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AC paper-summarize-pdf-to-feishu

总结论文 PDF 为飞书文档（含图表）。当用户发送 PDF 文件并要求总结、阅读、提取内容， 或要求将 PDF 内容写入飞书文档时激活。支持学术论文、技术报告、一般 PDF 文档。 自动检测扫描版 PDF 并回退 OCR，支持提取并上传论文图片到飞书文档。 含多模型自审核机制：生成 → 配图 → 审核 → 人工确认 → 完善。 **支持去重系统**：自动识别重复 PDF、同文章不同版本、补充材料，智能合并处理。 触发场景：发送 PDF 附件、"总结这个 PDF"、"帮我读一下这个论文"、"把 PDF 写成飞书文档"、 "论文总结"、"PDF 摘要"、"阅读 PDF 并输出到飞书"。

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 11 files · 7 scripts body ≈ 2 728 tokens Open the sourcegithub.com↗ analyzed 2 d ago

总结论文 PDF 为飞书文档（含图表）。当用户发送 PDF 文件并要求总结、阅读、提取内容， 或要求将 PDF 内容写入飞书文档时激活。支持学术论文、技术报告、一般 PDF 文档。 自动检测扫描版 PDF 并回退 OCR，支持提取并上传论文图片到飞书文档。 含多模型自审核机制：生成 → 配图 → 审核 → 人工确认…

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureWriting and documentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 56/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 119 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2728 tokens
  • low The response is described with custom markup (4 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 294: enough signal without eating the budget
  • +4Structure: 48 headings
  • +3Step-by-step instructions: 119 items
  • +4Has examples (20 code blocks)
  • +3All 7 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.