菜单
Watch Laboratory signals after a run, analysis change, publication update, CI change, or repeated agent workflow. Uses local files, CI status, data integrity checks, and experiment artifacts rather than deploy telemetry. Trigger: /monitor.
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基于 SOC 职业分类
Assess and improve codebase readiness for AI coding agents. Dispatches parallel subagents to evaluate style, testing, docs, architecture, CI, observability, security, and dev environment. Produces a scored report with prioritized remediation. Then executes the highest-impact fixes. Use when: "agent readiness", "is this codebase agent-ready", "readiness report", "make this codebase agent-friendly", "agent-ready assessment", "readiness audit", "prepare for agents". Trigger: /agent-readiness, /readiness.
Dialectical premise-and-alternatives audit for a plan, spec, or context packet. Four moves: premise challenge (is this the right problem?), mandatory structurally-distinct alternatives, cross-model outside voice, user-ratified convergence. Operationalizes the AGENTS.md "Diverge Before You Converge" doctrine at the plan-review stage. Use when: about to commit to a plan/spec/design, reviewing a ticket before shape, when "is this the right problem" would be useful, or any time a proposal smells like a symptom fix instead of a root-cause fix. Trigger: /ceo-review, /challenge, /premise-check.
Laboratory CI gate audit and verification workflow. Use when checking whether experiment, harness, analysis, docs, or Spellbook harness changes are safe to ship. Trigger: /ci, /gates.
Parallel multi-agent review for Laboratory changes. Prioritizes correctness, scientific validity, provenance, tests, and harness fit. Trigger: /code-review, /review, /critique.
Take one Laboratory backlog item to merge-ready. Composes /shape, /implement, /code-review, /ci, /refactor, and /qa as needed. Stops before merge. Trigger: /deliver.
Capture and share what changed — every app has a demo path; the format depends on the change and the audience. The spectrum runs from a release-notes blurb ("no demo needed, here's what moved") through a curl + JSON paste, a terminal recording, a screenshot, a GIF, up to a polished narrated launch video. Pick the path that fits the change shape (UI / API / CLI / library / agent tool / internal-only), the audience (PR reviewer / team Slack / external customer), and the time budget. Also scaffolds a project-local demo skill for repos with recurring polished-capture needs. Use when: "make a demo", "generate demo", "record walkthrough", "launch video", "PR evidence", "upload screenshots", "demo artifacts", "make a video", "demo this feature", "create a walkthrough", "show what changed", "paste the output", "release notes blurb", "scaffold demo", "generate demo skill". Trigger: /demo.
| name | monitor |
| description | Watch Laboratory signals after a run, analysis change, publication update, CI change, or repeated agent workflow. Uses local files, CI status, data integrity checks, and experiment artifacts rather than deploy telemetry. Trigger: /monitor. |
| argument-hint | [experiment-path|report-path|--ci] |
Laboratory has no production service to watch by default. Monitoring here means watching the evidence surfaces that can drift after a change:
*_latest.csv pointersmake ci-smoke/diagnose on a real regression.Return monitor.done or monitor.alert with: