Use when working in a repository that uses bd or Beads for durable project task tracking, issue dependencies, blocker management, multi-session handoff, or shared work memory. Trigger when the user asks to find ready work, claim or close tasks, create follow-up work, inspect blockers, recover project context, or choose between local planning and persistent project tracking.
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Use Beads as the shared project task system. Local plans, scratch files, and personal memories are useful, but they are not the durable source of truth for project work.
Run:
bd prime
If that prints nothing, check whether the repository has an active Beads workspace:
bd where
Use the bd CLI when shell access is available. It is the most compact and direct Beads interface.
bd ready
bd list --status=open
bd list --status=in_progress
bd show <id>
bd update <id> --claim
bd create "Short title" --description="Why this exists and what needs to be done" --type=task --priority=2
bd close <id> --reason="Completed"
Use Beads for:
Use agent-local planning tools only for the current turn's execution checklist. Do not treat them as shared project state.
bd edit; it opens an interactive editor. Use bd update flags instead.--json when parsing bd output programmatically.bd prime may already be injected. Run it manually when context is missing.还没有评价。欢迎分享你的使用感受。
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Compare evaluated runs in a retort experiment along factor dimensions. Surfaces effects of each factor, aggregates across replicates, and highlights cells that diverge qualitatively — complementing (not replacing) retort's ANOVA analysis.
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Determine the TRUE cause of a failed retort run before attributing it. Ground-truth every failure (run its tests, read its agent logs, inspect its workspace) and classify it as an infrastructure false-fail, a genuine model miss, or an environment issue — never trust the gate verdict or a log signature alone. Use whenever a run is recorded failed (test_coverage=0 / gate fail), a pass rate looks low, or you're deciding whether a "failure" is real before reporting or proceeding.
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Evaluate a single retort experiment run. Score the generated code against the task's TASK.md requirements, run its build and tests, compute metrics, and emit a structured evaluation report plus a machine-readable findings file.
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Aggregate a retort run's findings.jsonl into a machine-readable assessment.json summary with severity counts, penalty score, requirement coverage, and top findings.
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Summarize the architecture of code generated by a single retort run. Produces module-level structure, interfaces, and control flow in a form suitable for cross-run comparison — not a full codebase-summary.
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Refresh the data tables in optimal-blog.md from master.db. Checks the data for integrity problems FIRST, then runs the generator that picks per-language winners and splices every GEN-marked table, then reconciles the surrounding prose. Use after new experiment results land, or when the optimal-blog numbers are stale.
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