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tacit-knowledge-worker
by
Daniel Foo Jun Wei
· GitHub ↗
· v1.0.0
· MIT-0
82
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Install in OpenClaw
/install the-tacit-worker
Description
A unified AI Engineering Operating System that orchestrates the full lifecycle of agent creation - extracting tacit knowledge, structuring the Agent OS, and...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install the-tacit-worker - After installation, invoke the skill by name or use
/the-tacit-worker - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is tacit-knowledge-worker?
A unified AI Engineering Operating System that orchestrates the full lifecycle of agent creation - extracting tacit knowledge, structuring the Agent OS, and... It is an AI Agent Skill for Claude Code / OpenClaw, with 82 downloads so far.
How do I install tacit-knowledge-worker?
Run "/install the-tacit-worker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is tacit-knowledge-worker free?
Yes, tacit-knowledge-worker is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does tacit-knowledge-worker support?
tacit-knowledge-worker is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created tacit-knowledge-worker?
It is built and maintained by Daniel Foo Jun Wei (@danielfoojunwei); the current version is v1.0.0.
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