BF book-report
Use when the user wants to "了解一本书" / "出一份书的研究报告" / "生成书的资料" / "做读书弹药库" / "我需要给别人讲一本书". Produces two artifacts per book: (1) HTML 报告 for self-study, (2) 弹药库 for casual conversation. Workflow: 维基百科+百度百科+知乎 抓取 → 模板渲染 → 两件套输出。Trigger words: 了解/研究/讲一下/聊/书/读.
Produces two artifacts per book: (1) HTML 报告 for self-study, (2) 弹药库 for casual conversation.
As a process F 41/100 · Will not run — References files that are not bundled: templates/report.html.j2, templates/chat-kit.md.j2
How to improve
- The text references files that are not there: add them or drop the references.
- 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
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Use when the user wants to "了解一本书" / "出一份书的研究报告" / "生成书的资料" / "做读书… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
missing-refreference to a missing file: templates/report.html.j2 - warning
missing-refreference to a missing file: templates/chat-kit.md.j2
Process rating: all ten parameters 41/100
- 0Tools and files. 2 referenced file(s) missing: templates/report.html.j2, templates/chat-kit.md.j2
- 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
- 100Steps. 29 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 470 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 253: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 29 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.