ruixingshi-bug-fix-plugin

Quality assurance and quality management skills for implementing testing frameworks and verification processes in Claude projects.

200 skills · 39 commands · 1 agent · 1 MCP server

Measure test effectiveness with actionable QA metrics and KPIs. For establishing quality dashboards and evaluating test success rates.

200 skills · 1 MCP server

Claude Code plugin that runs coding tasks across multiple AI models simultaneously to identify blind spots before deployment.

70 skills · 54 commands · hooks

Playful Claude skill evaluation and improvement tool that analyzes model performance and suggests enhancements. Helps identify configuration or prompt issues.

82 skills

Comprehensive guide to code quality metrics and thresholds. Routes to specialized tools for Deptrac, PHPInsights, and testing workflows.

70 skills

Harness for deriving, verifying, and executing requirements-first workflows, enabling AI-driven development from specifications.

37 skills · 30 agents · hooks

Your code review partner. CodeRabbit provides external validation using a specialized AI architecture and 40+ integrated static analyzers—offering a different perspective that catches bugs, security vulnerabilities, logic errors, and edge cases. Context-aware analysis via AST parsing and codegraph relationships. Automatically incorporates CLAUDE.md and project coding guidelines into reviews. Useful after writing or modifying code, before commits, when implementing complex or security-sensitive logic, or when a second opinion would increase confidence in the changes. Returns specific findings with suggested fixes that can be applied immediately. Free to use.

2 skills · 1 command · 1 agent

Knowledge base compiled from OpenAI's Spinning Up in Deep RL (MIT, Joshua Achiam) by engineering/book-to-skill. A resident core carries the RL optimization problem, the model-free taxonomy, the policy-gradient template with its five valid weights, the safe-step family (VPG to TRPO to PPO) and the overestimation family (DDPG to TD3 and SAC); 20 on-demand chapters cover key concepts and MDPs, the algorithm taxonomy and model bias, the policy gradient derivation with the log-derivative trick and EGLP lemma, Achiam's researcher essay, the key-papers topic map, the exercises including the silent DDPG broadcasting bug, the benchmark parity disclosure, one chapter per algorithm, and the logger/MPI/ExperimentGrid utilities. Ships a glossary, a patterns file with 16 techniques, a decision cheatsheet with thresholds, a cs-spinning-up-deep-rl agent and /cs-spinning-up-deep-rl. Structured study notes, not a reproduction of the source.

1 skill · 1 command · 1 agent

Point it at a codebase and it figures out what's worth doing — bugs, perf, tech debt, what to build next — then writes plans any agent can execute. It can hand the work to a cheaper model and review the result. It never edits your code.

1 skill

Audits code for unit and decimal-scaling bugs and annotates it with dimensional comments recording the units of each value. Use when someone asks to audit or review code for unit confusion, decimals or scaling mismatches, WAD/RAY scale errors, or the wrong token's decimals; to annotate units in a codebase; or to perform a dimensional analysis of a DeFi protocol, offchain code, or other arithmetic-heavy codebase. Catches formulas that combine values carrying different units or scales.

1 skill · 5 agents

Audits or prunes agent config, instruction drift, hooks or MCP, and AI maintainability. Use when Claude, Codex, or Pi setup looks wrong or guidance needs slimming. Not for application bugs or PR review.

1 skill · 3 agents

83-skill bug-hunting & external red-team bundle — 58 hunt-* web/vuln-class + framework skills, enterprise platform attack chains (M365/Entra, Okta, SharePoint, vCenter, SSL-VPN, APK/iOS), recon/OSINT, reporting & validation gates, Burp MCP integration. Skills auto-load by topic; 15 slash commands.

83 skills · 15 commands