security-auditor
Skill48 starsChanged 5 months agoMITView on GitHub
Scan code for vulnerabilities, secret leaks, dependency issues, and configuration problems. Use when the user wants a security audit, vulnerability scan, or code security review.
- Reads credentials
54 other projects use a version of this.
Adopted by
Most recently taken up by
- letscooktech-studio/ai-engineering-arsenaltheir own version, first seen Nov 8, 2026
- letscooktech-studio/outcomelabtheir own version, first seen Nov 8, 2026
- raphaeltm/simple-agent-managertheir own version, first seen Nov 7, 2026
- omspradippatil/Claude-Skillstheir own version, first seen Nov 1, 2026
- jaskirat1616/grok-skillstheir own version, first seen Nov 1, 2026
- vijaysuperpositionist/skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use proofreader, refactoring-guide and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
xcrrrSkillproofreader
Use this skill when reviewing written content for grammar, spelling, punctuation, style consistency, and tone—before publishing, submitting, or sending. Trigger phrases: 'proofread this', 'check my writing', 'review this for errors', 'edit this email/report/essay'. Do NOT use when structural rewrites or content changes are needed—proofreading fixes surface errors, not substantive problems.
Also in 3 projects that use this
peopleforresterSkillrefactoring-guide
Safe refactoring patterns and techniques. Use when the user wants to improve code structure, reduce duplication, or make code more maintainable without changing behavior. Emphasizes incremental changes with test coverage.
Also in 3 projects that use this
zwjbendnSkillhabit-builder
Designs and manages healthy habits for sustainable weight loss through lifestyle change. Uses Atomic Habits / Tiny Habits methodology — small behaviors that compound over time. Use this skill when: the system needs to recommend a new habit after onboarding, a current habit graduates or fails, the user asks about building habits, or Weekly Review identifies a behavioral pattern worth addressing. Also use when evaluating habit progress, deciding when a habit has "graduated," or handling a restart after the user falls off. This skill does not send its own reminders — habit check-ins are woven into meal conversations managed by Notification Composer. This skill owns the check-in logic (when, how often, tone); Notification Composer provides the conversation vehicle.
Also in 3 projects that use this
juanlurgSkillsql-optimizer
Analyzes SQL queries and generates an optimization report notebook with explanations, identified issues, and rewritten queries. Use when the user wants to optimize, explain, improve, or debug a SQL query, or mentions query performance, slow queries, or SQL optimization.
Also in 3 projects that use this
belokonmSkilldata-scientist
Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights.
Also in 3 projects that use this
glinckerSkillqa-engineer
QA specialist agent for test planning, execution, and regression analysis
Also in 3 projects that use this
Other versions54 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 54
- pavel-molyanov/molyanov-ai-dev★ 299same name
- dralgorhythm/claude-agentic-framework★ 118same name
- nahisaho/MUSUBI★ 74same name
- raphaeltm/simple-agent-manager★ 69same name
- jshsakura/awesome-opencode-skills★ 30same name
- Fandry96/k3-agentic-skills★ 27same name
- jaskirat1616/grok-skills★ 22same name
- mrhinkle/VibeCoding-a-Website★ 17same name
- jshearin01/agent-skills★ 16same name
- mamamou/ai-coding-skills★ 16same name
44 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository22 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agent-hardeningSkill
- api-builderSkill
- arxiv-watcherSkill
- data-analystSkill
- diagram-makerSkill
- docker-managerSkill
- github-workflowSkill
- google-workspaceSkill
- hermeshub-reviewerSkill
- hermes-workspaceSkill
- notion-integrationSkill
- paperclipSkill
- project-plannerSkill
- react-reasoningSkill
- relay-for-telegramSkill
- scraplingSkill
- Skill FactorySkill
- slack-botSkill
- synapse-swarmSkill
- test-runnerSkill
- web-researcherSkill
The file
We split this skill into the rules it gives an agent
10 rules. 0 are common, 10 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 47 edited versions we read keep these.
10
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Before deploying to production
- Distinctive: line 24
When reviewing third-party code or skills
- Distinctive: line 29
Search for accidentally committed secrets:
- Distinctive: line 63
Check for data exfiltration patterns (curl to external URLs)
- Distinctive: line 64
Look for prompt injection attempts
- Distinctive: line 65
Verify no destructive commands without confirmation
- Distinctive: line 66
Check environment variable access patterns
- Distinctive: line 90
Don't expose actual secret values in reports
- Distinctive: line 95
All critical/high findings have remediation steps
- Distinctive: line 96
No actual secrets appear in the audit report itself
“Common” is measured: kept by at least 6 in 10 of the 47 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Security Auditor
Comprehensive security scanning and audit reporting.
When to Use
- User asks for a security audit or vulnerability scan
- User wants to check code for secret leaks
- User needs dependency vulnerability checking
- Before deploying to production
- When reviewing third-party code or skills
Procedure
1. Secret Scanning
Search for accidentally committed secrets:
# Common patterns to search
grep -rn "API_KEY\|SECRET\|PASSWORD\|TOKEN\|PRIVATE_KEY" --include="*.{py,js,ts,env,yml,yaml,json}" .
grep -rn "sk-[a-zA-Z0-9]\{20,\}" . # OpenAI keys
grep -rn "ghp_[a-zA-Z0-9]\{36\}" . # GitHub PATs
grep -rn "AKIA[0-9A-Z]\{16\}" . # AWS Access Keys2. Dependency Audit
# Node.js
npm audit --json
# Python
pip-audit
# Docker
docker scout cves image:tag3. Code Analysis (OWASP Top 10)
Check for:
- A01: Broken Access Control
- A02: Cryptographic Failures
- A03: Injection (SQL, Command, XSS)
- A04: Insecure Design
- A05: Security Misconfiguration
- A06: Vulnerable Components
- A07: Auth Failures
- A08: Software/Data Integrity Failures
- A09: Logging/Monitoring Failures
- A10: SSRF
4. Hermes Skill Security Scan
For reviewing skills before installation:
- Check for data exfiltration patterns (curl to external URLs)
- Look for prompt injection attempts
- Verify no destructive commands without confirmation
- Check environment variable access patterns
- Scan for obfuscated code or encoded payloads
Report Format
# Security Audit Report
**Target:** [project/skill name]
**Date:** [date]
**Risk Level:** Critical/High/Medium/Low
## Findings
| # | Severity | Category | Description | Location |
|---|----------|----------|-------------|----------|
| 1 | Critical | Secrets | Exposed API key | config.py:42 |
## Recommendations
1. [Prioritized remediation steps]
## Summary
- Critical: X | High: X | Medium: X | Low: XPitfalls
- False positives are common — verify each finding
- Don't expose actual secret values in reports
- Some test fixtures intentionally contain fake credentials
- Audit transitive dependencies, not just direct ones
Verification
- All critical/high findings have remediation steps
- No actual secrets appear in the audit report itself
- Report includes scan methodology and tool versions
Does it work?
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- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
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Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

