15,528 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
38 engineering discipline skills for Claude Code & OpenAI Codex — research, quality gates, testing patterns, deployment, learning, gap analysis, spec sync, and more. Extracted from real-world development.
★not rated 10 3mo agoA
tokens not measured
originalMIT
Run a subagent-first structured improve-verify loop in OpenCode. Activate with /autoresearch or specialized modes like /autoresearch:plan, /autoresearch:debug, /autoresearch:fix, /autoresearch:learn, /autoresearch:predict, /autoresearch:scenario, /autoresearch:security, /autoresearch:ship. Supports recursive…
Cursor rule "mcp-debugging" from giantswarm/mcp-prometheus, covering debugging mcp-prometheus via mcp-debug, core debugging tools, debugging workflow, 1. verify all services are running and 2. check mcp server registration.
Debug probe Model Context Protocol server for AI agents and developer tooling. Runs locally from the dbgprobe-mcp-server Python package. Needs 9 environment variables to run.
★not rated 10 5mo agoA
tokens not measured
originalMIT
Diagnose and fix Single Step Instrumentation (SSI) issues on Kubernetes — SSI automatically instruments applications for APM without code changes. Only use if the agent and SSI are already configured but traces are missing or instrumentation is not working.
Audit and repair exported n8n workflow JSON with deterministic safety and outcome-contract checks. Use when reviewing AI-generated or customer-facing n8n workflows before deployment, investigating Vibeflow VF000-VF013 findings, adding kill switches or human handoffs, checking secrets, retries, webhook exposure, money…
End-to-end incident investigation workflow that fetches logs and performs root cause analysis. Use when a user wants to investigate incidents, analyze job failures, fetch and analyze logs in one workflow, or debug infrastructure issues. Combines log-fetcher, root-cause-analysis and context-fetcher into a unified…
Structured workflow for profiling and optimizing Python code — CPU hotspots, memory usage, and benchmark-driven validation. Use this skill whenever the user asks to make Python code faster, reduce memory usage, profile performance, find bottlenecks, optimize hot paths, reduce allocations, or investigate why something…
Diagnose and recover a live epistemic-graph engine (the AI-native database): engine down / socket refused, host-daemon crash-loop, circuit-breaker open, backend-type errors, zombie containers, duplicate Swarm tasks, slow first boot. Use when the KG is unreachable, ingestion stalls, go tools error, or a deploy left the…
MCP server "rust-analyzer" as configured in coherentforge/CambiOS. Runs mcp_rust_analyzer with /Users/jasonricca/Library/CloudStorage/OneDrive-Personal/Synthesis/coding/Tooling/mcp-rust-analyzer/.venv/bin/python3. Needs 1 environment variable to run.
★not rated 10 1mo agoA
tokens not measured
AGPL-3.0
Static correctness linter and quality orchestrator for Claude Code plugins, skills, and hooks. Catches invalid hook schemas, bad frontmatter, YAML corruption, and token inefficiency. Delegates description quality to skill-creator.
★not rated 10 1mo agoA
tokens not measured
originalMIT
Detect silent agent failures and memory degradation. Use when asked for an agent health check, when agent behavior seems off or output quality drops, after long unattended runs, or as part of a scheduled maintenance pass.
Investigate incidents, optimize costs, review architecture, and map topology with the AWS DevOps Agent — fully integrated into Claude Code via MCP, with skills that auto-route incidents to the right workflow.
★not rated 10 3mo agoA
tokens not measured
MIT-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: