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-config-refreshgit 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-config-refresh)<a href="https://agentmods.dev/skills/metagit-ai/metagit-cli/metagit-config-refresh"><img src="https://agentmods.dev/badge/skills/metagit-ai/metagit-cli/metagit-config-refresh/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-config-refresh"><img src="https://agentmods.dev/badge/skills/metagit-ai/metagit-cli/metagit-config-refresh.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 | $0.00034 | $0.00185 |
| Opus 5 | $0.00017 | $0.00093 |
| Sonnet 5 | $0.00007 | $0.00037 |
| Haiku 4.5 | $0.00003 | $0.00018 |
Grade A, and why
metagit-config-refresh 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.
What it actually says
Refreshing Project Config
Use this skill to keep .metagit.yml accurate and operational.
Workflow
- Check workspace activation and config validity.
- Run bootstrap plan mode first.
- Review generated changes against expected workspace topology.
- Apply config updates and validate schema before continuing.
Command Wrapper
./skills/metagit-bootstrap/scripts/bootstrap-config.sh [root_path] [mode] [seed_context]
Output Contract
Return:
- config health state before/after
- generated update summary
- any manual follow-up needed
Safety
- Prefer plan/dry-run first for large config updates.
- Keep changes bounded to target workspace intent.
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 · 33 lines · 34 tokens per session scan A 6565b76b7fb9
metagit-config-refresh is a skill published in the GitHub repository metagit-ai/metagit-cli (3 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 185 once invoked, about $0.0002 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.
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