BF pdf-learning-workflow
扫描版PDF书籍 → OCR识别 → 章节分割 → 学习优化笔记
扫描版PDF书籍 → OCR识别 → 章节分割 → 学习优化笔记
As a process F 33/100 · Will not run — References files that are not bundled: page=0,bbox=[...]
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Broad scope
meta-dynamic-shellSKILL.md:26Shell command executed automatically when the skill loads (Claude Code !`cmd` preamble)!`test -f ~/.config/glm-ocr/api_key && echo "✅ GLM-OCR key configured" || echo "⚠️ NO GLM-OCR KEY — setup required"`
Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-shortdescription under 40 chars: too little signal for triggering - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: page=0,bbox=[...] - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 33/100
Will not run. References files that are not bundled: page=0,bbox=[...]
- 0Tools and files. 1 referenced file(s) missing: page=0,bbox=[...]
- 0Result and completion. Does not say what the result is
- 0When it triggers. No condition that starts the skill
- 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
- 100Steps. 9 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 775 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)
- +3Description length 32: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -31 of 5 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Structure: 13 headings
- +3Step-by-step instructions: 9 items
- +4Has examples (8 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 51.
External checks
ClawHub: clean
This appears to be a legitimate PDF-to-study-notes workflow, but it uses external OCR and CDN services that users should understand before processing sensitive documents.
LLM: benign (high) · VirusTotal: · 3 Jun 2026