BC textin-parse
Textin 文档解析 API 封装，支持上传图片/pdf/word/html/excel/ppt/txt 等格式进行版面检测、文字识别、表格识别，生成 markdown 文档及结构化数据。 用于：(1) 解析 PDF/图片/文档为 markdown；(2) 提取文档结构化数据；(3) 识别表格和公式；(4) 提取目录。 触发方式：用户询问文档解析、PDF 转 markdown、提取文档内容等。
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
IntegrationInfrastructureData and analyticstype and topics are labelled automatically from the skill text
How to improve
- 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 51/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 39 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 439 tokens
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
- -33 of 3 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 199: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 39 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.
External checks
ClawHub: suspicious
This is a real Textin document-parsing skill, but it needs review because it asks for API secrets, stores them in plaintext, and sends documents to a third-party service without strong consent or secret-handling safeguards.
LLM: suspicious (high) · VirusTotal: · 29 May 2026