AC mu-ebook-scout
Multi-source ebook search across 10 legal sources (public-domain classics, CBETA/ctext Chinese canon, LibriVox audiobooks, community netdisk book-lists via full GitHub code search, Google Books metadata). Use when the user wants to find or download a book, ebook, EPUB/PDF/MOBI file, or audiobook in Chinese or English — even without the word find, any mention of a book title together with epub/pdf/下载/电子书 counts. 不适用: academic papers or journal articles (use a general web search tool). 触发词/Triggers: find a book, ebook search, epub, public domain books, audiobook, 找书, 电子书, 公版书, 有声书, 下载书.
Multi-source ebook search across 10 legal sources (public-domain classics, CBETA/ctext Chinese canon, LibriVox audiobooks, community netdisk book-lists via…
As a process C 62/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting
How to improve
- 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "display_name"
Process rating: all ten parameters 62/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 18 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 984 tokens
- 100Running it twice. No mutating operations
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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
- +2Single-language instructions
- +3Description length 591: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 18 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.