BD guaikei-video-to-text
把视频里的说话内容提取成干净文字。用户给你视频链接或本地文件，说「视频转文字」「提取文案」「转个稿」「提取字幕」时使用。自动去掉语气词、口误和重复内容，还能按用户要求总结要点、改写成小红书或抖音文案、提取金句、翻译成英文。
把视频里的说话内容提取成干净文字。用户给你视频链接或本地文件，说「视频转文字」「提取文案」「转个稿」「提取字幕」时使用。自动去掉语气词、口误和重复内容，还能按用户要求总结要点、改写成小红书或抖音文案、提取金句、翻译成英文。
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.
For the model run — optional
- 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: 17. 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, node) that frontmatter does not declare
- 100Steps. 36 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1309 tokens
- 100Running it twice. No mutating operations
- low 13 top-level sections: this looks like several domains in one skill
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)
- +3Description length 111: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -214 emoji in the instructions: noise for the model
- +2Single-language instructions
- +4Structure: 16 headings
- +3Step-by-step instructions: 36 items
- +4Has examples (2 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.
External checks
ClawHub: suspicious
The skill mostly matches its video-to-text purpose, but its URL handling can fetch and upload arbitrary reachable web resources without strong limits, so it needs review before installation.
LLM: suspicious (high) · 12 Sept 2026