BD audio2srt-localgen
Local-generate and deploy the Audio2SRT project — a MLX Whisper audio transcription and translation Web GUI for Apple Silicon Macs. Unlike audio2srt-deploy (which clones from Gitee), this skill generates the entire project from embedded templates on the local machine, requiring zero network access for source code. Installs Python and Node.js dependencies, auto-downloads MLX models from ModelScope, and launches both the backend (Python aiohttp, port 8765) and frontend (Vite + React, port 3000). Triggers: 本地生成audio2srt, 本地搭建转录工具, generate Audio2SRT, 生成音频转录项目, local deploy mlx whisper, or any request to create/set up the audio2srt project without cloning from remote.
As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 1 more place: ClawHub
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: 26. 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 39/100
- 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
- 30Running it twice. 5 mutating operations with no state check
- 40Consistency. Frontmatter name (audio2srt-localgen) differs from the folder (localaudio2srt)
- 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
- 100Steps. 20 steps
- 100Execution cost. Instruction body is 1156 tokens
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
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 672: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 20 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (1 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.