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AutoLabOS
AutoLabOS contains 8 collected skills from lhy0718, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Use when Codex should operate AutoLabOS as a research governance layer: create governed briefs, audit run artifacts, review paper readiness, strengthen weak nodes, or package traceable research bundles.
Use this skill when preparing, cleaning, or rerunning an AutoLabOS live validation workspace, especially when briefs, templates, run outputs, nested validation folders, or stale artifacts may affect a real paper-readiness run.
Use when editing AutoLabOS public source, tests, examples, or generated-code fixtures to prevent one-off experiment identifiers, model names, benchmark names, or condition markers from becoming public contracts.
Use this skill when validating AutoLabOS-generated TeX/PDF/paper bundles and keeping test/output coherent without manually substituting artifacts.
Use this skill when the goal is to move AutoLabOS outputs from workflow completion toward evidence-backed, baseline-bearing, paper-scale research quality.
Use this skill when the task is to repeatedly run a real TUI validation loop from test/ itself as the execution environment, reproduce issues, record them in ISSUES.md, apply the smallest plausible fix, revalidate the same flow, and keep validation grounded in node-owned execution rather than external substitution.
Use when creating or editing files that may be committed or uploaded to GitHub, especially docs, checklists, skills, tests, scripts, configs, or examples that might reference local files, private reference docs, private mirrors, workspaces, run outputs, or machine-specific resources.
Use this skill when the task is to reproduce or analyze a concrete AutoLabOS TUI/web symptom, especially when stale state, fresh-vs-existing divergence, resume mismatch, or persisted-artifact-vs-UI disagreement may be involved.