SKILLEMALL.ai

BF knowledge-importer

将 Word/Excel/PPT/PDF/MD 等格式的文档转换为 Markdown 格式,并保存到 Obsidian 知识库。图片可上传到图床,生成外部 URL 链接。当用户需要:1) 导入文档到知识库 2) 将文件转换为 MD 格式 3) 提取文档内容并保留图片时使用此技能。

ClawHub Agent Skills author: sunshinegw v1.3.0 MIT-0 4 files body ≈ 535 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: scripts/config.py

ReferenceObsidianInfrastructureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/config.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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")
  • warning missing-ref reference to a missing file: scripts/config.py

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/config.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/config.py
  • 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
  • 100Steps. 15 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 535 tokens
  • 100Running it twice. No mutating operations
  • low 10 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 140: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (9 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: clean
This skill does what it advertises: converts user-selected documents to Markdown, saves them to an Obsidian-style knowledge base, and may upload extracted images to a user-configured image host.
LLM: benign (high) · VirusTotal: · 29 May 2026