Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add metagit-ai/metagit-cli --skill metagit-gatinggit clone --depth 1 https://github.com/metagit-ai/metagit-cliWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/metagit-ai/metagit-cli/metagit-gating)<a href="https://agentmods.dev/skills/metagit-ai/metagit-cli/metagit-gating"><img src="https://agentmods.dev/badge/skills/metagit-ai/metagit-cli/metagit-gating/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/metagit-ai/metagit-cli/metagit-gating"><img src="https://agentmods.dev/badge/skills/metagit-ai/metagit-cli/metagit-gating.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.00527 |
| Opus 5 | $0.00015 | $0.00264 |
| Sonnet 5 | $0.00006 | $0.00105 |
| Haiku 4.5 | $0.00003 | $0.00053 |
Grade A, and why
metagit-gating scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Metagit MCP Gating Skill
Use this skill whenever you need to control whether Metagit MCP tools/resources are exposed.
Purpose
Ensure high-risk tooling and multi-repo context are only available when a valid .metagit.yml exists at the resolved workspace root.
Bundled scripts (optional)
Hermes skill_manage installs SKILL.md only. Resolve scripts from the package or a full
metagit skills install:
SKILL_ROOT="$(python3 -c "import metagit, pathlib; print(pathlib.Path(metagit.__file__).parent / 'data/skills/metagit-gating')")"
"$SKILL_ROOT/scripts/gate-status.sh" [root_path]
Expected output (single line, tab-delimited):
state=<value>\troot=<path|none>\ttools=<count>
Inline CLI fallback (no scripts)
metagit mcp serve --status-once --root .
metagit config validate -c .metagit.yml
Parse mcp_state= from --status-once output (missing, invalid, or active).
Activation Workflow
- Resolve workspace root:
METAGIT_WORKSPACE_ROOT- CLI
--root - upward directory walk
- Check for
.metagit.ymlin resolved root. - Validate config through existing Metagit config models.
- Derive activation state: missing, invalid, or active.
- Register tool surface based on state.
Tool Exposure Contract
Inactive (missing or invalid config)
Expose only:
metagit_workspace_statusmetagit_bootstrap_config_plan_only
Active (valid config)
Expose full set:
metagit_workspace_statusmetagit_workspace_indexmetagit_workspace_searchmetagit_upstream_hintsmetagit_repo_inspectmetagit_repo_syncmetagit_bootstrap_config
Error Handling
- Return explicit, machine-readable state and reason.
- Avoid stack traces in user-facing outputs.
- Log parser/validation errors with enough detail for debugging.
Safety Rules
- Never expose mutation-capable tools in inactive state.
- Never operate outside validated workspace boundaries.
- Keep defaults read-only unless user/agent explicitly opts in.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 76 lines · 29 tokens per session scan A a1e9306cb977
metagit-gating is a skill published in the GitHub repository metagit-ai/metagit-cli (3 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 527 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
clawrium-release-announcements
Daily — draft a release blog post, open a PR, iterate on comments until merged.
blog-author
Watch ric03uec/clawrium release tags; draft a short blog post per user-visible feature as a PR against blog/.
release-watcher
Watch upstream Claw releases and clawrium discussions; surface top 3 feature candidates to Devashish via Discord DM for approve/skip.
perseus
Use when you need a bounded, local Perseus context render before an assistant reads project state. Perseus resolves selected workspace inputs such as git, services, sessions, and task notes into markdown. Use for deterministic session starts, workspace audits, and explicit context handoffs.
pypi-release
This skill should be used when releasing tunacode-cli to PyPI. It keeps the existing local release checks, then hands the actual PyPI upload to a GitHub Actions workflow that uses the repository's PYPIAPITOKEN secret.
memory-commit
Use when the user explicitly says "remember this", "save this", "ghi nho", "luu lai", "save for next time", or otherwise asks to persist the immediately preceding context. Captures with the appropriate contexttype (decision, preference, fact, skill, task, conversation) so future sessions can retrieve it accurately.