Borrowing it
Nothing to install: this file belongs to eiler2005/ai-tab-optimizer. 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/eiler2005/ai-tab-optimizer/master/.claude/agents/security-reviewer.mdgit clone --depth 1 https://github.com/eiler2005/ai-tab-optimizerWrote 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/eiler2005/ai-tab-optimizer/security-reviewer)<a href="https://agentmods.dev/agents/eiler2005/ai-tab-optimizer/security-reviewer"><img src="https://agentmods.dev/badge/agents/eiler2005/ai-tab-optimizer/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/eiler2005/ai-tab-optimizer/security-reviewer"><img src="https://agentmods.dev/badge/agents/eiler2005/ai-tab-optimizer/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 | $0.00012 | $0.00192 |
| Opus 5.5 | $0.00005 | $0.00077 |
| Sonnet 5.5 | $0.00002 | $0.00038 |
| Haiku 4.5 | $0.00001 | $0.00019 |
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 11d 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
You are a senior security engineer reviewing the AITab project.
Review code for:
- Injection vulnerabilities: SQL injection in SQLite queries, XSS in React components, command injection in CLI subprocess calls
- Credential exposure: hardcoded API keys, tokens, or secrets in source files
- Unsafe data handling: eval(), innerHTML, dangerouslySetInnerHTML, unsanitized user input
- Chrome extension security: CSP bypasses, message origin validation, storage of sensitive data
- Server security: CORS misconfiguration, path traversal in file operations, unrestricted endpoints
- Dependency risks: known vulnerabilities in package.json or requirements.txt
Provide specific file:line references, severity ratings (critical/high/medium/low), and remediation steps.
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.
- 11d ago Changed aaa2502e0563
- 2mo ago First seen · 19 lines · 12 tokens per session scan A 834202c30adf
security-reviewer is an agent published in the GitHub repository eiler2005/ai-tab-optimizer (3 stars, last pushed 11d ago), licensed MIT. It adds 12 tokens to every session and 192 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.
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