18,394 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.
AI-powered development system that takes a project from raw idea to hardened production. Fuses artifact discipline, execution engine, quality enforcement, and team intelligence into one unified workflow. Triggers on: "god mode", "god init", "god prd", "god arch", "god roadmap", "god stack", "god repo", "god build"…
★not rated 6▲
+1
changed 3d agoA158 tokens
originalMIT
Verify that a portable Agent Plugin loaded correctly in Pi by checking this skill and calling the bundled official MCP everything test server. Use when testing pi-agent-plugins installation, skill discovery, MCP trust, or MCP tool connectivity.
Real-cluster security regression QA — backend auth enforcement, grant/session policy, gateway deny paths, audit emission, trust escalation, UI/API security headers, HTTPS redirect modes, and secret-leak scanning in live logs. Use when Codex is asked to verify a change did not regress auth, governance, gateway policy…
★not rated 6 3d agoASkillSpector: warn116 tokens
originalApache-2.0
Risk-based Kotlin review agents for READMEs, tests, architecture, domain behavior, concurrency, API and data compatibility, security, builds, performance, resilience, and platform runtimes.
★not rated 6
changed yesterdayA
tokens not measured
originalApache-2.0
Dev-pipeline skill corpus for Claude Code: solve-issue, review-pr, validate-issue, and more. Ships SKILL.md prose as source of truth plus skill.yaml state machines generated by atomic-gates' offline converter. Pairs with atomic-gates >= 0.3.0 for schema-validated execution and audit trail.
Production patterns for Hono v4+ backends with Bun, Drizzle ORM, Better Auth, Stoker, hono-openapi + Zod + Scalar, and TDD with Bun test runner. Use when building features, writing tests, reviewing code, or setting up auth/RBAC in modular monolith Hono projects. Apply whenever you see Hono route definitions…
Write the missing tests for the gaps redbar found, following the canonical standard for that layer (Playwright's best practices for e2e, Vitest/Jest idiom for unit, Testcontainers for integration). Reads .redbar/gaps.json, writes one test file per gap, RUNS each test it wrote, and never leaves a failing test behind …
AI testing agents for web apps — dispatch test runs, crawls, fetch artifacts and status. Runs locally from the wopee-mcp npm package. Needs 3 environment variables to run.
★not rated 5 21d agoA
tokens not measured
originalMIT
CLI-first API testing tool for .tarn.yaml files with structured JSON output and a bundled MCP server for AI-assisted write/run/debug workflows. A companion tarn-lsp language server plugin ships from the same marketplace under the tarn-lsp name.
★not rated 5 3mo agoA
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originalMIT
Visual-diff & change-detection tools that catch agentic UI drift for coding agents. Runs locally from the @corralimited/snapdiff-mcp npm package. Needs 2 environment variables to run.
★not rated 5 13d agoA
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originalMIT
Argus — the QA layer for AI-assisted development. Claude-native (MCP) Chrome audits across 67 categories — errors, visual regressions, a11y, security, performance — no test files, secrets redacted by default (Aegis). Runs locally from the argusqa-os npm package.
★not rated 5 1mo agoA
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originalMIT
Mockzilla MCP server. Mock any OpenAPI spec locally with Claude, Cursor, or Gemini CLI. Runs locally from the @mockzilla/mcp npm package. Needs 3 environment variables to run.
Gate AI-written tests: heal safe drift, refuse to hide real bugs, sign a verifiable receipt. Runs locally from the vigilis-mcp npm package. Needs 1 environment variable to run.
★not rated 5 22d agoA
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originalMIT
The only skill you need to build and ship world-class software — from idea to production. Covers the COMPLETE lifecycle: architecture design, domain modeling, service boundaries, data architecture, implementation with TDD, distinctive frontend design (anti-AI-slop), exhaustive QA across all layers, security hardening…
Quality-first harness for autonomous AI coding agents: deterministic gates + a default-FAIL evaluator in the close path of the loop, over a Beads task spine. Done is earned, not asserted. Unifies GSD + Beads; stack-agnostic.
★not rated 5 3mo agoA
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originalMIT
Implements BC components using TDD workflow. Reads the canonical Phase 3 spec at {coachoutputroot}/{bc}/spec.md plus the .claude/rules/{bc}.md quick-reference card and CLAUDE.md, then follows Red-Green-Refactor per Aggregate vertical slice. Stack-agnostic skeleton — all stack-specific commands (test runner, ORM…
Build a new feature using strict test-driven development — UNDERSTAND → DESIGN → RED → VERIFY RED → GREEN → VERIFY GREEN → REFACTOR → VALIDATE → REPEAT. Use when building a new feature with TDD, when the user says "TDD this", "tests first", "red green refactor", or asks for feature work that needs to be verifiable…
★not rated 5 todayA106 tokens
originalMIT
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