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 agentmods add commands/ysfaskri/archguardian/scangit clone --depth 1 https://github.com/ysfAskri/archguardianWhat 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 | $0.00000 | $0.00137 |
| Opus 5 | $0.00000 | $0.00068 |
| Sonnet 5 | $0.00000 | $0.00027 |
| Haiku 4.5 | $0.00000 | $0.00014 |
Grade A, and why
scan 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 2d 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
Run a full archguardian project scan and help the user understand findings.
- Run
npx archguardian scan --format json - Parse findings grouped by severity (errors > warnings > info)
- For each finding: explain the rule, show the code, suggest a fix
- If many findings, summarize top issues first
- Offer
/fixfor auto-fixable issues,/suppressfor false positives - If first-time adoption, suggest
/baselineto snapshot current state
Use --quality-gate to enforce thresholds and fail on violations.
Use --ci github for GitHub Actions integration with inline annotations.
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.
- 2d ago First seen · 12 lines · 0 tokens per session scan A 029784b0f4ab
scan is a command published in the GitHub repository ysfAskri/archguardian (4 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 137 tokens. 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 commands, from other repositories
readme-audit
Audit a README's reading flow by treating it as a conversion funnel. Every section is evaluated against a target reader and a terminal action. Produces a structured audit blueprint that feeds directly into /readme-restructure.
readme-restructure
Execute a /readme-audit blueprint. Rewrites the README to the evaluator → conversion → links structure and creates linked docs by extracting and reorganising existing content.
review-impl
Unbiased review of another session's implementation (diff, staged, or branch).
re-review
Round 2+ review — confirm revisions landed, catch regressions, do not re-litigate.
review-plan
Unbiased review of another session's implementation plan.
review-spec
Unbiased review of another session's spec or design doc.