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 skills/nirecom/agents/review-code-securitynpx skills add nirecom/agents --skill review-code-securitygit clone --depth 1 https://github.com/nirecom/agentsWhat 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 | $0.00021 | $0.01677 |
| Opus 5 | $0.00010 | $0.00839 |
| Sonnet 5 | $0.00004 | $0.00335 |
| Haiku 4.5 | $0.00002 | $0.00168 |
Grade A, and why
review-code-security scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scan the specified code for security anti-patterns using the same three axes as /review-plan-security. Use after implementation to verify the plan's security goals hold in the actual code.
When to Use
Use when the implementation touches external input, secrets handling, or third-party integrations. Pass a file path, diff, or describe the code to review.
Rules
- Report each finding with: file/location, pattern category, and recommended fix.
- Note context for potential false positives (test fixtures, comments, examples).
- For commit-time auto-scanning of hard secrets (AWS/LLM API keys, PEM keys, GitHub/Slack tokens,
.envcommits), seedocs/scan-outbound.md— those are covered automatically. - Sibling sweep: enumerate functions, logic, or patterns the change touches that belong to a class; flag siblings as MUST / OPTIONAL / NA for same treatment.
Procedure
RCS-1. Open the concern round (Bash): bash "$AGENTS_CONFIG_DIR/skills/review-code-security/scripts/open-concern-round.sh" — prints ROUND, PLANS_DIR, SESSION_ID, and the [PRIOR CONCERNS START]…[PRIOR CONCERNS END] block both producers receive. ROUND=0 means the ledger is unavailable: run RCS-2 and RCS-3, report the NOT-STAGED line, skip the ledger close-out in ## Completion.
RCS-2. Delegate scan to security-scanner, issued together with the RCS-3 quality gates per skills/_shared/subagent-concurrency.md SC-P (independent — both are read-only over the merge-base diff and write no shared target):
Agent({ subagent_type: "security-scanner", prompt: JSON.stringify({
topic: "security review", context: SCAN_TARGET,
artifact_dir: PLANS_DIR, prior_concerns: PRIOR_BLOCK
}) })
Pass the RCS-1 block verbatim as prior_concerns; omit the key when RCS-1 printed none.
On failed status: surface summary + artifact_path to user.
Output: ## Security Review: PERFORMED|FAILED (1 line) + artifact_path pointer. Read report only on failure or explicit user request.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 90 lines · 21 tokens per session scan A 562b3589b9ba
review-code-security is a skill published in the GitHub repository nirecom/agents (3 stars, last pushed 2d ago), licensed MIT. It adds 21 tokens to every session and 1,677 once invoked, about $0.0001 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 2026-08-31.
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