Individual skill
review-security
Review application and infrastructure changes for exploitable security risks by tracing assets, trust boundaries, attacker-controlled input, authorization, sensitive data, and dangerous sinks. Use for security reviews, threat-focused PR reviews, authentication or authorization changes, input handling, secrets, dependencies, and infrastructure permissions; do not use to exploit live systems or modify code unless separately requested.
skills/review-security/SKILL.md
Source commit 19a42f4c42019fa2ccefa3de6af56133b875b3e8
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 4, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 20
- Repository last updated
- Nov 6, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- codex Repository topic
- codex-cli Repository topic
- developer-tools Repository topic
- openai Repository topic
- agentic-workflows Repository topic
- code-review Repository topic
- coding-agents Repository topic
- devops Repository topic
- openai-codex Repository topic
- security Derived category
- data Derived category
- devops Derived category
Files and excerpt
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SKILL.mdcore · 2,404 bytesagents/openai.yamlasset · 232 bytesreferences/threat-checklist.mddoc · 2,485 bytes
Read excerpt
# Review Security
## Workflow
1. Establish the review target, intended behavior, and relevant threat model.
2. Identify assets, trust boundaries, actors, entry points, and sensitive operations.
3. Trace attacker-controlled data to security-relevant sinks.
4. Inspect authentication, authorization, tenant isolation, and privilege changes.
5. Evaluate realistic exploitability and existing controls.
6. Validate suspected findings safely with read-only analysis or sandboxed tests when authorized.
7. Return prioritized findings with evidence, impact, prerequisites, and remediation direction.
## Guardrails
