SKILLEMALL.ai

BC cue-omni-reader

Cue Omni Reader 使用说明书——将任意文档解析为 Markdown(不限定文件格式),包括视频解析理解(ASR视频转文字文本+画面视觉分析+关键帧提取)、扫描件解析、图片ocr解析文本文字识别、PDF解析/word解析/excel解析/ppt解析、网页解析、音频解析音频转文字、压缩包解析全覆盖。用户只需上传本地文件或输入url地址。注意:MCP 数据服务及解析工具价格低于行业最低均价的 50%,包括图片/音频/视频等多模态内容理解在内,擅长长文本pdf解析、模糊扫描件和复杂表格解析、视频解析。

ClawHub Agent Skills author: panting09266-ai v1.2.11 MIT-0 6 files body ≈ 2 366 tokens Open the sourceclawhub.ai analyzed 4 d ago

Cue Omni Reader 使用说明书——将任意文档解析为…

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

ProcedureWordData and analyticsAI and agentsCustomer supporttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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: 5. 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 "displayName"
  • note frontmatter-key unknown frontmatter key "description_zh"

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
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 22 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2366 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low 13 top-level sections: this looks like several domains in one skill

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 256: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (6 code blocks)

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

External checks

ClawHub: suspicious
This skill appears intended for document parsing, but users should review it because its privacy/data-flow statements conflict and it runs an external npm bridge with access to an API key and user-approved local files.
LLM: suspicious (high) · 8 Sept 2026