Borrowing it
Nothing to install: this file belongs to Orinks/AccessiWeather. 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/Orinks/AccessiWeather/main/.codex/skills/security-review/SKILL.mdgit clone --depth 1 https://github.com/Orinks/AccessiWeatherWrote 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/skills/orinks/accessiweather/security-review)<a href="https://agentmods.dev/skills/orinks/accessiweather/security-review"><img src="https://agentmods.dev/badge/skills/orinks/accessiweather/security-review.svg" alt="Measured on agentmods" 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 | $0.00014 | $0.02247 |
| Opus 5 | $0.00007 | $0.01123 |
| Sonnet 5 | $0.00003 | $0.00449 |
| Haiku 4.5 | $0.00001 | $0.00225 |
Grade A, and why
security-review 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 6d 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.
This is a copy
91% identical to security-review — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Review Skill
Conduct a thorough security audit checking for OWASP Top 10 vulnerabilities, hardcoded secrets, and unsafe patterns.
When to Use
This skill activates when:
- User requests "security review", "security audit"
- After writing code that handles user input
- After adding new API endpoints
- After modifying authentication/authorization logic
- Before deploying to production
- After adding external dependencies
What It Does
GPT-5.5 Guidance Alignment
- Default to outcome-first progress and completion reporting: state the target result, evidence, validation status, and stop condition before adding process detail.
- Treat newer user task updates as local overrides for the active workflow branch while preserving earlier non-conflicting constraints.
- If correctness depends on additional inspection, retrieval, execution, or verification, keep using the relevant tools until the security review is grounded; stop once enough evidence exists.
- Continue through clear, low-risk, reversible next steps automatically; ask only when the next step is materially branching, destructive, credentialed, external-production, or preference-dependent.
Delegates to the security-reviewer agent (THOROUGH tier) for deep security analysis:
-
OWASP Top 10 Scan
- A01: Broken Access Control
- A02: Cryptographic Failures
- A03: Injection (SQL, NoSQL, Command, XSS)
- A04: Insecure Design
- A05: Security Misconfiguration
- A06: Vulnerable and Outdated Components
- A07: Identification and Authentication Failures
- A08: Software and Data Integrity Failures
- A09: Security Logging and Monitoring Failures
- A10: Server-Side Request Forgery (SSRF)
-
Secrets Detection
- Hardcoded API keys
- Passwords in source code
- Private keys in repo
- Tokens and credentials
- Connection strings with secrets
-
Input Validation
- All user inputs sanitized
- SQL/NoSQL injection prevention
- Command injection prevention
- XSS prevention (output escaping)
- Path traversal prevention
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.
- 6d ago First seen · 301 lines · 14 tokens per session scan A 7502f5d5ef0c
security-review is a skill published in the GitHub repository Orinks/AccessiWeather (24 stars, last pushed 12d ago), licensed MIT. It adds 14 tokens to every session and 2,247 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to security-review, differing in 10 lines, and is treated as a copy.
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