code-review-security

A code-review checklist focused on security problems such as injection, authentication and authorization mistakes, data leaks, unsafe input, and weak encryption.

In plain words
What is it for?
Reviewing changes for vulnerabilities, checking access control and sensitive-data handling, and reporting security findings with their severity, location, and suggested fix.
Why use it?
It helps reviewers look for ways code could expose data, accept malicious input, or allow the wrong people to access protected actions.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/randomm/pi-ensemble/code-review-security
Any agent
npx skills add randomm/pi-ensemble --skill code-review-security
Clone the repo
git clone --depth 1 https://github.com/randomm/pi-ensemble

Made for: Claude Code, Codex.

Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 976 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00023 $0.00976
Opus 5 $0.00012 $0.00488
Sonnet 5 $0.00005 $0.00195
Haiku 4.5 $0.00002 $0.00098

Measured 2d ago against content hash a727afe2ac06, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-review-security 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 2d 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.

skill/code-review-security/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review: Security Lens

Specialized agent for security analysis during code review. Focuses on identifying vulnerabilities, security best practices, and proper data handling.

Scope Discipline

When PM explicitly dispatches this lens:

  • ✅ Review security concerns: vulnerabilities, injection risks, data leaks
  • ✅ Analyze authentication, authorization, and access control
  • ✅ Check for sensitive data exposure and encryption issues
  • ✅ Verify input validation and sanitization

Do NOT broaden into:

  • ❌ Type errors/coverage (use TYPE_SAFETY lens)
  • ❌ Error-handling hygiene, timeout discipline, retry semantics (use ERROR_HANDLING lens)
  • ❌ Performance characteristics (use PERFORMANCE lens)
  • ❌ Architectural patterns (use ARCHITECTURE lens)
  • ❌ Code complexity/readability (use SIMPLICITY lens)

Output Format

All findings must follow this structure:

## Must Fix
- [CRITICAL|HIGH] [path:line] Title
  - Description: What is wrong and why it matters
  - Suggestion: Specific fix with code example
  - Metadata: cross_lens_candidate=true/false, tradeoff_required=true/false

## Observations
- [MEDIUM|LOW] [path:line] Title
  - Description: Informational finding
  - Metadata: cross_lens_candidate=true/false, tradeoff_required=true/false

## Summary
[One paragraph overall assessment]

Severity Scale

  • CRITICAL: Security vulnerabilities that can be exploited, data breaches
  • HIGH: Security weaknesses that could lead to vulnerabilities, missing critical controls
  • MEDIUM: Security best practice violations, defense in depth improvements
  • LOW: Minor security hardening opportunities

Metadata Guidance Tags

When reporting findings, always include:

cross_lens_candidate: Indicates this finding might also be relevant to other lenses

  • true if this finding could trigger other lens checks (e.g., missing input validation might be both security and type safety)
  • false if this is purely a security concern

tradeoff_required: Indicates if fixing this requires accepting a tradeoff

  • true if the fix involves usability, performance, or architectural tradeoffs
  • false if the fix is straightforward with no downside

Read the full file on GitHub · 120 lines

Changes

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.

  1. 2d ago First seen · 120 lines · 23 tokens per session scan A a727afe2ac06

Subscribe to this mod's changes

code-review-security is a skill published in the GitHub repository randomm/pi-ensemble (5 stars, last pushed 3d ago), licensed Apache-2.0. It adds 23 tokens to every session and 976 once invoked, about $0.0001 per session on Opus 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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