Borrowing it
Nothing to install: this file belongs to ysfAskri/archguardian. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ysfAskri/archguardian/master/.claude/skills/check/SKILL.mdgit clone --depth 1 https://github.com/ysfAskri/archguardianWrote 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/ysfaskri/archguardian/check)<a href="https://agentmods.dev/skills/ysfaskri/archguardian/check"><img src="https://agentmods.dev/badge/skills/ysfaskri/archguardian/check/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/ysfaskri/archguardian/check"><img src="https://agentmods.dev/badge/skills/ysfaskri/archguardian/check.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 | $0.00011 | $0.00322 |
| Opus 5.5 | $0.00004 | $0.00129 |
| Sonnet 5.5 | $0.00002 | $0.00064 |
| Haiku 4.5 | $0.00001 | $0.00032 |
Grade A, and why
check 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 1mo 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
archguardian check
Analyze only the staged git changes to catch issues before they are committed.
Instructions
-
Verify there are staged changes:
git diff --cached --statIf nothing is staged, tell the user and suggest staging files first.
-
Run the check command:
npx archguardian check --format json $ARGUMENTS -
Parse the JSON output and present findings, focusing only on the staged files.
-
For each finding:
- Show the file, line, and rule
- Explain what's wrong and how to fix it
- Offer to apply the fix directly
-
If all checks pass, tell the user they're clear to commit.
Tips
- This is the same analysis that runs in the pre-commit hook.
- If the user wants to commit despite warnings, suggest using
// archguard-ignore-linefor intentional exceptions. - Offer
/fix --dry-runto preview auto-fixes before applying. - Use
--quality-gateto enforce quality thresholds and get a pass/fail result (see/gate). - Use
--ci githubin CI pipelines to output findings as GitHub Actions annotations. - Use
--post-to-prto post findings as inline review comments on a GitHub PR (requires GITHUB_TOKEN).
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.
- 1mo ago First seen · 42 lines · 11 tokens per session scan A 9a29c46777ac
check is a skill published in the GitHub repository ysfAskri/archguardian (4 stars, last pushed 8mo ago), licensed MIT. It adds 11 tokens to every session and 322 once invoked, about $0.0000 per session on Opus 5.5. 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
autofix-pr
Watch a pull request and fix it from a worktree of its own - CI failures, review feedback from trusted authors and merge conflicts are fixed, pushed to the PR branch and answered on the PR under the user's git and gh identity. Usage - /autofix-pr [ | ] [--once] [--every ] [--no-reply] [--yes] [instructions]…
ring:generating-pr-descriptions
Generating pull request descriptions from git branch changes with automatic title generation, change-type detection, and smart analysis. Uses branch-only scope to avoid full history analysis. Use when preparing a PR for review. Skip when the PR is a single trivial commit or description already exists.
argot-setup
Set argot up for a repository end to end — audit its history, decide what should shape its voice, fit, verify the fit actually catches things, tune the rules its own history says are noisy, and wire the places it runs (pre-write hook, pre-commit, MCP, CI). One sitting, one decision at a time, each proposed with the…
loop-gh-pr
A recipe for a scheduled GitHub pull-request watcher. It checks open pull requests for new activity and prepares read-only review drafts without posting comments or merging anything.
review
Structured code review with parallel audit agents, confidence-scored triage, and optional auto-fix. Examines uncommitted changes, staged diffs, commit ranges, or specific paths. Produces a tiered report (MUST-FIX / RECOMMENDED / NIT) backed by evidence, then optionally applies fixes with verification.
git-flow-pr
Executes the full PR-driven development workflow: create an isolated feature branch from the current work, commit all staged changes, rebase cleanly onto the selected base branch (skipping any ancestor commits already merged), push the branch, and open a GitHub pull request linked to a related issue. Includes guidance…