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.
git clone --depth 1 https://github.com/delorenj/ssbnkWrote 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/delorenj/ssbnk/review)<a href="https://agentmods.dev/commands/delorenj/ssbnk/review"><img src="https://agentmods.dev/badge/commands/delorenj/ssbnk/review/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/commands/delorenj/ssbnk/review"><img src="https://agentmods.dev/badge/commands/delorenj/ssbnk/review.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 | $0.00008 | $0.00156 |
| Opus 5 | $0.00004 | $0.00078 |
| Sonnet 5 | $0.00002 | $0.00031 |
| Haiku 4.5 | $0.00001 | $0.00016 |
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 7d 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.
This is a copy
100% identical to review — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Delegate to the reviewer agent to perform a code review.
Scope: $ARGUMENTS
If no arguments provided, review staged changes using git diff --cached.
If argument is "recent", review changes since last commit using git diff HEAD~1.
Otherwise, review the specified file(s) or directory.
The reviewer agent will:
- Load the code-review skill
- Apply the 4 Review Layers (Correctness, Security, Performance, Style)
- Classify findings by severity (Critical, Major, Minor, Nitpick)
- Only report findings with >=80% confidence
- Include positive observations
- Provide Philosophy Compliance checklist results
Return the complete review findings to the user.
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.
- 7d ago First seen · 22 lines · 8 tokens per session scan A 4dd8c9ab0b80
review is a command published in the GitHub repository delorenj/ssbnk (2 stars, last pushed 6d ago), licensed MIT. It adds 8 tokens to every session and 156 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to review, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
audit-quick
Run a quick codebase orientation scan — Phases 0 and 1 only (architecture map + health assessment). Skips deep analysis (security, performance, code quality) and the roadmap. Good for onboarding onto a new project or a fast pre-review checkup. Run /audit --resume later to continue with the deep phases.
code-review
Code review a pull request.
review
Perform a comprehensive code review with actionable feedback.
review
You are an expert code reviewer. Your job is to review code changes and provide actionable feedback.
adversarial-review
Get a devil's advocate review that challenges your design decisions.
code-simplify
Simplify code incrementally while preserving behavior exactly.