AF podcast-digest
深度解析播客音频内容,生成结构化纪要与可视化学习材料。适用于:用户上传播客音频文件、提供播客文字稿、输入播客标题或链接、要求"帮我整理播客内容"、"分析这期播客"、"做播客笔记"、"播客内容总结"、"多期播客对比研究"、"播客知识图谱"等场景。 当用户提到 podcast(播客)、音频内容学习、节目笔记、嘉宾观点整理、跨期内容关联时,必须使用此技能。输出涵盖深度纪要、Mermaid 关系图、Web 可视化报告、知识关联卡片,支持单期深度解析与多期横向研究两种模式。
As a process F 35/100 · Will not run — References files that are not bundled: references/web-report-template.md
ProcedureMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
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 · 0
✓ No critical or high findings
Files scanned: 6. 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/web-report-template.md
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: references/web-report-template.md
- 0Tools and files. 1 referenced file(s) missing: references/web-report-template.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
- 100Steps. 30 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 731 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
- +1No license
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 235: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 30 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (3 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.
External checks
ClawHub: clean
This is a podcast analysis skill with broad activation wording but no hidden access, persistence, destructive behavior, or credential use.
LLM: benign (high) · VirusTotal: · 29 May 2026