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BF byted-kickart-subtitle-extractor

视频字幕提取SKILL：从视频文件自动提取、识别视频中已有的字幕并导出，支持导出为标准SRT格式字幕文件。适用于视频提取字幕、提取视频内已有的字幕、视频字幕识别、字幕导出、视频转字幕等场景。触发时机：当用户提及或表达等价意图（帮我从视频中提取字幕、提取视频里的字幕、从视频里抠字幕、视频字幕提取、导出视频自带字幕、视频字幕识别、字幕导出、视频转字幕）时，调用此SKILL执行字幕提取任务。

ClawHub Agent Skills author: volcengine-skills v1.0.2 MIT-0 19 files body ≈ 1 905 tokens Open the sourceclawhub.ai↗ analyzed 20 h ago

视频字幕提取SKILL：从视频文件自动提取、识别视频中已有的字幕并导出，支持导出为标准SRT格式字幕文件。适用于视频提取字幕、提取视频内已有的字幕、视频字幕识别、字幕导出、视频转字幕等场景。触发时机：当用户提及或表达等价意图（帮我从视频中提取字幕、提取视频里的字幕、从视频里抠字幕、视频字幕提取、导出视频自带字幕、视频…

As a process F 35/100 · Will not run — References files that are not bundled: {url}, {video_url}

ProcedureMedia and videoAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
75/100
safety, quality, tests
Safety 60%
85
Quality 40%
60
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: {url}, {video_url}
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Exfiltration net-redirectable-api-key scripts/core/api/iccp/client.py:145
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • medium Exfiltration net-redirectable-api-key scripts/core/api/meida/chunks.py:170
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • medium Exfiltration net-redirectable-api-key scripts/core/auth/strategy.py:70
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment

Files scanned: 19. 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")
  • warning missing-ref reference to a missing file: {url}
  • warning missing-ref reference to a missing file: {video_url}

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: {url}, {video_url}
  • 0Tools and files. 2 referenced file(s) missing: {url}, {video_url}
  • 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
  • 100Steps. 57 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1905 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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -215 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 194: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 57 items
  • +4Has examples (14 code blocks)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: suspicious
This skill mostly matches a cloud subtitle-extraction workflow, but it asks for sensitive cloud credentials in chat and includes under-scoped account, logging, and update behavior that users should review carefully.
LLM: suspicious (high) · VirusTotal: · 11 Jun 2026