BD audio-enhancement-engine
当用户想要**音频增强**、**提升音质**、**修复录音**、**降噪**、**语音修复**、**高保真音频**、**48kHz超分辨率**、**清理会议录音**、**音乐音质提升**、**批量处理音频**时自动触发。 集成 **VoiceFixer**（通用语音修复）与 **AudioSR**（高保真音频超级分辨率到48kHz）两种专业技术，支持单个音频文件或整个目录批量处理。 默认使用 VoiceFixer 进行降噪和清晰度提升；当用户提到“高保真”“音乐增强”“提升采样率”“48kHz”等需求时，自动切换到 AudioSR 模式。 支持 wav、mp3、flac、m4a、ogg 等常见格式，完全本地运行，输出统一为高质量 WAV 文件。 【重要约束】仅处理音频文件或音频文件夹，其他文件（如视频、图片、文档、纯文本）一律不触发此技能。 常见触发口语（越多越好）： - “帮我增强这个音频” - “修复这个录音的音质” - “给这个语音降噪” - “把这个音频提升到高保真” - “音乐音质增强 这个.mp3” - “批量处理音频文件夹” - “清理会议录音” - “提升音频采样率到48kHz” - “语音修复 这个 wav 文件” - “高保真增强音频” - “老旧录音修复” - “音频增强 目录路径”
As a process D 46/100 · 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: 69. 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 46/100
- 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
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 28 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 503 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
- +4No input/output examples
- -38 of 9 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 12 example trigger phrases
- +3Description length 563: enough signal without eating the budget
- +4Structure: 5 headings
- +3Step-by-step instructions: 28 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.