Loading...
Loading...
Found 7 Skills
Audit application source code and configuration for cryptography and secrets hygiene issues: hardcoded API keys, committed .env files, private keys, weak hashes, insecure encryption modes, unsafe randomness, bad KDF/password hashing, JWT signing mistakes, disabled TLS verification, and dangerous serialization. Runs a dependency-free offline scanner for high-recall findings, then the model confirms impact and writes concrete fixes with redacted evidence. Use when reviewing app code that handles encryption, tokens, sessions, certificates, or credentials; when asked to scan for hardcoded secrets, exposed API keys, weak crypto, AES-ECB/CBC misuse, MD5/SHA1 password hashing, insecure random tokens, verify=False, InsecureSkipVerify, rejectUnauthorized false, alg none JWTs, or committed private keys. Not for Terraform/Kubernetes-only audits (use infra-security), package install-hook risk (use supply-chain-security), or vetting an agent skill before install (use skill-security).
Heuristic security scan of installed skills — prompt-injection phrases, hidden unicode instructions, credential-store access, network-pipe-to-shell and payload-smuggling patterns. Use when the user asks 'are my skills safe', wants to scan skills for prompt injection or malware patterns, or before trusting a newly installed skill. Trigger with '/janitor-security'.
How to write effective agent skills — what to do, what not to do, anatomy, progressive disclosure, design patterns, anti-patterns, testing, security. Read this whenever a skill (Claude Skill, Agent Skill, SKILL.md) is being created, edited, reviewed, or debugged. Use when the user says "create a skill", "new skill", "update this skill", "improve a skill", "why isn't my skill triggering", or anything else involving authoring or editing SKILL.md files.
Audit installed skills for malicious code, hidden instructions, and security vulnerabilities. Use when users want to scan their skills for potential security issues, verify skill safety before use, or investigate suspicious skill behavior.
Use this skill when auditing AI agent skills for security vulnerabilities, prompt injection, permission abuse, supply chain risks, or structural quality. Triggers on skill review, security audit, skill safety check, prompt injection detection, skill trust verification, skill quality gate, and any task requiring security analysis of AI agent skill files.
Analyze OpenClaw skill permissions and explain exactly what each permission allows. Identifies over-privileged skills and suggests minimal permission sets.
Audit the extensions AI coding agents load and trust (skills, plugins, marketplaces, hooks, settings, MCP servers, and instruction files like CLAUDE.md, AGENTS.md, GEMINI.md, .cursor/rules and copilot-instructions.md) across Claude Code, Cursor, Codex, Gemini CLI and GitHub Copilot. Read-only: inventories each item with its source and pin, greps for hidden instructions, exfiltration, credential reads, persistence, curl|bash and over-broad tool grants, reviews hooks and MCP pinning and tool poisoning, and gives each item a SAFE / CAUTION / DO-NOT-INSTALL verdict. Use when the user mentions 'audit my skills,' 'is this skill malicious,' 'is this skill safe,' 'is this MCP server safe,' 'review CLAUDE.md,' 'review AGENTS.md,' 'plugin security,' 'check my hooks,' 'audit my MCP servers,' 'agent supply chain,' 'SkillSpector,' 'tool poisoning,' 'rug pull,' or is about to install a skill, plugin, or MCP server.