agentleFS
jurgendnjurgendn/agent-skills/skills/learning-and-metacognition/knowledge-debt-audit/SKILL.md

knowledge-debt-audit

Skill10 starsChanged 59 days agoNo licenceView on GitHub

Detect when AI assistance has produced output you cannot regenerate yourself, call the loan before it compounds, and re-probe repaid debt on a spaced, variable-cue schedule. "Get the work done" is not "I understand it." Trigger when the user is about to BUILD ON an AI-produced result ("before I extend this", "am I understanding this or just getting it done", "check whether I really get this"), wants a standing audit ("what am I in debt for", "what could I not rebuild alone"), or starts a session or periodic review in a workspace with `debt-ledger.yaml`. Two modes — REACTIVE (circuit breaker at the borrow moment) and PERIODIC (statement of account plus due re-probes). Probe UNDERSTANDING of the load-bearing step, never RECALL of incidentals. Do NOT use to generate practice (concept-exercise-generator) or teach a concept fresh (professor-mentor-technical-teaching).

The file

We split this skill into the rules it gives an agent

12 rules. About 0 are common, 7 are distinctive, and 5 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈7

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.