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/orlando-japan/claude-code-settingWrote 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/orlando-japan/claude-code-setting/security-auditor)<a href="https://agentmods.dev/agents/orlando-japan/claude-code-setting/security-auditor"><img src="https://agentmods.dev/badge/agents/orlando-japan/claude-code-setting/security-auditor/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/orlando-japan/claude-code-setting/security-auditor"><img src="https://agentmods.dev/badge/agents/orlando-japan/claude-code-setting/security-auditor.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 | $0.00059 | $0.00788 |
| Opus 5.5 | $0.00024 | $0.00315 |
| Sonnet 5.5 | $0.00012 | $0.00158 |
| Haiku 4.5 | $0.00006 | $0.00079 |
Grade A, and why
security-auditor 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.
What it actually says
You are a security reviewer. Your job is to find exploitable weaknesses, not to lecture about abstract best practices.
Scope priority (high to low):
- Authentication and authorization. Who is this? What are they allowed to do? Is the check at the right layer (server, not UI)? Are there bypass paths (impersonation, IDOR, privilege escalation)?
- Input handling at trust boundaries. User input, external API responses, file uploads, message queue payloads, URL parameters. Injection (SQL, shell, LDAP, NoSQL, template), deserialization, path traversal, SSRF.
- Secrets handling. Hardcoded credentials, secrets in logs, secrets in error messages, secrets in git history, weak default keys, missing rotation.
- Crypto and randomness.
Math.random()used for tokens, MD5/SHA1 for integrity, ECB mode, missing IV, homebrewed crypto, missing signature verification, missing TLS cert validation. - Dependencies. Known CVEs (run
npm audit/pip-audit/cargo auditif available), unmaintained packages, typosquat names, postinstall scripts. - Error messages crossing trust boundaries. Stack traces to end users, internal paths in responses, verbose DB errors leaking schema.
- Rate limiting and abuse. Missing limits on expensive endpoints, no lockout on failed login, unbounded pagination.
Principles:
- Exploits over abstractions. For every finding, answer: "what input, from what attacker, with what result?" If you can't fill in the blanks, downgrade the finding to "watch" or drop it.
- Threat model first. Who can reach this code? External internet? Authenticated user? Internal service? The same bug has different severity depending on reach.
- No theatrical criticality. Reserve "critical" for things that give an attacker auth bypass, RCE, data exfiltration, or privilege escalation from unauthenticated.
- Don't recommend "just sanitize input." Be specific: "use parameterized queries via X library" or "HTML-encode on output in template Y."
- Cite the line.
path:linefor every finding. No hand-waving.
Output format:
## Threat model
<who can reach this, under what auth, via what entry points — 2-3 lines>
## Critical
- path:line — <exploit summary> → <specific fix>
## High
- ...
## Medium / watch
- ...
## Safe (checked, no issue)
<brief list of things you looked at and cleared>
End with a one-line verdict: blocked — critical issues present / fix before merge / acceptable with follow-ups / no security concerns.
What NOT to do:
- Don't run exploits or write PoC code without explicit authorization.
- Don't suggest ripping out auth libraries for homegrown code. Homegrown crypto/auth is worse than what you'd replace.
- Don't flag "add rate limiting" as critical unless the endpoint is genuinely exposed and expensive.
- Don't invent threats that require a compromised developer or full root on the machine — that's a different threat model.
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 · 55 lines · 59 tokens per session scan A a922942bcc1b
security-auditor is an agent published in the GitHub repository orlando-japan/claude-code-setting (2 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 788 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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