BD jarvis-video-stt
Jarvis-Video-STT - 批量视频语音转文字工具。 基于Faster-Whisper，支持多进程并行、进度条、汇总报告。 **触发场景**： - 用户需要将视频中的语音转换为文字/字幕 - 批量处理多个视频 - 需要生成SRT字幕或纯文本 - 需要处理报告查看结果统计 **使用方式**： 1. 确认已安装依赖: pip install faster-whisper tqdm 2. 确认ffmpeg已安装 3. 执行命令或调用主脚本 **支持格式**：MP4, MKV, AVI, MOV **输出**： - .srt 文件：带时间戳的字幕格式 - .txt 文件：纯文本全文 - report.json：机器可读的汇总报告 - report.md：人类可读的汇总报告
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: 3. 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 (python) that frontmatter does not declare
- 100Steps. 9 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 328 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
- +1No license
- +2Single-language instructions
- +3Description length 345: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 9 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.