SKILLEMALL.ai

AF reconcile-timeline

Re-anchor a long-form video timeline to the MEASURED voiceover. After TTS runs, the timeline segment start/end times are still the PREDICTED (155 wpm) values while the audio plays at the TTS engine's actual pace. On a multi-minute video this compounds across segments and desyncs image from audio. This skill walks each timeline segment's vo_line against the measured word timings (written into subtitles[] by elevenlabs-tts) and rewrites each segment's start_time/end_time to the real audio boundaries, then updates audio_duration to the measured total. No API call. Re-runnable. Run AFTER elevenlabs-tts and BEFORE the final video render, long-form only. Use when processing a long-form (schema_version 3.0-long) job where the voiceover has already been generated and measured word timings exist in input.json.

ClawHub Agent Skills author: Pushpendra Singh Chauhan v1.0.0 MIT-0 3 files · 1 script body ≈ 628 tokens Open the sourceclawhub.ai analyzed 2 d ago

Re-anchor a long-form video timeline to the MEASURED voiceover.

As a process F 54/100 · Will not run — References files that are not bundled: ../elevenlabs-tts/SKILL.md

IntegrationMedia and videoFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
F
54/100
Will not run
References files that are not bundled: ../elevenlabs-tts/SKILL.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. 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 missing-ref reference to a missing file: ../elevenlabs-tts/SKILL.md

Process rating: all ten parameters 54/100

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
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 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
  • 100Steps. 11 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 628 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)
  • +3Description length 812: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 11 items
  • +3Output format is stated explicitly
  • +4Has examples (4 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This skill performs a narrow local timeline rewrite for a video job and shows no evidence of network access, credential use, or hidden behavior.
LLM: benign (high) · VirusTotal: · 30 Jun 2026