Agent skill

Owasp Reviewer Prompt

by aozyildirim in aozyildirim/Agena

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 /…

MITAuto-check passedSecurity

Install Owasp Reviewer Prompt

skills CLI
$ npx skills add aozyildirim/Agena --skill owasp-reviewer-prompt -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aozyildirim/Agena owasp-reviewer-prompt --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aozyildirim/Agena.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agena/owasp-reviewer-prompt .claude/skills/owasp-reviewer-prompt && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
owasp-reviewer-prompt
GitHub stars
103
Token cost
~978 tokens
SKILL.md length
280 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

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 /…

  • Tasks that involve Web application vulnerabilities
  • SKILL.md covers The prompt, OWASP Top 10 quick reference…, Sample output and Notes
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Owasp Reviewer Prompt is an agent skill from aozyildirim/Agena. 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.

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Security, covering Web application vulnerabilities. The repository describes itself as: Agentic AI platform with pixel agent technology — autonomous code generation, PR automation & multi-tenant SaaS. The licence is MIT.

When your agent uses it

  • Tasks that involve Web application vulnerabilities

Example prompts

  • “/owasp-reviewer-prompt”

What it can do on your machine

Read from SKILL.md and the folder at commit c4c92f8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Owasp Reviewer Prompt loads about 978 tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 280 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~978

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aozyildirim/Agena at commit c4c92f8, republished under its MIT licence (© aozyildirim). 280 words, ~978 tokens.

Download SKILL.mdSave it as .claude/skills/owasp-reviewer-prompt/SKILL.md (or your agent's skills folder).
name
owasp-reviewer-prompt
description
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.
tags
code-review, security, owasp, ai-agent, prompt-engineering
publisher
agena

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.

© aozyildirim, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/agena/owasp-reviewer-prompt of aozyildirim/Agena.

Open the folder on GitHubat commit c4c92f8

Compare with similar skills

Owasp Reviewer Prompt next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Owasp Reviewer Prompt compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Owasp Reviewer Prompt this skillaozyildirim/Agena103—~978Automated safety check: PassMIT
Security And Hardeningpenpot/penpot61k6 repos~4.7kAutomated safety check: NotesMPL-2.0
Security Auditoreigent-ai/eigent15k—~1.8kAutomated safety check: NotesApache-2.0
Security Reviewjewbetcha/opentrace11618 repos~3.1kAutomated safety check: NotesMIT
Strix Code Vulnerability Scanusestrix/strix68k—~1.1kAutomated safety check: PassApache-2.0
Code Audit3stoneBrother/code-audit8921 repos~2.7kAutomated safety check: PassNone

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Categories

Questions about Owasp Reviewer Prompt

What does Owasp Reviewer Prompt do?

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 /…. Owasp Reviewer Prompt is an agent skill from aozyildirim/Agena. 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.

When should I use Owasp Reviewer Prompt?

Owasp Reviewer Prompt fits situations like: tasks that involve Web application vulnerabilities.

How do I install Owasp Reviewer Prompt in Claude Code?

Run `npx skills add aozyildirim/Agena --skill owasp-reviewer-prompt -a claude-code`. Or copy the skill folder (skills/agena/owasp-reviewer-prompt in aozyildirim/Agena) into .claude/skills/owasp-reviewer-prompt in your project. Claude Code loads it when a task matches its description.

How do I install Owasp Reviewer Prompt in Codex?

Run `npx skills add aozyildirim/Agena --skill owasp-reviewer-prompt -a codex`. Or copy the skill folder (skills/agena/owasp-reviewer-prompt in aozyildirim/Agena) into .agents/skills/owasp-reviewer-prompt in your project. Codex loads it when a task matches its description.

Can I use Owasp Reviewer Prompt in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aozyildirim/Agena --skill owasp-reviewer-prompt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/owasp-reviewer-prompt, .gemini/skills/owasp-reviewer-prompt, .github/skills/owasp-reviewer-prompt and .opencode/skills/owasp-reviewer-prompt in your project.

What does Owasp Reviewer Prompt need to run?

SKILL.md names no scripts, command-line tools or credentials: Owasp Reviewer Prompt is instructions for the agent only.

Does Owasp Reviewer Prompt access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Owasp Reviewer Prompt safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Owasp Reviewer Prompt use?

Owasp Reviewer Prompt is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Owasp Reviewer Prompt use?

About 978 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Owasp Reviewer Prompt?

Skills that share tags, products or a category with Owasp Reviewer Prompt: Security And Hardening (penpot/penpot, 61k stars), Security Auditor (eigent-ai/eigent, 15k stars), Security Review (jewbetcha/opentrace, 116 stars) and Strix Code Vulnerability Scan (usestrix/strix, 68k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Owasp Reviewer Prompt?

aozyildirim (a GitHub user) maintains it in aozyildirim/Agena, which has 103 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 9, 2026.

Source: aozyildirim/Agena on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.