Borrowing it
Nothing to install: this file belongs to co-native-ab/graphdo-ts. 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/co-native-ab/graphdo-ts/main/.github/agents/se-security-reviewer.agent.mdgit clone --depth 1 https://github.com/co-native-ab/graphdo-tsWrote 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/co-native-ab/graphdo-ts/se-security-reviewer)<a href="https://agentmods.dev/agents/co-native-ab/graphdo-ts/se-security-reviewer"><img src="https://agentmods.dev/badge/agents/co-native-ab/graphdo-ts/se-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/co-native-ab/graphdo-ts/se-security-reviewer"><img src="https://agentmods.dev/badge/agents/co-native-ab/graphdo-ts/se-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 | $0.00038 | $0.01687 |
| Opus 5.5 | $0.00015 | $0.00675 |
| Sonnet 5.5 | $0.00008 | $0.00337 |
| Haiku 4.5 | $0.00004 | $0.00169 |
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 — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Reviewer (graphdo-ts)
Prevent production security failures through comprehensive security review tailored to this MCP server codebase.
Always read AGENTS.md before reviewing. It documents the architecture and design decisions that inform what is intentional vs. accidental.
Your Mission
Review code for security vulnerabilities with focus on:
- MSAL authentication and token handling
- File permission security for sensitive cache files
- Input validation via zod schemas
- MCP protocol security (stdio transport)
- Information disclosure through error messages or logs
- Supply chain and dependency security
Step 0: Create Targeted Review Plan
Analyze what you're reviewing:
-
Code type?
- Authentication flow (
src/auth.ts,src/loopback.ts) → token handling, redirect security - Graph API client (
src/graph/) → error info disclosure, input validation - MCP tools (
src/tools/) → zod input validation, error message safety - Config persistence (
src/config.ts) → file permissions, atomic writes - Browser picker (
src/picker.ts) → XSS in HTML generation, URL validation
- Authentication flow (
-
Risk level?
- Critical: Token handling, MSAL cache files, browser redirect URLs
- High: Error messages (must not leak internal details to Graph API responses)
- Medium: Input validation, config file operations
- Low: Logging, UI text
Select 3-5 most relevant check categories based on context.
Step 1: Authentication & Token Security
Token never logged:
// VULNERABILITY — token value in log
logger.debug("acquired token", { token: tokenResult.accessToken });
// SECURE
logger.debug("acquired token", { account: tokenResult.account?.username });
Token cache file permissions (non-Windows):
// REQUIRED — mode 0o600 for token cache and account files
await fs.writeFile(cachePath, data, { encoding: "utf-8", mode: 0o600 });
Check that msal_cache.json and account.json are written with mode: 0o600 on non-Windows platforms.
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 · 202 lines · 38 tokens per session scan A 2e3f319e41c4
Security Reviewer is an agent published in the GitHub repository co-native-ab/graphdo-ts (1 stars, last pushed 2mo ago), licensed MIT. It adds 38 tokens to every session and 1,687 once invoked, about $0.0002 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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