CC ffmpeg-skill
Edit video and audio with local FFmpeg from natural-language requests: cut, trim, join, resize/reframe (9:16, 1:1), speed change, captions and subtitles (SRT/ASS, animated, karaoke), logos and text overlays, lower-thirds and titles, silence removal, multicam and external-mic sync, loudness normalisation, HDR/Dolby Vision to SDR, LUTs, background music with ducking, platform exports (YouTube, Reels, TikTok, X), compliance checks, scene detection and highlight reels, contact sheets to inspect results, and whole-edit project files. Use this skill whenever the user mentions a video or audio file (mp4, mov, mkv, wav, m4a), footage, a clip, captions, subtitles, a reel or short, YouTube/Instagram/TikTok delivery, LUFS, sync, transcoding, ffmpeg, or asks to make something "60 seconds", "vertical", "louder", "captioned" — even when they do not say "edit". Python 3.10+ standard library only (3.9 deprecated), no cloud, no API keys.
Edit video and audio with local FFmpeg from natural-language requests: cut, trim, join, resize/reframe (9:16, 1:1), speed change, captions and subtitles…
As a process C 52/100 · Has gaps — References files that are not bundled: references/gotchas.md, references/gotchas.md, references/gotchas.md
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- The text references files that are not there: add them or drop the references.
- 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: 34. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 7170 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: references/gotchas.md - warning
missing-refreference to a missing file: references/gotchas.md - warning
missing-refreference to a missing file: references/gotchas.md - warning
missing-refreference to a missing file: references/gotchas.md - warning
missing-refreference to a missing file: references/gotchas.md - warning
missing-refreference to a missing file: references/gotchas.md - warning
missing-refreference to a missing file: references/gotchas.md - warning
missing-refreference to a missing file: references/gotchas.md - warning
missing-refreference to a missing file: references/gotchas.md - warning
missing-refreference to a missing file: references/gotchas.md - warning
missing-refreference to a missing file: references/gotchas.md - warning
missing-refreference to a missing file: references/gotchas.md - warning
missing-refreference to a missing file: references/gotchas.md - warning
missing-refreference to a missing file: references/scripts.md - warning
missing-refreference to a missing file: references/devices.md - warning
missing-refreference to a missing file: references/gotchas.md - warning
missing-refreference to a missing file: scripts/*.py - warning
missing-refreference to a missing file: references/gotchas.md
Process rating: all ten parameters 52/100
- 0Tools and files. 18 referenced file(s) missing: references/gotchas.md, references/gotchas.md, references/gotchas.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 14 mutating operations with no state check
- 70Execution cost. Instruction body is 7170 tokens
- 100Steps. 38 steps
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 3 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low The response is described with custom markup (4 tags): a typed call is more reliable
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 934: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -44 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +4Structure: 8 headings
- +3Step-by-step instructions: 38 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.