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审计报告:research-units-pipeline-skills

总体结论

  • Verdict: WARN
  • Evidence level: L3
  • Core L3 completed: yes (4/4 tasks)
  • Website recommendation: 可推荐,需标注限制条件
  • Reason: 架构设计优秀(checkpoint gating, provenance tracking, multi-pipeline design),4 个核心模块均有 L3 证据。但网络依赖和 prompt 质量依赖是两个实际风险,需要用户在部署前了解。

证据来源

  • Evidence tasks: evidence/tasks.yaml
  • Evidence scorecard: evidence/scorecard.md
  • Evidence index: evidence/evidence-index.md
  • Case run log: run-log.md
  • Raw outputs: outputs/

通用门槛

门槛 结果 证据
Public source PASS GitHub: WILLOSCAR/research-units-pipeline-skills (MIT)
Version pinned PASS candidate.yaml — git main branch
Install path clear PASS Prompt-driven; no binary installation required
Permissions transparent PASS candidate.yaml — network: true, reads/writes files, runs scripts
Real research task PASS 4 tasks across Chemistry/Physics/Medicine/Biology
Not pure marketing shell PASS evidence/evidence-index.md — all tasks have input/output evidence

模块结论

模块 结论 核心主张 最高深度 证据 风险
literature-discovery WARN Multi-route literature discovery with provenance L3 lit-disc-01 — offline import works, online unverified Network-dependent online routes
paper-reading-kb PASS Structured paper notes with method/results/limitations L3 paper-kb-01 — complete notes with 5 bullets, method, 4 results, 3 limitations Prompt quality affects limitation specificity
research-writing PASS Evidence-bounded writing with citation scope L3 writing-01 — 293-word subsection, caveat-aware Numbers approximate without full trial text
project-management PASS Auditable pipeline execution with checkpoints L3 pm-01 — workspace initialized, 6-unit pipeline, C2 gating Full pipeline execution not tested end-to-end

输出质量

输出 质量标签 证据 修改负担
papers_raw.jsonl WARN lit-disc-01 — 10 records with DOI + provenance Low; needs online retrieval for >=1200
paper_notes.jsonl PASS paper-kb-01 — structured, specific, non-boilerplate Low; fulltext mode would enrich results
sections/S3.1.md PASS writing-01 — publishable draft quality Low; update numbers with full trial data
workspace artifacts PASS pm-01 — complete initialization Low; subsequent units need network

安全说明

  • Network: Required for online literature retrieval (arXiv API, Semantic Scholar). Offline import mode available as fallback.
  • Local files: Reads/writes workspace files within defined directory structure. No path traversal risk observed.
  • Scripts: Python scripts for scaffolding/validation only; not the primary execution path.
  • API keys: None required for core functionality.
  • External services: arXiv API, Semantic Scholar API — both are free, rate-limited public APIs.
  • Data exposure: All test papers are publicly published. No user research data involved.

网站收录说明

  • Best for: Academic researchers needing structured, auditable literature survey workflows with evidence traceability. Best fit for those comfortable with a multi-step, checkpointed process.
  • Not for: Users wanting one-click paper summaries; users who cannot configure network access for literature APIs; users expecting script-level determinism (skills are prompt-driven).
  • Install difficulty: Low (git clone, no compilation). Network configuration may be needed in China.
  • Safety level: Medium — prompt-driven skills may exhibit model-dependent quality variance; guardrails are strong but enforcement depends on model compliance.
  • Reviewer note: Strong architectural design with genuine research value. WARN verdict reflects environmental limitations (network) and model-dependency risk, not design flaws. Recommend inclusion with caveats.
  • Recommendation boundary: 可推荐为"结构化文献综述工具",不可推荐为"一键论文总结工具"。Detail page 必须说明 checkpoint 机制、网络需求和 prompt-driven 特性。

Summary Constraint: summary.md must not claim stronger recommendations than this review supports.