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thesis-quality-gatelisted

Manage a thesis project's machine-readable state, numeric-evidence ledger, literature-verification registry, unified Doctor checks, stage artifact provenance, and tri-state submission gates. Use when Codex or Claude needs to refresh paper status, trace every thesis number to evidence, diagnose Python/LaTeX/font/citation/caption/statistics/DOCX/PDF readiness, or return PASS, REOPEN_WRITING, or REOPEN_ANALYSIS for an advisor-review, predefense, blind-review, or final-delivery package.
gxgeek-n/wenqu-mem · ★ 2 · AI & Automation · score 63
Install: claude install-skill gxgeek-n/wenqu-mem
# Thesis Quality Gate Use the deterministic CLI in this Skill as the control plane for thesis state and delivery readiness. Keep project evidence, decisions, reports, and private data in the thesis project; keep only reusable code and sanitized templates in this Skill. ## Locate the project Run commands from the thesis project root, which must contain `.project/`. Prefer the project-local launcher when present: ```bash python3 scripts/thesis_quality.py state refresh ``` Otherwise invoke the Skill entry directly: ```bash python3 <skill-path>/scripts/thesis_quality.py --project <project-root> state refresh ``` Read [references/project-contract.md](references/project-contract.md) before onboarding a new project or changing paths and schemas. ## Operate the quality loop 1. Refresh state before relying on branch, commit, version, page count, stage, risk, or last-build information. 2. Refresh the numeric ledger after changing thesis numbers. Treat automatic classification as provisional; never auto-mark evidence as verified. 3. Sync the literature registry after changing `ref.bib`. Mark a source verified only after checking a real bibliographic source. 4. Run Doctor after meaningful source, environment, build, or delivery changes. 5. Before formal delivery, require confirmed research anchors, an accepted current-stage artifact contract, a closed revision ledger, a current deterministic de-AI report, and an isolated AI review report. 6. Run the gate matching