9 tagged feedback-loop, measured the same way as everything else here.
Browse within: annotations 12hypothesis-testing 12llmops 12regression-testing 12systematic-evaluation 12design-tools 7laravel 7laravelcloud 7mcpapps 7agent-workflow 6implementation 6review 6specification 6verification 6
Skill Claude CodeCodex
Design, run, and analyze AI test suites on Rhesis — explore endpoints, build test foundations from a spec, create requirements and metrics, execute tests, and analyze results. Use when testing an AI endpoint, pasting a Product Requirements Document (PRD) or product spec, or working with Rhesis via MCP.
Skill Claude CodeCodex
Persistent compounding memory for AI agents. 5 default MCP tools: sessionstart, sessionend, remember, recall, check. Full surface: 6 tools with --full (adds checkaction); 13 tools with AREXTRAS=1 --full. Two-verb model: inhale (sessionstart) and exhale (sessionend). Correction-first memory with decision trail…
Skill Claude Code needs its repo
Full CLI reference for the tricorder daemon (build diagnostics, test results, source lookup, eval comments, logs). This is the fallback invoked by the tricorder skill when the tricorder-mcp MCP tools aren't available or aren't working — invoke tricorder first; it decides whether this is needed.
Skill Codex
Use when a user wants to design one bounded feedback loop from a goal, assess or upgrade an existing Agent Skill with feedback loops, distill a completed conversation or work record into a candidate workflow and, when compatible, a loop-aware Skill, build an accepted Loop Craft JSON definition, or check an existing…
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: