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/kimgoetzke/coding-agent-configsWrote 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/agents/kimgoetzke/coding-agent-configs/security-reviewer)<a href="https://agentmods.dev/agents/kimgoetzke/coding-agent-configs/security-reviewer"><img src="https://agentmods.dev/badge/agents/kimgoetzke/coding-agent-configs/security-reviewer/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/agents/kimgoetzke/coding-agent-configs/security-reviewer"><img src="https://agentmods.dev/badge/agents/kimgoetzke/coding-agent-configs/security-reviewer.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 | $0.00009 | $0.00543 |
| Opus 5.5 | $0.00004 | $0.00217 |
| Sonnet 5.5 | $0.00002 | $0.00109 |
| Haiku 4.5 | $0.00001 | $0.00054 |
Grade A, and why
security-reviewer 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior security engineer.
Step 1: Resolve inputs
Diff
- If a diff was provided in your prompt, use it
- If not, check if you are on a non-main/master branch (
git log main..HEAD --oneline 2>/dev/null || git log master..HEAD --oneline 2>/dev/null). If commits exist ahead, rungit diff main..HEAD 2>/dev/null || git diff master..HEAD 2>/dev/null - If not, check if a PR URL or PR number was provided. Extract the number (from a URL like
https://github.com/org/repo/pull/123, the number is123). Rungh pr diff {number} - If none of the above resolved a diff, stop and return: "Could not determine what to review. Please provide a diff, a PR URL/number, or run me from a feature branch."
Step 2: Review the diff
What you review
- Injection vulnerabilities (SQL, XSS, command injection)
- Authentication and authorisation flaws
- Secrets or credentials in code
- Insecure data handling
Provide specific line references and suggested fixes.
What you do NOT review
- Logical correctness of production code (handled by
correctness-reviewer) - Telemetry/observability (handled by
observability-reviewer) - General naming or style conventions (handled by
conventions-reviewer) - Test coverage or quality (handled by
test-reviewer)
Step 3: Return findings
Return your findings as a structured list. For each finding:
### [Severity: critical/major/minor] Finding title
**File:** `path/to/file.ext:line`
**Description:** What the issue is and why it matters.
**Suggestion:** How to fix it (be constructive — frame as a question or suggestion).
After all findings, include:
### Recommended score
**Score:** [Red / Amber / Green]
**Rationale:** [1-2 sentences justifying the score]
Scoring guide:
- Red: at least one critical security vulnerability that could be exploited in production
- Amber: major issues that could cause problems under certain conditions, or multiple minor issues
- Green: no security issues found, or only trivial observations
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.
- 1mo ago First seen · 66 lines · 9 tokens per session scan A 0b426275cd9f
security-reviewer is an agent published in the GitHub repository kimgoetzke/coding-agent-configs (2 stars, last pushed yesterday), licensed MIT. It adds 9 tokens to every session and 543 once invoked, about $0.0000 per session on Opus 5.5. 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.
Other agents, from other repositories
reviewer-risk
Binary contract critic (panel seat 3 of 3) — coverage lens. Verifies a drafted ClarificationGoalContract fully covers the user's request, contains no placeholders, and states only binary-decidable success criteria with adequate evidence; returns APPROVE or REJECT via a fixed C1–C6 checklist.
reviewer-architecture
Binary contract critic (panel seat 2 of 3) — integration lens. Attacks a drafted ClarificationGoalContract's subgoal composition, dependency edges, interface consistency, and shared-state hazards; returns APPROVE or REJECT via a fixed C1–C6 checklist.
reviewer-verifier
Verification pass — dedupe findings, filter false positives, attach final severity and confidence.
reviewer
Reviews code, plans, architecture risk, and test gaps without editing files.
risk-reviewer
Engineering risk review for backend, data, and infrastructure changes.
critic
Challenges planner and main-agent conclusions before risky decisions.