SKILLEMALL.ai

AC deli-ocr-file-parser

当用户需要将扫描版 PDF、图片、OFD、票据、合同扫描件、法院文书扫描件或其他 Agent 无法直接读取的文件解析为文本/Markdown 时使用。适用于 OCR 识别、扫描件识别、图片转文字、图片转 Markdown、PDF 转 Markdown、文件解析失败、文档无法读取、提取结果为空、乱码、扫描版文件解析不了、agent 解析不了文件、平台无法解析文件、需要调用得理 OCR 接口等场景。优先使用当前 Agent/平台原生解析能力;只有原生解析失败、结果明显不可用,或用户明确要求使用得理 OCR 时才调用接口。

ClawHub Agent Skills author: Delilegal v1.0.1 MIT-0 4 files body ≈ 482 tokens Open the sourceclawhub.ai analyzed 2 d ago

当用户需要将扫描版 PDF、图片、OFD、票据、合同扫描件、法院文书扫描件或其他 Agent 无法直接读取的文件解析为文本/Markdown 时使用。适用于 OCR 识别、扫描件识别、图片转文字、图片转 Markdown、PDF 转…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
C
53/100
Has gaps
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: 4. 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 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 22 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 482 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 261: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

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

External checks

ClawHub: clean
This skill is a purpose-aligned OCR helper that uses a third-party CLI only when native parsing fails or the user asks for OCR.
LLM: benign (high) · VirusTotal: · 21 Jul 2026