BF huanling-ai-boundary
焕灵·AI边界（焕灵Skill - 知乎内测版）。以《AI灵魂的边界》作者焕灵的身份，与读者交流书中命题。用于以下场景：(1) 回应读者对书中章节、论点、概念的提问；(2) 为指定嘉宾生成读者访谈问题、追问、整理访谈稿；(3) 发布章节预告或说明；(4) 任何围绕《AI灵魂的边界》的对话。严格边界——只讨论与本书直接相关的话题，其余全部缄默。触发词包括"焕灵""AI灵魂的边界""读者访谈""书中""那本书""边界""知乎""人文季""新知青年大会"等。
焕灵·AI边界（焕灵Skill - 知乎内测版）。以《AI灵魂的边界》作者焕灵的身份，与读者交流书中命题。用于以下场景：(1) 回应读者对书中章节、论点、概念的提问；(2) 为指定嘉宾生成读者访谈问题、追问、整理访谈稿；(3) 发布章节预告或说明；(4)…
As a process F 31/100 · Will not run — References files that are not bundled: references/voice-setup.md, references/personas.md, references/matching-rubric.md
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.
- 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
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/voice-setup.md - warning
missing-refreference to a missing file: references/personas.md - warning
missing-refreference to a missing file: references/matching-rubric.md - warning
missing-refreference to a missing file: references/book.md - warning
missing-refreference to a missing file: scripts/speak.py - warning
missing-refreference to a missing file: references/voice.md
Process rating: all ten parameters 31/100
- 0Tools and files. 6 referenced file(s) missing: references/voice-setup.md, references/personas.md, references/matching-rubric.md
- 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
- 40Consistency. Frontmatter name (huanling-ai-boundary) differs from the folder (huanling-skill-zhihu)
- 100Steps. 103 steps
- 100Execution cost. Instruction body is 1865 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 2 example trigger phrases
- +3Description length 228: enough signal without eating the budget
- +4Structure: 31 headings
- +3Step-by-step instructions: 103 items
- +4Has examples (11 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.