AC book-skill-finder
Instantly find nonfiction books with Goodreads ratings, summaries, key concepts, and AI suggestions for enhancing your agent's knowledge files. Covers 4 use cases: ① Search books — ("find books about habit formation" "search for books on productivity") ② Get book details — ("tell me about Atomic Habits" "what are the key concepts in Deep Work") ③ Knowledge injection — ("suggest books for my agent's knowledge base" "recommend books to enhance my AI") ④ Reading recommendations — ("what should I read next" "similar books to The Lean Startup") Trigger when users say: "find a book" "search books" "book recommendation" "what to read" or mention: book lookup / book search / nonfiction / Goodreads / Heardly.
Instantly find nonfiction books with Goodreads ratings, summaries, key concepts, and AI suggestions for enhancing your agent's knowledge files.
As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 59/100
- 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
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 8 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 155 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
- +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
- +5Description quotes 12 example trigger phrases
- +3Description length 709: enough signal without eating the budget
- +4Structure: 5 headings
- +3Step-by-step instructions: 8 items
- +4Has examples (2 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.