security-review تایید شده

AI-powered codebase security scanner that reasons about code like a security researcher — tracing data flows, understanding component interactions, and catching vulnerabilities that pattern-matching tools miss. Use this skill when asked to scan code for security vulnerabilities, find bugs, check for SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, access control issues, or any request like "is my code secure?", "review for security issues", "audit this codebase", or "check for vulnerabilities". Covers injection flaws, authentication and access control bugs, secrets exposure, weak cryptography, insecure dependencies, and business logic issues across JavaScript, TypeScript, Python, Java, PHP, Go, Ruby, and Rust.

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// نصب مهارت

نصب مهارت

مهارت‌ها کدهای شخص ثالث از مخازن عمومی GitHub هستند. SkillHub الگوهای مخرب شناخته‌شده را اسکن می‌کند اما نمی‌تواند امنیت را تضمین کند. قبل از نصب، کد منبع را بررسی کنید.

نصب سراسری (سطح کاربر):

npx skillhub install github/awesome-copilot/security-review

نصب در پروژه فعلی:

npx skillhub install github/awesome-copilot/security-review --project

skill.install.customTargetHelp

npx skillhub install github/awesome-copilot/security-review --target-dir /path/to/skills

مسیر پیشنهادی: ~/.claude/skills/security-review/

بررسی هوش مصنوعی

88
از ۱۰۰
کیفیت دستورالعمل95
دقت توضیحات90
کاربردی بودن80
صحت فنی80

Scored 89 thanks to a comprehensive 8-step security audit pipeline with self-verification and structured patch proposals. Deep reference files for vuln categories, secret patterns, and language-specific issues provide exceptional progressive disclosure. Minor deduction for missing negative triggers in the description and no explicit cross-platform guidance (though the skill is language-based, not OS-based).

productioncomplexsecurity-engineersbackend-devsfullstack-devsdevopssecurity-auditvulnerability-scanningdependency-checkingsecret-detection
بررسی‌شده توسط review-skill-gateway(z-ai/glm-5.2) در تاریخ ۱۴۰۵/۵/۲

محتوای SKILL.md

---
name: security-review
description: 'AI-powered codebase security scanner that reasons about code like a security researcher — tracing data flows, understanding component interactions, and catching vulnerabilities that pattern-matching tools miss. Use this skill when asked to scan code for security vulnerabilities, find bugs, check for SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, access control issues, or any request like "is my code secure?", "review for security issues", "audit this codebase", or "check for vulnerabilities". Covers injection flaws, authentication and access control bugs, secrets exposure, weak cryptography, insecure dependencies, and business logic issues across JavaScript, TypeScript, Python, Java, PHP, Go, Ruby, and Rust.'
---

# Security Review

An AI-powered security scanner that reasons about your codebase the way a human security
researcher would — tracing data flows, understanding component interactions, and catching
vulnerabilities that pattern-matching tools miss.

## When to Use This Skill

Use this skill when the request involves:

- Scanning a codebase or file for security vulnerabilities
- Running a security review or vulnerability check
- Checking for SQL injection, XSS, command injection, or other injection flaws
- Finding exposed API keys, hardcoded secrets, or credentials in code
- Auditing dependencies for known CVEs
- Reviewing authentication, authorization, or access control logic
- Detecting insecure cryptography or weak randomness
- Performing a data flow analysis to trace user input to dangerous sinks
- Any request phrasing like "is my code secure?", "scan this file", or "check my repo for vulnerabilities"
- Running `/security-review` or `/security-review <path>`

## How This Skill Works

Unlike traditional static analysis tools that match patterns, this skill:
1. **Reads code like a security researcher** — understanding context, intent, and data flow
2. **Traces across files** — following how user input moves through your application
3. **Self-verifies findings** — re-examines each result to filter false positives
4. **Assigns severity ratings** — CRITICAL / HIGH / MEDIUM / LOW / INFO
5. **Proposes targeted patches** — every finding includes a concrete fix
6. **Requires human approval** — nothing is auto-applied; you always review first

## Execution Workflow

Follow these steps **in order** every time:

### Step 1 — Scope Resolution
Determine what to scan:
- If a path was provided (`/security-review src/auth/`), scan only that scope
- If no path given, scan the **entire project** starting from the root
- Identify the language(s) and framework(s) in use (check package.json, requirements.txt,
  go.mod, Cargo.toml, pom.xml, Gemfile, composer.json, etc.)
- Read `references/language-patterns.md` to load language-specific vulnerability patterns

### Step 2 — Dependency Audit
Before scanning source code, audit dependencies first (fast wins):
- **Node.js**: Check `package.json` + `package-lock.json` for known vulnerable packages
- **Python**: Check `requirements.txt` / `pyproject.toml` / `Pipfile`
- **Java**: Check `pom.xml` / `build.gradle`
- **Ruby**: Check `Gemfile.lock`
- **Rust**: Check `Cargo.toml`
- **Go**: Check `go.sum`
- Flag packages with known CVEs, deprecated crypto libs, or suspiciously old pinned versions
- Read `references/vulnerable-packages.md` for a curated watchlist

### Step 3 — Secrets & Exposure Scan
Scan ALL files (including config, env, CI/CD, Dockerfiles, IaC) for:
- Hardcoded API keys, tokens, passwords, private keys
- `.env` files accidentally committed
- Secrets in comments or debug logs
- Cloud credentials (AWS, GCP, Azure, Stripe, Twilio, etc.)
- Database connection strings with credentials embedded
- Read `references/secret-patterns.md` for regex patterns and entropy heuristics to apply

### Step 4 — Vulnerability Deep Scan
This is the core scan. Reason about the code — don't just pattern-match.
Read `references/vuln-categories.md` for full details on each category.

**Injection Flaws**
- SQL Injection: raw queries with string interpolation, ORM misuse, second-order SQLi
- XSS: unescaped output, dangerouslySetInnerHTML, innerHTML, template injection
- Command Injection: exec/spawn/system with user input
- LDAP, XPath, Header, Log injection

**Authentication & Access Control**
- Missing authentication on sensitive endpoints
- Broken object-level authorization (BOLA/IDOR)
- JWT weaknesses (alg:none, weak secrets, no expiry validation)
- Session fixation, missing CSRF protection
- Privilege escalation paths
- Mass assignment / parameter pollution

**Data Handling**
- Sensitive data in logs, error messages, or API responses
- Missing encryption at rest or in transit
- Insecure deserialization
- Path traversal / directory traversal
- XXE (XML External Entity) processing
- SSRF (Server-Side Request Forgery)

**Cryptography**
- Use of MD5, SHA1, DES for security purposes
- Hardcoded IVs or salts
- Weak random number generation (Math.random() for tokens)
- Missing TLS certificate validation

**Business Logic**
- Race conditions (TOCTOU)
- Integer overflow in financial calculations
- Missing rate limiting on sensitive endpoints
- Predictable resource identifiers

### Step 5 — Cross-File Data Flow Analysis
After the per-file scan, perform a **holistic review**:
- Trace user-controlled input from entry points (HTTP params, headers, body, file uploads)
  all the way to sinks (DB queries, exec calls, HTML output, file writes)
- Identify vulnerabilities that only appear when looking at multiple files together
- Check for insecure trust boundaries between services or modules

### Step 6 — Self-Verification Pass
For EACH finding:
1. Re-read the relevant code with fresh eyes
2. Ask: "Is this actually exploitable, or is there sanitization I missed?"
3. Check if a framework or middleware already handles this upstream
4. Downgrade or discard findings that aren't genuine vulnerabilities
5. Assign final severity: CRITICAL / HIGH / MEDIUM / LOW / INFO

### Step 7 — Generate Security Report
Output the full report in the format defined in `references/report-format.md`.

### Step 8 — Propose Patches
For every CRITICAL and HIGH finding, generate a concrete patch:
- Show the vulnerable code (before)
- Show the fixed code (after)
- Explain what changed and why
- Preserve the original code style, variable names, and structure
- Add a comment explaining the fix inline

Explicitly state: **"Review each patch before applying. Nothing has been changed yet."**

## Severity Guide

| Severity | Meaning | Example |
|----------|---------|---------|
| 🔴 CRITICAL | Immediate exploitation risk, data breach likely | SQLi, RCE, auth bypass |
| 🟠 HIGH | Serious vulnerability, exploit path exists | XSS, IDOR, hardcoded secrets |
| 🟡 MEDIUM | Exploitable with conditions or chaining | CSRF, open redirect, weak crypto |
| 🔵 LOW | Best practice violation, low direct risk | Verbose errors, missing headers |
| ⚪ INFO | Observation worth noting, not a vulnerability | Outdated dependency (no CVE) |

## Output Rules

- **Always** produce a findings summary table first (counts by severity)
- **Never** auto-apply any patch — present patches for human review only
- **Always** include a confidence rating per finding (High / Medium / Low)
- **Group findings** by category, not by file
- **Be specific** — include file path, line number, and the exact vulnerable code snippet
- **Explain the risk** in plain English — what could an attacker do with this?
- If the codebase is clean, say so clearly: "No vulnerabilities found" with what was scanned

## Reference Files

For detailed detection guidance, load the following reference files as needed:

- `references/vuln-categories.md` — Deep reference for every vulnerability category with detection signals, safe patterns, and escalation checkers
  - Search patterns: `SQL injection`, `XSS`, `command injection`, `SSRF`, `BOLA`, `IDOR`, `JWT`, `CSRF`, `secrets`, `cryptography`, `race condition`, `path traversal`
- `references/secret-patterns.md` — Regex patterns, entropy-based detection, and CI/CD secret risks
  - Search patterns: `API key`, `token`, `private key`, `connection string`, `entropy`, `.env`, `GitHub Actions`, `Docker`, `Terraform`
- `references/language-patterns.md` — Framework-specific vulnerability patterns for JavaScript, Python, Java, PHP, Go, Ruby, and Rust
  - Search patterns: `Express`, `React`, `Next.js`, `Django`, `Flask`, `FastAPI`, `Spring Boot`, `PHP`, `Go`, `Rails`, `Rust`
- `references/vulnerable-packages.md` — Curated CVE watchlist for npm, pip, Maven, Rubygems, Cargo, and Go modules
  - Search patterns: `lodash`, `axios`, `jsonwebtoken`, `Pillow`, `log4j`, `nokogiri`, `CVE`
- `references/report-format.md` — Structured output template for security reports with finding cards, dependency audit, secrets scan, and patch proposal formatting
  - Search patterns: `report`, `format`, `template`, `finding`, `patch`, `summary`, `confidence`

مجوز

مجوز اعلام‌شده: MIT

MIT License

Copyright (c) 2025 github

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

مشاهدهٔ مجوز در مخزن منبعنسخهٔ منتشرشده در آن‌جا مرجع است.