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/fixgit 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 | $0.00154 |
| Opus 5 | $0.00000 | $0.00077 |
| Sonnet 5 | $0.00000 | $0.00031 |
| Haiku 4.5 | $0.00000 | $0.00015 |
Grade A, and why
fix 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
Auto-fix archguardian findings (unused imports, naming violations).
- Preview fixes first:
npx archguardian fix --dry-run --format json - Show what will change (file, line, description)
- Ask for confirmation before applying
- Apply:
npx archguardian fix - Re-scan to verify:
npx archguardian scan --format json - Report before/after comparison
Supported fixes: unused import removal, naming convention renames. For non-auto-fixable issues, suggest manual fixes or suppression.
Use --ai to enable LLM-powered fixes for complex issues beyond simple auto-fixes.
Use --verify to re-scan after fixing and confirm all issues are resolved.
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 · 15 lines · 0 tokens per session scan A 94a56bb31b2b
fix 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 154 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.