SKILLEMALL.ai

AD srt-to-doc

将 SRT 字幕文件转换为结构化 Markdown 文档的完整工作流。无需配置任何额外 API key,完全依赖当前 session 内置能力完成全部处理。 适用场景:用户上传或提供 .srt 字幕文件,想要将视频内容转化为可读文档;整理 Bilibili / YouTube 视频字幕;将字幕内容分析后生成知识文章;对视频内容做补充研究后输出报告。 触发关键词:.srt 文件、字幕文件、srt转文章、srt转文档、字幕整理、视频转文档、字幕分析。当用户提到 SRT、字幕、想要把视频内容变成文章或笔记时,务必使用此技能。

ClawHub Agent Skills author: Kaw0n v1.0.0 MIT-0 5 files body ≈ 284 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationYouTubeMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 49/100

  • 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 (srt-to-doc) differs from the folder (srt-to-md)
  • 100Tools and files. No external tools needed
  • 100Steps. 15 steps
  • 100Execution cost. Instruction body is 284 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 264: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This skill coherently converts SRT subtitles into Markdown documents, with a disclosed research-enrichment step users should skip for private transcripts.
LLM: benign (high) · VirusTotal: · 29 May 2026