Evidence-first codebase audit for correctness, security, privacy, data, integration, operational, test, and docs-vs-reality risks. Use when the user asks for a Fable-5 audit, exhaustive audit, bug hunt, risk review, codebase audit, security/integration audit, or asks Codex to find issues before changing code.
Instructions for writing and debugging dsh-hooks-plugin scripts, which run during tool or session events such as before a tool call or after it finishes. These scripts return JSON decisions such as allowing, asking about, or denying an action.
Use when a Roblox/Luau bug looks familiar, before re-deriving a fix for placement math, NPC pathfinding, spawning, animation lifecycles, or client tag-handlers, when a weird code pattern (Euler tables over the wire, PivotTo ordering, bounded tag polls, generation counters, provider-injected requires) needs explaining…
Debug C/C++ programs using LLDB debugger when direct code analysis is insufficient. Use ONLY when (1) project complexity makes static analysis unreliable, (2) error logs are missing or uninformative, (3) multiple code fixes have failed, or (4) runtime behavior analysis is required. Supports crash analysis, memory…
Set up, configure, and use Mushi Mushi — the AI-powered QA platform for automatic bug detection, user story mapping, TDD scenario generation, and PDCA auto-improvement. Use when setting up Mushi, configuring SDK/CLI/MCP, managing API keys, or asking how any Mushi feature works.
Find the LLM call you didn't need — your GPT call is a regex. Static, zero-config linter that flags unnecessary GPT/Claude/AI API calls a regex, the stdlib, or a library already does (parsing dates, extracting emails/JSON, sorting, classifying with fixed labels). Runs locally, no model, no API key, nothing phones…
Orchestrate a full-project consistency audit using a parallel agent team. Spawns lane-specific auditors to cross-reference docs vs code vs tests vs infra, deduplicates findings, and writes a severity-scored audit report.
Use this skill when the user asks to audit a codebase for LLM API calls (OpenAI, Anthropic — Python and TS/JS SDKs plus equivalent raw HTTP) and decide which calls can be replaced with deterministic logic. Activates on phrases like 'audit LLM usage', 'bust LLM calls', 'bust the LLM here', 'llm-bust this', 'do I…
A Chinese-language, end-to-end coding workflow with separate steps for planning, review, approval, implementation, checking, and final audit. It also includes optional requirement drafting and log-based cause analysis.
Kit-maintainer diagnostic (LOCAL-ONLY, not distributed) that audits the README and docs/ for staleness against the repo's real command/skill/CLI roster, stamped tree, and cross-doc consistency. Read-only; produces a severity-ranked findings report.
Production debugging skill. Pre-loads DB schema, container registry, and prod environment facts from .claude/prod-debug/ in the current project root. Use when the user invokes /prod-debug or /prod-debug bootstrap.
Work with the GA4 analytics and Sentry error-monitoring integrations in this project. Use when adding events, capturing errors, configuring user identity, managing consent, or troubleshooting the integration.
Analyze Salesforce issues, structure them as ADO-ready defects with evidence, severity/priority assessment, root cause hypothesis, and create ADO bugs via MCP/API when integration is available. Never pretend a defect was created without confirmed API success.
Use this skill whenever the user wants to debug, step through, trace, or inspect a C/C++ program — even if they don't say "LLDB" or "debugger." Trigger on requests like "my program crashes," "help me find this bug," "why is this variable wrong," "set a breakpoint," "show me the call stack," "examine variables at line…
Opinionated multi-step Kubernetes workflows on top of the k8s-mcp server. Encodes tool-sequencing logic and failure-mode decision trees for deploying from a repo, debugging pods/rollouts, performing safe restarts, and auditing cluster posture. Use when the user asks to deploy, diagnose, restart, roll out, or audit…
Use Aragorn (direct DbgEng MCP server) to do debug-assisted tracing of any Windows kernel driver — set conditional breakpoints by symbolic offset or address, capture register and memory state at each hit, walk a function's flow with annotated decompilation, and recover cleanly when dbgeng or the VM wedges. Works for…
Uses TracePulse MCP server for backend runtime error monitoring. Use after ANY backend code change to check for errors, verify fixes, and triage crashes. TracePulse watches dev server logs (stdout/stderr or log files) and exposes parsed, scored errors as MCP tools. Works with any language - Node.js, Python, Go, Java…
Drive running IDA Pro GUI instances through Hexmux by selecting the correct database, generating focused IDAPython scripts, executing them through the Hexmux CLI, and interpreting structured results. Use for reverse engineering, disassembly, decompilation, database inspection, renaming, comments, type changes…
Control and analyze a user-approved Google Chrome tab, or analyze supplied JavaScript, source maps, binary payloads, protocols, and WASM locally through chrome-agent-bridge MCP tools. Use for visible page control, script collection/search, CDP debugging, performance profiling, sensitive opt-in network inspection…
Comprehensive codebase health auditing, remediation, and verification skill based on the canonical HQE Protocol v5.0.0.
★not rated 3 18d agoA29 tokens
originalApache-2.0
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: