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/logi-cmd/agent-guardrails/reviewgit clone --depth 1 https://github.com/logi-cmd/agent-guardrailsWrote 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/commands/logi-cmd/agent-guardrails/review)<a href="https://agentmods.dev/commands/logi-cmd/agent-guardrails/review"><img src="https://agentmods.dev/badge/commands/logi-cmd/agent-guardrails/review.svg" alt="Measured on agentmods" 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 | $0.00009 | $0.00358 |
| Opus 5 | $0.00005 | $0.00179 |
| Sonnet 5 | $0.00002 | $0.00072 |
| Haiku 4.5 | $0.00001 | $0.00036 |
Grade A, and why
review 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 5d 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
/ag:review - PR Review
Triggers
- User wants to review changes before merge
- User has finished implementing a task
- User types
/ag:review
Context Trigger Pattern
/ag:review [--base-ref <ref>] [--commands-run "<cmd1>, <cmd2>"]
Default behavior: npx agent-guardrails check --base-ref origin/main --review
Behavioral Flow
- Analyze: Review all changes vs base branch
- Risk assessment: Identify high-risk areas (auth, security, critical paths)
- Evidence check: Verify evidence file is updated
- Report: Generate reviewer summary with:
- Changed files list
- Validation status
- Risk level
- Remaining concerns
Key Patterns
- Comprehensive review: Scope + tests + drift + evidence
- Risk stratification: Categorize changes by risk level
- Deploy readiness: Clear verdict on merge safety
Examples
Basic review
/ag:review
# Runs: npx agent-guardrails check --base-ref origin/main --review
Review with commands run
/ag:review --commands-run "npm test, npm run lint"
# Shows commands that were run in the review summary
Boundaries
Will:
- Generate comprehensive review summary
- Flag high-risk changes
- Provide clear merge recommendation
Will Not:
- Auto-merge without user approval
- Skip evidence verification
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.
- 5d ago First seen · 61 lines · 9 tokens per session scan A d8a02b2db0b9
review is a command published in the GitHub repository logi-cmd/agent-guardrails (29 stars, last pushed 19d ago), licensed MIT. It adds 9 tokens to every session and 358 once invoked, about $0.0000 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 2026-08-30.
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