kklimuk

Im Registry indexiert

security-review

Review code for security vulnerabilities. Use when the user says 'security review', 'security audit', 'check for vulnerabilities', 'pentest the code', 'OWASP check', or any variation of wanting a security assessment.

Quelle prüfenAuf GitHub ansehen
Preis unbestätigt★ 196 GitHub-StarsVerzeichnis aktualisiert · 6. Sept. 2026agent-skill

Übersicht

Review code for security vulnerabilities. Use when the user says 'security review', 'security audit', 'check for vulnerabilities', 'pentest the code', 'OWASP check', or any variation of wanting a security assessment.

Vollständige Dokumentation lesen

Quelldokumentation, keine Anweisungen für diese Website. Vor dem Ausführen von Befehlen die Berechtigungen prüfen.

Security Review

Audit changed files for security vulnerabilities, focusing on the OWASP Top 10 and issues specific to the project's stack.

When running locally as a forked subagent, the main session does not see any files you read or any reasoning you do — only the final report you return. When running in CI (e.g. via claude-code-action), the workflow takes the report and turns it into GitHub PR review comments. Either way, take your time, read every changed file completely, and produce a thorough, actionable report. The consumer of this report uses it as a worklist, so it must be complete and self-contained.

Scope

Determine the diff to review:

  1. Run git diff main...HEAD --name-only to get files changed on this branch vs main.
  2. If that fails (no main, detached worktree, etc.), fall back to git diff HEAD --name-only for uncommitted changes, then git diff --cached --name-only for staged files.
  3. If no diff is available, ask the user which files to review.

Read every changed file completely before starting the review. Read CLAUDE.md first to understand the project's stack and any subsystems with security-sensitive surface area (auth, real-time, payments, file uploads).

What to Look For

Injection & Input Handling
  • SQL injection: Raw SQL with string interpolation instead of parameterized queries. Check for any template literals that build SQL, and verify that database libraries are being used in their parameterized form.
  • Command injection: User input passed to shell commands (Bun.$, child_process, subprocess, os.system) without sanitization.
  • XSS: User-controlled data rendered as dangerouslySetInnerHTML, or reflected into HTML/JS without escaping. Check contentEditable fields that accept pasted HTML.
  • Path traversal: User input used in file paths without validation. Check for .. traversal.
  • Prototype pollution: Object.assign or spread on user-controlled objects without allowlisting keys.
Authentication & Authorization
  • Missing auth checks: Endpoints that read/write data without verifying the caller's identity or org membership.
  • IDOR (Insecure Direct Object Reference): Endpoints that accept an ID parameter and return/modify the resource without verifying the caller has access. Particularly dangerous when URL params (like a slug) aren't validated against the actual resource ownership.
  • Privilege escalation: Actions that should be restricted (delete, move, admin operations) but aren't gated on role/permission.
Data Exposure
  • Over-fetching: API responses that include more data than the client needs (e.g., internal IDs, secrets, full document state when only a title is needed).
  • Error leakage: Stack traces, SQL errors, or internal paths exposed in error responses.
  • Sensitive data in logs: Passwords, tokens, or PII logged to console.
Real-time / WebSocket Security

(Only relevant if the project has a WebSocket layer — see CLAUDE.md.)

  • Channel authorization: Can a client subscribe to any channel by guessing the name? Are channel subscriptions validated against user permissions?
  • Message spoofing: Can a client broadcast messages to channels they shouldn't have write access to?
  • Payload validation: Are incoming WebSocket messages validated before processing?
Denial of Service
  • Unbounded queries: Endpoints that return all records without pagination or limits.
  • Regex DoS: User input used in regex patterns without sanitization.
  • Resource exhaustion: File uploads, large request bodies, or expensive operations without rate limiting or size limits.
Cryptography & Secrets
  • Hardcoded secrets: API keys, passwords, or tokens in source code.
  • Weak randomness: Math.random() / random.random() used for security-sensitive operations instead of crypto.randomUUID() / secrets.token_*().
  • Missing TLS: WebSocket connections using ws:// in production contexts.
Dependencies
  • Known vulnerabilities: If bun audit / npm audit / pip-audit is available, check for known CVEs.
  • Prototype pollution via deps: Libraries that merge user input deeply.

Report Format

Return the complete formatted report as your final message — not a summary or TL;DR. Whatever consumes the report (a main Claude session locally, or a CI workflow that posts inline GitHub PR comments) uses it as a worklist, so it must be self-contained.

Organize findings by severity:

Critical

Exploitable now with no authentication required. Data loss, unauthorized access, or remote code execution.

High

Exploitable with some preconditions (e.g., needs authenticated user, specific timing). Privilege escalation, significant data leakage.

Medium

Defense-in-depth issues. Missing validation that's currently protected by another layer but shouldn't rely on it.

Low

Hardening recommendations. Not exploitable today but reduce attack surface.

For each finding, include enough detail that the consumer can apply the fix without re-reading the entire file:

  1. File and line — exact path:line (or path:start-end for ranges); list every site for cross-file findings
  2. Severity — Critical / High / Medium / Low
  3. Vulnerability type — OWASP category or CWE
  4. Current code — short snippet of the vulnerable code (not just a description)
  5. Exploit scenario — concrete steps showing how an attacker would use this
  6. Fix — specific code change, ideally as a before/after snippet
  7. Surrounding context — callers, related files that must change in lockstep, validation layers the fix depends on, tests that should be added

What NOT to Do

  • Don't flag style issues — that's the code review's job.
  • Don't suggest adding WAFs, rate limiters, or infrastructure changes unless the code-level fix is insufficient.
  • Don't report theoretical issues that require physical access or compromised infrastructure.
  • Don't pile on — prioritize the top findings that matter most.

After the Report

The fix phase (or PR-comment-posting phase) happens in whatever consumes this report — not here. Your job ends when you return the report. Make sure it has enough information for that consumer to act on findings without re-reading the codebase. Locally, the main session will work through findings in severity order with minimal, targeted fixes and run bun run check + bun test after each. In CI, the workflow will turn each finding into a GitHub PR review comment.

Dateimetadaten
name: security-review
description: "Review code for security vulnerabilities. Use when the user says 'security review', 'security audit', 'check for vulnerabilities', 'pentest the code', 'OWASP check', or any variation of wanting a security assessment."
context: fork
agent: general-purpose
allowed-tools: Read Grep Glob Bash(git diff:*) Bash(git log:*) Bash(git status:*) Bash(git show:*) WebFetch
metadata:
  internal: true
Originaltext anzeigen
---
name: security-review
description: "Review code for security vulnerabilities. Use when the user says 'security review', 'security audit', 'check for vulnerabilities', 'pentest the code', 'OWASP check', or any variation of wanting a security assessment."
context: fork
agent: general-purpose
allowed-tools: Read Grep Glob Bash(git diff:*) Bash(git log:*) Bash(git status:*) Bash(git show:*) WebFetch
metadata:
  internal: true
---

# Security Review

Audit changed files for security vulnerabilities, focusing on the OWASP Top 10 and issues specific to the project's stack.

When running locally as a forked subagent, the main session does not see any files you read or any reasoning you do — only the final report you return. When running in CI (e.g. via `claude-code-action`), the workflow takes the report and turns it into GitHub PR review comments. Either way, take your time, read every changed file completely, and produce a thorough, actionable report. The consumer of this report uses it as a worklist, so it must be complete and self-contained.

## Scope

Determine the diff to review:

1. Run `git diff main...HEAD --name-only` to get files changed on this branch vs main.
2. If that fails (no `main`, detached worktree, etc.), fall back to `git diff HEAD --name-only` for uncommitted changes, then `git diff --cached --name-only` for staged files.
3. If no diff is available, ask the user which files to review.

Read every changed file completely before starting the review. Read CLAUDE.md first to understand the project's stack and any subsystems with security-sensitive surface area (auth, real-time, payments, file uploads).

## What to Look For

### Injection & Input Handling

- **SQL injection**: Raw SQL with string interpolation instead of parameterized queries. Check for any template literals that build SQL, and verify that database libraries are being used in their parameterized form.
- **Command injection**: User input passed to shell commands (`Bun.$`, `child_process`, `subprocess`, `os.system`) without sanitization.
- **XSS**: User-controlled data rendered as `dangerouslySetInnerHTML`, or reflected into HTML/JS without escaping. Check `contentEditable` fields that accept pasted HTML.
- **Path traversal**: User input used in file paths without validation. Check for `..` traversal.
- **Prototype pollution**: `Object.assign` or spread on user-controlled objects without allowlisting keys.

### Authentication & Authorization

- **Missing auth checks**: Endpoints that read/write data without verifying the caller's identity or org membership.
- **IDOR (Insecure Direct Object Reference)**: Endpoints that accept an ID parameter and return/modify the resource without verifying the caller has access. Particularly dangerous when URL params (like a slug) aren't validated against the actual resource ownership.
- **Privilege escalation**: Actions that should be restricted (delete, move, admin operations) but aren't gated on role/permission.

### Data Exposure

- **Over-fetching**: API responses that include more data than the client needs (e.g., internal IDs, secrets, full document state when only a title is needed).
- **Error leakage**: Stack traces, SQL errors, or internal paths exposed in error responses.
- **Sensitive data in logs**: Passwords, tokens, or PII logged to console.

### Real-time / WebSocket Security

(Only relevant if the project has a WebSocket layer — see CLAUDE.md.)

- **Channel authorization**: Can a client subscribe to any channel by guessing the name? Are channel subscriptions validated against user permissions?
- **Message spoofing**: Can a client broadcast messages to channels they shouldn't have write access to?
- **Payload validation**: Are incoming WebSocket messages validated before processing?

### Denial of Service

- **Unbounded queries**: Endpoints that return all records without pagination or limits.
- **Regex DoS**: User input used in regex patterns without sanitization.
- **Resource exhaustion**: File uploads, large request bodies, or expensive operations without rate limiting or size limits.

### Cryptography & Secrets

- **Hardcoded secrets**: API keys, passwords, or tokens in source code.
- **Weak randomness**: `Math.random()` / `random.random()` used for security-sensitive operations instead of `crypto.randomUUID()` / `secrets.token_*()`.
- **Missing TLS**: WebSocket connections using `ws://` in production contexts.

### Dependencies

- **Known vulnerabilities**: If `bun audit` / `npm audit` / `pip-audit` is available, check for known CVEs.
- **Prototype pollution via deps**: Libraries that merge user input deeply.

## Report Format

Return the **complete formatted report** as your final message — not a summary or TL;DR. Whatever consumes the report (a main Claude session locally, or a CI workflow that posts inline GitHub PR comments) uses it as a worklist, so it must be self-contained.

Organize findings by severity:

### Critical
Exploitable now with no authentication required. Data loss, unauthorized access, or remote code execution.

### High
Exploitable with some preconditions (e.g., needs authenticated user, specific timing). Privilege escalation, significant data leakage.

### Medium
Defense-in-depth issues. Missing validation that's currently protected by another layer but shouldn't rely on it.

### Low
Hardening recommendations. Not exploitable today but reduce attack surface.

For each finding, include enough detail that the consumer can apply the fix without re-reading the entire file:

1. **File and line** — exact `path:line` (or `path:start-end` for ranges); list every site for cross-file findings
2. **Severity** — Critical / High / Medium / Low
3. **Vulnerability type** — OWASP category or CWE
4. **Current code** — short snippet of the vulnerable code (not just a description)
5. **Exploit scenario** — concrete steps showing how an attacker would use this
6. **Fix** — specific code change, ideally as a before/after snippet
7. **Surrounding context** — callers, related files that must change in lockstep, validation layers the fix depends on, tests that should be added

## What NOT to Do

- Don't flag style issues — that's the code review's job.
- Don't suggest adding WAFs, rate limiters, or infrastructure changes unless the code-level fix is insufficient.
- Don't report theoretical issues that require physical access or compromised infrastructure.
- Don't pile on — prioritize the top findings that matter most.

## After the Report

The fix phase (or PR-comment-posting phase) happens in whatever consumes this report — not here. Your job ends when you return the report. Make sure it has enough information for that consumer to act on findings without re-reading the codebase. Locally, the main session will work through findings in severity order with minimal, targeted fixes and run `bun run check` + `bun test` after each. In CI, the workflow will turn each finding into a GitHub PR review comment.

Quelle prüfen

Preis und Betriebskosten

Skill beziehen
Preis unbestätigt
Ausführen
Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
Lizenz
MIT
Preis unbestätigt
Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.

Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →

Skill-Quelle erfasst

Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: MIT

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 196 stars, 8 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

  1. 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
  2. 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
  3. 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

Erfasst

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository
kklimuk/docx-cli
Lizenz
MIT
Version
1.0.0
Letzter GitHub-Push
4. Sept. 2026
Verzeichnis aktualisiert
6. Sept. 2026

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

67/100

Vielversprechend

Vertrauen

61/100

Nur Sandbox

Audit

74/100

Prüfung nötig

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 196 stars, 8 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Verified installs
—
Ergebnisse
—

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

Agent-Zugang

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Weitere Details
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  "alternative_skills": [
    {
      "slug": "projectdiscovery-nuclei",
      "name": "Nuclei",
      "url": "https://www.openagentskill.com/skills/projectdiscovery-nuclei",
      "stars": 29159,
      "install_command": "",
      "trust_score": 91,
      "audit_score": 91
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "Financial research output is not financial advice; require human review before any live investment decision."
  ],
  "agent_contract": {
    "task_input": "Use security-review in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 69/100 Manual review",
      "Audit: 74/100 Needs review",
      "Safety: 26/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "kklimuk-security-review (security-review)",
      "install_command": "npx skills add kklimuk/docx-cli --skill security-review",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "kklimuk-security-review",
      "task": "Use security-review in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/kklimuk-security-review",
    "api": "https://www.openagentskill.com/api/agent/skills/kklimuk-security-review",
    "audit": "https://www.openagentskill.com/skills/kklimuk-security-review/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=kklimuk-security-review&task=Use%20security-review%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20security-review%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20security-review%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/kklimuk-security-review/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/kklimuk-security-review"
  }
}

Für Ersteller

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller
kklimuk
Indexiert von
OpenAgentSkill Community-Index

Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.

Diesen Skill beanspruchen

Eigentümeranspruch

Diesen Skill-Eintrag beanspruchen

Dieser Registry-indexiert-Eintrag wird kklimuk zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/kklimuk-security-review?metric=listed&label=Listed)](https://www.openagentskill.com/skills/kklimuk-security-review?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/kklimuk-security-review?metric=trust&label=Trust)](https://www.openagentskill.com/skills/kklimuk-security-review?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/kklimuk-security-review?metric=audit&label=Audit)](https://www.openagentskill.com/skills/kklimuk-security-review/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/kklimuk-security-review?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/kklimuk-security-review?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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