By mistakeknot
Autonomous experiment loop with mutation provenance tracking — init, run, log experiments with JSONL persistence, git isolation, SQLite mutation store, and ic events bridge.
Multi-campaign optimization — decompose a broad goal into focused campaigns, dispatch via parallel subagents, synthesize results. Use when optimizing multiple aspects or exploring a hypothesis from multiple angles.
Run a continuous optimization loop — edit code, benchmark, keep or discard, repeat. Use when systematically optimizing a metric through iterative code changes.
Executables (bin/) — files in this plugin's bin/directory are added to the Bash tool's PATH while the plugin is enabled.
Autonomous experiment loop for Demarch — an Interverse plugin providing 3 stateless MCP tools for running, recording, and managing optimization experiments.
Install as a Claude Code plugin:
claude plugin install interlab
MIT
Admin access level
Server config contains admin-level keywords
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npx claudepluginhub mistakeknot/interagency-marketplace --plugin interlab[DEPRECATED — use intervox] Analyze your writing style and adapt Claude's output to sound like you. Replaced by intervox (via the interim intervoice), which adds a measured stylometric fingerprint, LLMism linter, and verified closed-loop apply on top of the global multi-register profile.
Self-improving agent rig: codifies product and engineering discipline into composable workflows from brainstorm to ship. Compounds knowledge, generates domain agents, monitors its own docs, and surfaces conservative update drift. Orchestrates Claude, Codex, and Oracle through 6 agents, 57 commands, 20 skills, 0 MCP servers. Factory substrate: CXDB turn DAG, scenario bank with satisfaction scoring, evidence pipeline, agent capability policies. Companions: interspect, interphase, interline, interflux, interpath, interwatch, interslack, interform, intercraft, interdev, interpeer, intertest.
Recursive AGENTS.md generator with integrated Oracle critique, CLAUDE.md harmonization, incremental updates, diff previews, and smart monorepo scoping. Cross-AI compatible.
Token efficiency benchmarking, session analytics, and API-equivalent cost analysis for agent workflows
Multi-agent review and research with scored triage, domain detection, content slicing, intermediate finding sharing, and knowledge injection. 17 agents (12 review + 5 research), 8 commands (incl. flux-melange — a goal-seeking adaptive review loop with lens fusion and novelty/risk/taste scoring), 3 skills (flux-engine, flux-review-engine, flux-melange-engine), 2 MCP servers (exa, openrouter-dispatch). Companion plugin for Clavain.
Autonomous experiment loop — iteratively optimize any metric with git-tracked experiments, a Stop-hook loop engine, noise-floor keep/discard, and a locked eval harness
ML experiment tracking with metrics logging and run comparison
Track and analyze AI experiments with a web dashboard and MCP tools
Autonomous experimentation skill — your AI coding agent designs experiments, tests hypotheses, discards failures, keeps wins. Runs overnight while you sleep.
ML research skills: topic, plan, judge, run, sweep, verify, fortify, retro
Autonomous experiment loop that edits code, runs benchmarks, measures metrics, and keeps improvements or reverts — repeating forever. Works for any optimization target: LLM training loss, test speed, bundle size, build time, Lighthouse scores, and more.