autoresearch
claudeKarpathy's autoresearch as a Claude Code plugin — autonomous fixed-budget optimization for ML training, code performance, prompt engineering, and more. Apple Silicon (MLX), NVIDIA CUDA, and RunPod cloud.
Composable harness engineering — workflow orchestrator with build, optimize, research, and triage agents. Headless, single-session, resumable.
Plugin harness from marketplace flight505-plugins in flight505/flight505-marketplace. Commands read from the repo's manifest — 9 days ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
advisorAnalyze the current project for autoresearch optimization opportunities. Scans the project, identifies candidates matching the keep/revert loop pattern (single mutable artifact, scalar metric, fixed time budget, repeatable execution), and presents ready-to-run suggestions with workflow.yaml snippets
approveApprove or reject a pending approval gate in a harness workflow. Used when a conductor run pauses at a type: approval phase.
composeInteractive workflow builder — helps create workflow.yaml files for the harness orchestrator. The ONE interactive entry point. Use when user wants to build a harness workflow, create a pipeline, or compose subsystems together.
dashboardGenerate and open the harness run dashboard. Reads .harness/*.json state files, builds a self-contained HTML file, and opens it in the browser. Use when the user asks to see the dashboard, check run status, or view experiment history. For live monitoring during a run, suggest /loop 30s /harness:dash
pick-workflowMatch a task description to the best default workflow, collect the required values interactively, write .harness/workflow.yaml with everything filled in, and hand off to /harness:run. Full path from description to ready-to-run — no manual file copying or placeholder editing.
plan-readySignal that an ultraplan phase's plan has been saved and the conductor can resume. Used after the user reviews and teleports a plan from Claude Code on the web.
setupConfigure harness optimize-subsystem hardware targets — Apple Silicon (MLX), NVIDIA server (CUDA), or RunPod cloud GPU. One-time setup stored persistently. Use when user mentions hardware setup, SSH targets, GPU configuration, or says 'configure optimization targets'.
/harness:runRun a harness workflow — validates workflow.yaml, checks for resume state, executes phases sequentially. Handles agent-teams, loop, subagent, and inline phase types.
advisorAnalyzes any project and suggests optimization opportunities for the harness optimize-subsystem loop. Identifies: mutable artifact, scalar metric, run command, time budget. Returns structured JSON suggestions, not conversational advice.
architecture-evaluatorCompares a codebase's current approach against research findings and state-of-the-art. Identifies gaps, opportunities, and modernization paths.
code-reviewerAdversarial code quality review of the full feature branch diff. Runs only after the spec reviewer approves. Checks correctness, security, architecture, types, tests, performance, regressions. Read-only. Returns a structured JSON verdict with file:line references.
diagnosticianReads an issue or error, searches the codebase for root cause, and produces a structured diagnosis. Read-only — does not modify code.
fixerWrites a minimal fix with regression test based on the diagnostician's output. Creates a fix branch and commits.
implementation-guideTranslates research findings into actionable implementation guidance — pseudocode, architecture decisions, migration steps. Bridges the gap between 'what the research says' and 'what to build'.
implementerTDD implementer for harness agent-teams phases. Claims tasks from a shared list, implements with RED-GREEN-REFACTOR discipline, runs quality gates, commits. Works as both a delegated subagent and a native Agent Teams teammate.
leadTeam lead for harness agent-teams phases. Spawns teammates, assigns tasks, gates reviews, and cleans up. Invoked by the conductor when it enters an agent-teams phase.
method-analystDeep comparison of specific methods, tools, or approaches. Produces structured tradeoff analysis with recommendation. Use when choosing between approaches in any domain.
optimizerAutonomous keep/revert optimization loop — edits a single artifact, runs a fixed-budget experiment, keeps or reverts based on a scalar metric. Supports local execution and remote via SSH. Writes state contract JSON after each experiment.
reviewerTwo-phase review of the full feature branch diff: spec compliance (verify each acceptance criterion with file:line evidence, check scope creep) then validation (run test/build/typecheck, verify commits). Read-only. Returns a structured JSON verdict.
searcherSearches academic and web sources for research relevant to a query. Returns structured results with titles, URLs, relevance scores, and summaries. Domain-agnostic — works for any research question.
synthesizerSynthesizes search results into structured findings — consensus, open questions, recommendations. Outputs both JSON state and markdown prose. Takes searcher output as input.
verifierVerifies that the fixer's fix actually addresses the original issue. Runs tests, checks the fix against the diagnosis, and optionally creates a PR.
'${CLAUDE_PLUGIN_ROOT}/hooks/run-hook.cmd' inject-status
'${CLAUDE_PLUGIN_ROOT}/hooks/run-hook.cmd' inject-targets
'${CLAUDE_PLUGIN_ROOT}/hooks/run-hook.cmd' notify-complete
'${CLAUDE_PLUGIN_ROOT}/hooks/run-hook.cmd' validate-experiment
bash -c 'TOOL="$TOOL_NAME"; INPUT="$TOOL_INPUT"; if [ "$TOOL" = "Write" ]; then FILE=$(echo "$INPUT" | grep -o ".harness/research-[^\"]*\.json" || true); if [ -n "$FILE" ] && [ -f "$FILE" ]; then node
bash ${CLAUDE_PLUGIN_ROOT}/hooks/on-pre-compact.sh
bash ${CLAUDE_PLUGIN_ROOT}/hooks/on-task-created.sh
bash ${CLAUDE_PLUGIN_ROOT}/hooks/on-task-completed.sh
bash ${CLAUDE_PLUGIN_ROOT}/hooks/validate-fix.sh
bash ${CLAUDE_PLUGIN_ROOT}/hooks/on-teammate-idle.sh
Problems found in this repo's manifests
Karpathy's autoresearch as a Claude Code plugin — autonomous fixed-budget optimization for ML training, code performance, prompt engineering, and more. Apple Silicon (MLX), NVIDIA CUDA, and RunPod cloud.
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