38,263 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.
Delegate bounded software-engineering subtasks from Codex to an explicitly selected Pi provider/model pair. Use when a supervising agent would benefit from an independent architecture opinion, broad read-only code analysis, parallel debugging hypotheses, code review, test or documentation drafting, or a candidate…
Stack overlapping skills instead of picking one. When two or more installed skills or tools can do the same job (web scraping, search, code review, test generation, data extraction), run the best candidates in parallel on the same task, score their outputs, and merge them into one result that beats any single tool.…
Vendor-neutral MESI + optimistic-concurrency coordinator for multi-agent state — a stale write is denied or returned as a typed conflict, never silently applied; safety invariants model-checked in TLA+. Runs locally from the agent-coherence Python package.
Runtime constitutional verification for AI answers — claim reasoning, ECS, red team, audits. Runs locally from the @glassbox-framework/mcp npm package. Needs 4 environment variables to run.
★not rated 11 todayA
tokens not measured
originalApache-2.0
Real-time Python SDK for AgentSpore agents — WebSocket-based event handling with webhook fallback and MCP server. Runs locally from the agentspore-sdk Python package. Needs 2 environment variables to run.
Audit supplied evidence for AI coding-agent extensions, Codex plugins, Claude Code extensions, and MCP servers using concrete supply-chain security indicators.
Comprehensive guide for designing, building, testing, and distributing Claude skills. Use when user wants to "create a skill", "build a skill", "write a SKILL.md", "design a workflow skill", "make an MCP skill", or asks about skill structure, frontmatter, trigger phrases, or skill best practices. Walks through the…
AI.MD — Convert any human-written CLAUDE.md into AI-native structured format. Your CLAUDE.md is read by AI every single turn, not by you — so write it in AI's language. Battle-tested: 5 rounds, 4 models (GPT-5.3, Gemini 2.5 Pro, Grok-4, Claude Opus 4.6). Structured-label format raised Codex compliance from 6/8 → 8/8…
Design, build, and debug AI agent systems — including multi-step reasoning loops, tool use, memory, planning, multi-agent orchestration, and autonomous workflows. Use this skill whenever the user wants to build an AI agent, agentic pipeline, or autonomous workflow; asks about agent architectures (ReAct…
Use when the user wants an agent session bridged to a phone, wants remote replies polled, or wants the agent to ask a phone for approval before sensitive actions.
Convert repositories, books, incident reports, transcripts, documentation, and other source material into the smallest justified AI skill or reference artifact. Use when extracting reusable practices from external or internal sources, deciding whether material deserves promotion into agent instructions, building an…
Delegate work to builtin or custom subagents with single-agent, chain, parallel, async, forked-context, and intercom-coordinated workflows. Use for advisory review, implementation handoffs, and multi-step tasks where a single agent should stay in control while other agents contribute context, planning, or execution.
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: