BC podcast-chat-prep
播客/连麦音频速通与整档播客批量化处理工具。当用户说'朋友推荐了一个播客但我没时间听'、'帮我快速了解这个播客'、'把这几期内容扒下来让我能跟人聊'、'想系统了解一档播客的嘉宾和观点'、'播客逐字稿分析'、'播客笔记'、'连麦完怎么出内容'时使用此 Skill。核心能力：对一档播客几十期上百期做批量化处理，输出单期笔记、嘉宾观点跨期变化追踪、嘉宾人设画像、聊天素材库、公众号内容素材。 输入为逐字稿（.md/.txt，可由通义听悟/飞书妙记/剪映转写获得）。
播客/连麦音频速通与整档播客批量化处理工具。当用户说'朋友推荐了一个播客但我没时间听'、'帮我快速了解这个播客'、'把这几期内容扒下来让我能跟人聊'、'想系统了解一档播客的嘉宾和观点'、'播客逐字稿分析'、'播客笔记'、'连麦完怎么出内容'时使用此…
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 7. 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") - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 53/100
- 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
- 20When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 60 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 735 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
- +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
- +4No input/output examples
- +2Single-language instructions
- +3Description length 230: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 60 items
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.