SKILLEMALL.ai

CD music-to-video

Turn a music track (an audio file, a video to pull audio from, or a track generated from a mood brief) into a beat-synced video — lyric video, slideshow, or kinetic promo. The music drives all pacing; any user-supplied images/videos are cut onto the same beat grid, and a complete video needs zero assets. Narrated pieces → the input-matched workflow (see /hyperframes). Unclear → /hyperframes.

heygen-com/hyperframes Agent Skills author: heygen-com Apache-2.0 80 files · 1 script body ≈ 4 618 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Turn a music track (an audio file, a video to pull audio from, or a track generated from a mood brief) into a beat-synced video — lyric video, slideshow, or…

As a process D 46/100 · Unfinished process — References files that are not bundled: ../hyperframes/references/plugin-installation.md, references/planning.md, references/storyboard-format.md

ProcedureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
C
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
59
Run on models
none yet
Process rating
D
46/100
Unfinished process
References files that are not bundled: ../hyperframes/references/plugin-installation.md, references/planning.md, references/storyboard-format.md
Tools and files w 18
0
Result and completion w 14
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: 80. 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: ../hyperframes/references/plugin-installation.md
  • warning missing-ref reference to a missing file: references/planning.md
  • warning missing-ref reference to a missing file: references/storyboard-format.md
  • warning missing-ref reference to a missing file: references/template-catalog.md
  • warning missing-ref reference to a missing file: sub-agents/frame-worker.md
  • warning missing-ref reference to a missing file: assets/bgm.mp3
  • warning missing-ref reference to a missing file: references/intent-interview.md
  • warning missing-ref reference to a missing file: references/setup-providers.md

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: ../hyperframes/references/plugin-installation.md, references/planning.md, references/storyboard-format.md
  • 0Tools and files. 8 referenced file(s) missing: ../hyperframes/references/plugin-installation.md, references/planning.md, references/storyboard-format.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 4618 tokens
  • 85Steps. 6 steps, 1 vague phrases
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 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)
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 394: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 6 items
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.