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BF subtitle-srt-export

Export a standard .srt subtitle file from the MEASURED word timings in a job's input.json (written by elevenlabs-tts). Flattens the per-word timings into readable cues (max ~3.5s / ~10 words per cue, breaking on sentence punctuation) and writes <job>/subtitles.srt for upload to YouTube and other platforms. No API call. Re-runnable. Does not modify input.json.

ClawHub Agent Skills author: Pushpendra Singh Chauhan v1.0.0 MIT-0 3 files · 1 script body ≈ 361 tokens Open the sourceclawhub.ai↗ analyzed 20 h ago

Export a standard .srt subtitle file from the MEASURED word timings in a job's input.json (written by elevenlabs-tts). Flattens the per-word timings into…

As a process F 48/100 · Will not run — References files that are not bundled: ../elevenlabs-tts/SKILL.md

ReferenceYouTubeMedia and videotype 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
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
F
48/100
Will not run
References files that are not bundled: ../elevenlabs-tts/SKILL.md
Tools and files w 18
0
Failures and branches w 10
0
Progress reporting w 2
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.
  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 · 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-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: ../elevenlabs-tts/SKILL.md

Process rating: all ten parameters 48/100

Will not run. References files that are not bundled: ../elevenlabs-tts/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: ../elevenlabs-tts/SKILL.md
  • 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
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 75Steps. 3 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 361 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 361: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 3 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill only converts existing subtitle timing data into an SRT file in a user-specified job folder.
LLM: benign (high) · VirusTotal: · 30 Jun 2026