BC music-toolkit
当用户想要【录制电脑声音、内录系统音频、捕获声卡输出、AI智能分轨切歌、自动裁剪录音前后空白/杂音】时自动触发。 专门用于对系统播放的音乐、串烧、整张专辑、网课等音频进行高保真内录，并提供基础静音切分与基于 PyTorch 的 AI 音乐结构分析分轨功能。 用户只需提供录制时长（分钟），即可自动启动后台录音，结束后按要求精细裁剪并导出。 常见触发口语： - “帮我录音 5 分钟” - “录制电脑正在播放的声音，录 3 分钟” - “把电脑现在放的歌录下来，时长 4 分钟” - "内录系统声音 10 分钟，帮我用 AI 自动切歌分轨" - “帮我录制这段音乐，把前后的空白和杂音自动剪掉” - “开启 AI 专辑模式录音 30 分钟，帮我把每首歌单独切出来” - “系统声音内录工具” - “AI 音频录制与分轨器” - “帮我录制整张专辑，时长 45 分钟”
当用户想要【录制电脑声音、内录系统音频、捕获声卡输出、AI智能分轨切歌、自动裁剪录音前后空白/杂音】时自动触发。 专门用于对系统播放的音乐、串烧、整张专辑、网课等音频进行高保真内录，并提供基础静音切分与基于 PyTorch 的 AI 音乐结构分析分轨功能。…
As a process C 51/100 · 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: 11. 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")
Process rating: all ten parameters 51/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 13 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 432 tokens
- 100Running it twice. No mutating operations
- low The response is described with custom markup (6 tags): a typed call is more reliable
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
- -37 of 8 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 9 example trigger phrases
- +3Description length 383: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 13 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.