SKILLEMALL.ai

BD regulation-extractor

从建筑工程规范PDF中结构化提取条文并同步到飞书多维表格。支持PDF双文字层(原文+OCR)去重、纯图片PDF的RapidOCR识别、条文编号切分(含带空格编号如6. 1. 2. 3)、带圈数字转换(如6.4.④→6.4.4)、OCR错误检测、质量标记、文本清洗(去换行/页眉/符号表/中英文粘连/过长切分)。输出JSON供人工校验或直接写入飞书表格。适用场景:老板提供规范PDF → 提取条文 → 清洗 → 写入飞书多维表格 → 人工校验。触发词:提取规范、法规提取、条文提取、PDF提取规范、批量处理PDF法规。

ClawHub Agent Skills author: youfeijun123 v3.0.0 MIT-0 10 files body ≈ 763 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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: 10. 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")

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 763 tokens
  • 100Running it twice. No mutating operations

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

  • +5Description has no quoted example phrases that should trigger the skill
  • +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
  • +1No license
  • +2Single-language instructions
  • +3Description length 258: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (9 code blocks)
  • +3All 6 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
This skill mostly matches its stated purpose, but it needs review because it sends extracted document content to Feishu using command-line app credentials and can write or delete Bitable records.
LLM: suspicious (high) · VirusTotal: · 29 May 2026