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Skill Governance

CommunityPopular
daymade
skill-governance

Govern the real Claude Code and Codex Skill surface without losing cold capability. Use when users ask how many Skills are loaded, why the catalog is huge or descriptions are truncated, want only routers visible while gstack/Lark/IMA/UiPath stay on disk, or need to reconcile source/install/cache drift, `.agents/skills`/`.claude/skills`/legacy `.codex/skills`, loose or duplicate Skills, discovery policy, marketplace sources, suite migrations, superseded plugins, or old cache versions. Verifies the fresh host catalog and router resources; filesystem counts or completed cleanup are not success.

Overview

Publisherdaymade
Repositoryclaude-code-skills
Skill nameskill-governance
Stars
1.4K
Forks
219
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by daymade on GitHub. Read the source before you install it.

Installation

Install the Skill Governance AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/daymade/claude-code-skills.git /tmp/claude-code-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-skills/daymade-skill/skill-governance .claude/skills/skill-governance
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Governance in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Governance on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Governance is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Skill Governance

Govern the Skill surface the user actually experiences: the intended hot or router entries are fully visible in a fresh host, cold capabilities remain reachable, editable behavior has one canonical owner, and every retirement is recoverable. A smaller directory count is not the outcome.

Required outcome contract

Before acting, state in one sentence:

  • which entries or routers must be model-visible;
  • which capabilities must remain available cold;
  • which layer the user authorized changing;
  • what fresh-host evidence will prove success.

If the request is only “how many / what is loaded / why”, stay read-only.

System model

Never collapse these layers into one:

  1. Canonical source — where owned behavior may be edited.
  2. Installed inventory — bundles and versions that exist on disk.
  3. Discovery policy — what Claude or Codex may discover.
  4. Model-visible catalog — metadata in a fresh model prompt.
  5. Runtime resources — hidden scripts, references, and assets a router still needs.

Installed does not mean active; active does not prove visible; visible does not prove usable. Counts and byte totals are diagnostic values only.

Authority order

Use current runtime truth, not remembered conventions:

  • owned source repos and their manifests for editable Skill behavior;
  • claude plugin ... --json for current Claude marketplace/install state;
  • the explicit source-sync activation manifest for managed Daymade links;
  • ~/.agents/skills as Codex's current user Skill root;
  • exact-path ~/.codex/config.toml policy for Codex discovery disables;
  • codex debug prompt-input for the actual fresh Codex catalog;
  • the installed vendor bundle for third-party cold resources.

~/.codex/skills is legacy/system compatibility unless a current local contract explicitly assigns it another role. Never move third-party inventory into an owned-source activation manifest just to make ownership look complete.

Route the request

Read the named section of references/skill-surface-governance.md completely before using that workflow.

RequestRead and use
What Codex really loads; count, truncation, duplicate identity, missing router§3–4, then §11
Reconcile owned source links or ~/.agents/skills activation§2–5, then §11
Keep gstack/Lark/IMA/UiPath or another bundle cold behind a router§2–4, §6, then §11
Claude marketplace/plugin source or installed-state drift§2–3, §7, then §11
Old cache versions§2 and §7 “Exceptional manual cache repair”
Standalone plugins superseded by a suite§7–8, then §11
Project .claude/skills vs .agents/skills drift§9, then §11
Retire loose or duplicate Skill directories§2–3, §10–11

Fast read-only Codex audit

For a newly registered Skill whose local use is part of the delivery, run the target-name checks in references/skill-surface-governance.md §14 before calling it ready. This covers Claude's fresh command catalog and Codex's fresh prompt. The name must come from the requested delivery, not only the active whitelist.

Run from this Skill bundle:

bash
python3 scripts/audit_codex_skill_surface.py --json

Only add policy the user or activation SSOT actually declared:

bash
python3 scripts/audit_codex_skill_surface.py \
  --require-visible gstack-router \
  --json

The script compares codex debug prompt-input with the complete metadata parsed by Codex's own app-server skills/list, plus exact activation/discovery policy. Exit 0 is clean, 1 is pressure or drift to classify, and 2 means the evidence is invalid. It is read-only. Do not convert exit 1 into automatic pruning.

For a project's dual roots:

bash
python3 scripts/audit_project_skill_roots.py <project-root> --json

That audit pairs direct child bundles by frontmatter name, recognizes only its explicit fail-visible compatibility-router contract, and distinguishes shared targets, identical copies, real drift, and invalid state.

Non-negotiable safety boundaries

  • Drift checks are read-only. Config edits, link sync, installs, uninstalls, moves, cache repair, and marketplace source changes require authorization.
  • Preserve Claude plugin scope. Verify replacements before retiring old identities.
  • Never use direct cache copying as installation or source sync.
  • Do not enforce “one cache version”. Current Claude Code owns orphan-version grace for running sessions; manual cache removal is exceptional repair only.
  • Do not use blind marketplace remove-then-add. Removing the last scoped marketplace can uninstall its plugins.
  • Read every candidate's unique instructions, scripts, references, and assets before calling it redundant. Old or short does not mean valueless.
  • Keep cold third-party resources installed; hide only their exact discovery paths, then prove the router still resolves one representative capability.
  • Retire by recoverable move plus file/executable/hash manifest, never by rm -rf.
  • Existing sessions retain startup metadata. Restart before treating the interactive catalog as verification.

Source and activation ownership

For Daymade source-backed Codex activation, route to the current claude-switch-models-setup dry-run/apply workflow. Its explicit codex-active-skills.json owns only links created from declared source marketplaces. Do not reimplement its collision, symlink, or pruning logic here.

For Claude plugins, inspect current marketplace and install JSON, update or reinstall through the official CLI at the original scope, and independently read back the result. Treat cache folders as derived runtime artifacts.

For suite topology changes, use marketplace-dev to edit the source manifest; use this Skill only to reconcile already-landed migrations on the current host.

Definition of done

All applicable claims must be proven independently:

  • canonical source and current owner are named;
  • selected direct entries/routers appear in a fresh prompt under the requested discovery policy; report description truncation separately, including when the installation-only target gate passes;
  • entries intended cold are absent from that catalog;
  • one representative cold capability still resolves and works;
  • source-backed links or Claude installs read back with the intended identity, source/version, and scope;
  • any retired bundle and its recovery manifest still exist;
  • unresolved ownership, host-version behavior, or deliberately retained exceptions are explicit.

Use the reference's task-behavior check only when actual task execution is part of delivery; catalog visibility alone does not prove that result.

Stop there. Do not create a new hook, manifest, report layer, or cleanup project unless the requested outcome still lacks evidence.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Skill Governance AI skill do?

Govern the real Claude Code and Codex Skill surface without losing cold capability. Use when users ask how many Skills are loaded, why the catalog is huge or descriptions are truncated, want only routers visible while gstack/Lark/IMA/UiPath stay on disk, or need to reconcile source/install/cache drift, `.agents/skills`/`.claude/skills`/legacy `.codex/skills`, loose or duplicate Skills, discovery policy, marketplace sources, suite migrations, superseded plugins, or old cache versions. Verifies the fresh host catalog and router resources; filesystem counts or completed cleanup are not success.

Why use Skill Governance on TypingMind?

Because you install it once and use it with any model. Skill Governance is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Governance in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/daymade/claude-code-skills/tree/main/daymade-skill/skill-governance. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Governance?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Governance?

As many as you like. As long as a model supports skills, you can use Skill Governance with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Governance AI skill free?

Yes. It is published on GitHub by daymade under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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