Loading...
Loading...
Found 64 Skills
Python code quality with ruff linter. Fast linting, rule selection, auto-fixing, and configuration. Use when checking Python code quality, enforcing standards, or finding bugs.
Run Python (ruff) and JavaScript (Biome) linting, formatting, and code quality checks with auto-fix support. Use when code needs linting, formatting, or style checking before commits. Use for "lint", "format", "ruff", "biome", "code style", or "check quality". Do NOT use for comprehensive code review (use systematic-code-review).
Security Check - Security review for skills before installation. Triggers: Before installing new skills, regular review of installed skills, or when security issues with a skill are suspected. Security Checks: - Dangerous Commands: rm -rf, sudo, curl|bash, etc. - Network Requests: Potential data leakage risks - File Writes: Writing to sensitive locations - Credentials: Risk of API key/password leakage - Resource Exhaustion: Infinite loops - Privilege Escalation: Privilege escalation attempts - External Dependencies: Suspicious dependencies Commands: - /安检 <skill-path> - Review skill security - /安检 scan <path> - Deep scan - /安检 list - List risks of installed skills - /安检 fix <skill> - Fix security issues - /security <skill-path> - English command Actions: - Auto-fix: Remove or replace dangerous code - Disable: Disable dangerous features - User Confirm: User chooses whether to proceed - Block: Block installation for severe risks Capabilities: Static code analysis, dangerous pattern recognition, risk assessment, auto-fix, user interactive decision making.
Post-restart smoke tests + auto-fix for gbrain and OpenClaw environments. Tests critical services, auto-fixes known issues, extensible via user-defined test scripts in ~/.gbrain/smoke-tests.d/*.sh.
Inspect or run the manual maintenance workflow. Uses explicitly configured repository checks, applies safe auto-fixes, and archives successful maintenance changes.
[BETA] Dogfood the active branch end-to-end as a QA engineer. Diffs the branch against main, builds an exhaustive browser test matrix of every change (full user journeys, not just features), drives the app with agent-browser, then auto-fixes issues, adds regression tests, and commits each fix until the matrix is green. Use when you want a hands-off 'test everything we just built and make it actually work' pass before shipping.
Write AST-based code search and rewrite rules using ast-grep YAML. Create linting rules, code modernizations, and API migrations with auto-fix. Use when the user mentions ast-grep, tree-sitter patterns, code search rules, lint rules with YAML, AST matching, or code refactoring patterns.
Automated tech debt cleanup worker (L3). Reads codebase audit findings, applies safe auto-fixes for low-risk issues (unused imports, dead code, commented-out code, deprecated aliases). Confidence >=90% only. Creates single commit with summary.
Visual inspection and code review for Web Interface Guidelines compliance. Triggers on "review my UI", "check accessibility", "audit design", "review UX", "fix the layout", "find design problems". Supports both static code analysis and visual browser inspection with auto-fixing.
Validates Stories/Tasks with GO/NO-GO verdict, Readiness Score (1-10), Penalty Points, and Anti-Hallucination verification. Auto-fixes to reach 0 points, delegates to ln-002 for docs. Use when reviewing Stories before execution or when user requests validation.
Galaxy code linting, formatting, and type checking. Run checks, auto-fix formatting, Python lint, client lint, mypy type checks. Use for: ruff, flake8, black, isort, darker, autoflake, pyupgrade, eslint, prettier, mypy, tox, make format, make diff-format, code style, lint failures, CI lint checks, formatting errors, type errors, codespell, redocly, api schema, xsd, config lint.
Codebase intelligence for JavaScript and TypeScript. Free static layer finds unused code (files, exports, types, dependencies), code duplication, circular dependencies, complexity hotspots, architecture boundary violations, and feature flag patterns. Optional paid runtime layer (Fallow Runtime) merges production execution data into the same health report for hot-path review, cold-path deletion confidence, and stale-flag evidence. 90 framework plugins, zero configuration, sub-second static analysis. Use when asked to analyze code health, find unused code, detect duplicates, check circular dependencies, audit complexity, check architecture boundaries, detect feature flags, clean up the codebase, auto-fix issues, merge production coverage, or run fallow.