building agent 'OS' artifacts. Before installing/using it: 1) Note that the workflow expects you to run a Python verification script (verify_action.py) but the skill doesn't declare Python as a required binary and the manifest contains the script as a .md file; ensure a trusted copy of the .py file exists and that you have Python available. 2) The verification step requires supplying absolute file paths and will read file contents to verify claims — do not allow the agent to verify or be asked to prove actions on sensitive system files or secrets. 3) Keep the mandatory human confirmation steps (Phase 1 pause) in place; do not auto-approve syntheses or proofs without manual review. 4) If you plan to run this in an automated environment, create explicit guards that restrict which file-paths the agent may claim and verify, and ensure logging/audit trails are protected. If you want me to, I can: (a) produce a runnable verify_action.py file extracted from the embedded code, (b) suggest a minimal runtime/permission policy for safe use, or (c) produce checklist items to harden the verification step against accidental exposure.
功能分析
Type: OpenClaw Skill
Name: the-tacit-worker
Version: 1.0.0
The skill bundle provides a structured framework for 'Knowledge Engineering' and agent governance, focusing on extracting tacit knowledge and building structured 'Agent OS' configurations. It includes a Python script (scripts/verify_action.py) designed to verify file system actions—checking for file existence, content matches, and recent modification timestamps—to prevent AI hallucinations. The instructions and governance checklists (references/governance_checklist.md) emphasize transparency, least-privilege access, and human-in-the-loop verification, with no evidence of malicious intent, data exfiltration, or unauthorized remote execution.
能力评估
Purpose & Capability
The skill's declared purpose (tacit knowledge extraction, building an Agent OS, pre-deployment audits) matches the provided templates, references, and the Verify Action script. However, the runtime instructions call for running a Python script (verify_action.py) but the skill declares no required binaries (e.g., python) and the manifest contains scripts/verify_action.md (the script embedded in a markdown file) rather than an explicit executable .py file—this is an operational inconsistency (the skill expects a runnable script but doesn't declare or install the runtime).
Instruction Scope
The SKILL.md stays within the stated scope: it prescribes a structured interview, template-based file generation, and a pre-deployment verification step. The Verify Action script reads files given by the agent (checks existence, content substring, and modification time). That behavior is coherent with the Proof-of-Action goal, but it means the verification step will read arbitrary file paths the agent claims — if misused or run without human oversight it could expose sensitive file contents. The SKILL.md correctly mandates pausing for user confirmation before proceeding in Phase 1, which reduces risk.
Install Mechanism
This is an instruction-only skill with no install spec and no network downloads. No install-related risks are present in the metadata. The only executable content is a Python script included as text inside the repo (embedded in scripts/verify_action.md).
Credentials
The skill does not request environment variables, credentials, config paths, or external services. The templates and checklists reference local files and policies only, which is proportionate to its purpose.
Persistence & Privilege
The skill is not marked always:true and uses default autonomous invocation settings. Nothing in the skill attempts to modify other skills or request persistent system-wide privileges.
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 the-tacit-worker - 安装完成后，直接呼叫该 Skill 的名称或使用
/the-tacit-worker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
v1.0.0
- Initial release of the AI Engineering Operating System skill.
- Implements a unified three-phase pipeline: Tacit Knowledge Extraction, Agent OS Architecture, and Pre-Deployment Governance.
- Provides modular file and template structure for extracting expertise, building agent OS, and enforcing anti-hallucination protocols.
- Supports self-improving feedback loops to refine extraction, architecture, and governance processes.
- Includes detailed guidance, templates, and scripts to ensure agents are context-aware, well-governed, and production-ready.
元数据
常见问题
tacit-knowledge-worker 是什么？
A unified AI Engineering Operating System that orchestrates the full lifecycle of agent creation - extracting tacit knowledge, structuring the Agent OS, and... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 82 次。
如何安装 tacit-knowledge-worker？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install the-tacit-worker」即可一键安装，无需额外配置。
tacit-knowledge-worker 是免费的吗？
是的，tacit-knowledge-worker 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
tacit-knowledge-worker 支持哪些平台？
tacit-knowledge-worker 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 tacit-knowledge-worker？
由 Daniel Foo Jun Wei（@danielfoojunwei）开发并维护，当前版本 v1.0.0。
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