BD audio-tools
音视频处理工具集。支持以下操作： - 从视频文件中提取音频并保存为 WAV 格式 - 对音频文件按指定开始时间和持续时长进行截取 - 播放指定的视频或音频文件（调用系统默认播放器） - 语音识别转文字（Whisper），输出 JSON 格式（含时间戳、置信度） - 提取音频/视频元数据（码率、采样率、时长、编码等） 触发词：提取音频、截取音频、音频截取、剪切音频、播放视频、播放音频、 视频转音频、wav提取、音频剪辑、从视频提取、audio extract、clip audio、play video、play audio、 语音转文字、音频转录、语音识别、提取文字、transcribe、STT、 查看音频信息、提取元数据、文件信息、码率、采样率、metadata
As a process D 41/100 · Unfinished process — 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: 4. 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 "work_dir" - note
frontmatter-keyunknown frontmatter key "runtime" - note
frontmatter-keyunknown frontmatter key "script"
Process rating: all ten parameters 41/100
- 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
- 40Consistency. Frontmatter name (audio-tools) differs from the folder (emar-audio-tools)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 44 steps
- 100Execution cost. Instruction body is 1529 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
- -216 emoji in the instructions: noise for the model
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 335: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 44 items
- +4Has examples (14 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.