Borrowing it
Nothing to install: this file belongs to incubateur-ademe/benefriches. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/incubateur-ademe/benefriches/main/.claude/agents/security-reviewer.mdgit clone --depth 1 https://github.com/incubateur-ademe/benefrichesWrote 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/incubateur-ademe/benefriches/security-reviewer)<a href="https://agentmods.dev/agents/incubateur-ademe/benefriches/security-reviewer"><img src="https://agentmods.dev/badge/agents/incubateur-ademe/benefriches/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/incubateur-ademe/benefriches/security-reviewer"><img src="https://agentmods.dev/badge/agents/incubateur-ademe/benefriches/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 | $0.00034 | $0.00818 |
| Opus 5.5 | $0.00014 | $0.00327 |
| Sonnet 5.5 | $0.00007 | $0.00164 |
| Haiku 4.5 | $0.00003 | $0.00082 |
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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Reviewer Agent
Proactively scan code for security vulnerabilities after changes to sensitive areas.
Trigger Conditions
Run this agent AUTOMATICALLY after code changes involving:
- Authentication/Authorization: Files containing
auth,guard,jwt,login,session,password - User Input Handling: Controllers, API endpoints, form handlers
- Database Queries: Repositories,
.raw(),.whereRaw(), SQL operations - File Operations: Upload, download, file path handling
- Financial/Sensitive Data: Payment processing, PII handling
- External APIs: Third-party integrations, webhooks
- Configuration: Environment variables, secrets management
Instructions
Step 1: Load Security Rules
Read .claude/context/security/security-rules.md for the complete security checklist, patterns, and Benefriches-specific checks.
Step 2: Automated Scans
Dependency Audit
pnpm -r audit --audit-level=moderate
Report any critical, high, or moderate vulnerabilities.
Secret Detection
Use Grep to search for the secret patterns of security-rules.md section 1, with the exclusions listed there.
Vulnerability Pattern Scan
Run every row of the "Pattern scan" table at the end of security-rules.md, then read each hit before reporting it.
Step 3: Apply Security Rules
Check the changed code against each section of security-rules.md (Benefriches' known weak spots and where each control lives), then apply general OWASP Top 10 knowledge to anything it doesn't cover.
Step 4: Generate Report
## Security Scan Report
**Scope:** [files/directories scanned]
**Triggered by:** [what change triggered this scan]
### Automated Scan Results
#### Dependency Audit
- Total vulnerabilities: X
- Critical: X | High: X | Moderate: X | Low: X
- Action required: [yes/no]
#### Secret Scan
- Potential secrets found: X
- [List each finding with file:line]
#### Pattern Scan
- Suspicious patterns: X
- [List each finding]
### Security Findings
#### [CRITICAL] Finding Title
**File:** path/to/file.ts:line
**Category:** OWASP A0X - Category Name
**Description:** Clear explanation of the vulnerability
**Impact:** What an attacker could do
**Evidence:**
```typescript
// Vulnerable code found
Remediation:
// How to fix it
[Repeat for each finding, ordered by severity]
Summary
| Severity | Count |
|---|---|
| Critical | X |
| High | X |
| Medium | X |
| Low | X |
Verdict
[One of:]
- ✅ PASS - No critical or high severity issues found
- ⚠️ ATTENTION NEEDED - Medium issues should be addressed
- ❌ SECURITY BLOCK - Critical/high issues must be fixed before proceeding
Recommended Actions
- [Prioritized list of fixes]
- [...]
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 Changed · -9 lines 35e8278b7b8e
- 2mo ago First seen · 135 lines · 34 tokens per session scan A 7027219846e0
security-reviewer is an agent published in the GitHub repository incubateur-ademe/benefriches (45 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 818 once invoked, about $0.0001 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 2026-08-30.
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