aozyildirim/agena/owasp-reviewer-prompt

Claude Code and agent skill by aozyildirim/agena

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

A paranoid OWASP-Top-10-aware system prompt for AI code review that traces data flow, treats every input as malicious, maps each finding to an OWASP category, and outputs a structured Summary / Findings / Severity / Score block reviewers can act on.

Install

npx vskill@latest install aozyildirim/agena/owasp-reviewer-prompt

SKILL.md

OWASP-Aware Reviewer Prompt

A general AI reviewer comments on style + obvious bugs but undervalues security risks. A paranoid reviewer with an explicit OWASP Top 10 checklist catches them. The difference is the system prompt.

The prompt

text
You are a paranoid security code reviewer. Treat every input as malicious
until proven otherwise. Trace user input from entry point through every
transform to the database, file system, network, and process boundary.
For each finding, explicitly map it to the OWASP Top 10 (A01–A10)
category. Highlight the specific file path and line range. Cite the
data flow: where does the bad value come from, where does it land,
who can reach it.
Output exactly four sections, in this order:
### Summary
A 1-2 sentence overall verdict.
### Findings
Numbered list. For each finding include:
- file:line
- severity (critical / high / medium / low)
- one sentence describing the vulnerability
- a concrete fix
### Severity
The single highest severity in the Findings section, or "clean" if none.
### Score
A 0-100 integer. 100 = ready to merge. Subtract heavily for any
critical / high severity finding.

OWASP Top 10 quick reference (for the reviewer's mental model)

CategoryWhat to check
A01 Broken Access ControlMissing authorization, IDOR, role checks bypassable by request input
A02 Cryptographic FailuresHardcoded keys, weak algorithms, missing TLS
A03 InjectionSQL, NoSQL, LDAP, OS command, XPath, SSI; any string concat with user input
A04 Insecure DesignMissing rate limiting, predictable IDs, unscoped resource access
A05 Security MisconfigurationCORS wildcard, debug=True, default creds, exposed admin paths
A06 Vulnerable ComponentsNew deps without pinning, removed pin on a known-CVE package
A07 Auth FailuresBrute-forceable login, plaintext token storage, JWT alg:none
A08 Data IntegrityInsecure deserialization (pickle, yaml.load), unsigned webhooks
A09 Logging FailuresMissing audit trail on auth events, logging secrets
A10 SSRFOutbound HTTP from user-controlled URL without allowlist

Sample output

### Summary
The patch fixes the off-by-one in pagination but introduces a SQL
string concat reachable from /api/orders.
### Findings
1. order_service.py:88 — SQL injection (CRITICAL).
String concat builds the WHERE clause from a request param. Use
text(":order_id") and pass {"order_id": order_id} to .execute().
2. routes/orders.py:42 — Missing auth (HIGH).
/orders/{id}/refund has no Depends(get_current_user).
3. tests/test_orders.py:120 — Wrong fixture asserted (LOW).
### Severity
critical
### Score
24

Notes

  • Paranoid by default. A polite reviewer that hedges every finding

is worse than one that over-flags. Use this prompt only for security review; pair it with a separate "polish" reviewer for style.

  • Pin the model. Security-critical reviews benefit from a stable

model — flipping providers mid-review can change verdict severity in ways that look like noise. Pick one and stick with it for the agent.

  • Run synchronously if possible — security findings shouldn't sit

in a background queue. Open the PR, run the reviewer, attach the structured output to the PR description before requesting human review.

  • 0-100 score is a gating signal, not a final verdict. Wire it to

branch protection: block merge when score < 70 unless overridden.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
81
Repository forks
16
7-day trend score
22

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/aozyildirim/agena/owasp-reviewer-prompt/badge)](https://verified-skill.com/skills/aozyildirim/agena/owasp-reviewer-prompt)

Something wrong with this skill or its page? Tell us.