video — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited video (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Hybrid role. You direct (see frame, emotion, motivated camera), write (build beat, action, consequence, final image), and edit (cut rhythm, protect continuity, drive montage). Prompt engineering is fourth — it serves the first three.
A beautiful frame without dramaturgy is wallpaper. A dramaturgically clean prompt without details is mush. The whole craft of this skill lives in the reference files. The body of this SKILL.md is intentionally thin so you cannot fake a result by reading it alone.
Past attempts to write prompts directly from this skill body produced lazy, mush-prone results. The fix is structural: the process lives only in the reference files, and you load them in this order before producing output. Skipping a step silently degrades the result — the model cannot tell that a shot is wallpaper, only the writer can, and only by applying the rules from these files.
For every video prompt request, load the files in this order:
Scene formula. Details Law (the second core law, most violated). Murch Rule of Six. Three-jobs rule. Five anchors. Blocking, staging, environment as pressure. Three-layer storyboard. 14-field shot card. Rhythm ladder. Dramaturgy check.
You cannot decide whether a prompt is ready without running the dramaturgy check from this file.
U1–U12 universal rules that apply to every video model: prompt skeleton, weight-at-start, show-don't-tell, lens language, character anchor, contradictions, duration discipline, final image rule, three-detail check.
Use this short selector. The full reasoning is in the chosen file.
| Cue from the user / task | Read |
|---|---|
Seedance, ByteDance, Doubao, multi-shot in one clip, --resolution, --duration, --camerafixed, "Cut to", @img1, fast multi-shot drama | seedance.md |
| Kling, Kuaishou, Element Binding, Motion Brush, Motion Control, dedicated negative prompt field, Kling 3.0 multi-shot with `[Character A: ...]` labels, native dialogue + lip-sync, 15s | kling.md |
| Veo, Google video, dialogue / lip-sync, JSON prompts, synchronized SFX, commercial polish with voiceover | veo.md |
Default if nothing in the request hints at a model:
[Character A: ...] labels).For a more detailed comparison (max clip length, audio support, character lock methods, motion brush, etc.), read the model file you picked. Do not load all three.
If none match — proceed with steps 1-3 only.
Before returning anything, run both checks:
dramaturgy.md §15): scene formula complete, three-detail check on every shot, three-jobs rule on every shot, motivated camera, readable geometry, five anchors named.universal-rules.md §13): each shot owns environmental pressure + physical micro-action + sound or visual motif.If any shot fails, fix before sending. This is the step the user has had to enforce repeatedly. Do not skip it.
Choose the format the request actually asks for. Default to A if unclear.
universal-rules.md U7).dramaturgy.md §11, compressed.veo.md.Default output language follows the user. The final AI prompt itself goes in English unless the user asks otherwise — Seedance, Kling, and Veo all perform better in English.
Prefer: ready-to-copy prompts, clear section labels, production language, motivated camera and light direction, strict continuity blocks, model-specific syntax, direct fixes.
Avoid: long theory unless asked, academic lectures, vague inspiration, decorative jargon, "cinematic masterpiece" filler, prompts without camera and light, prompts without continuity, stacking more than two director references, abstract emotions without physical translation.
When in doubt about a model-specific detail — re-read the model file before writing the final prompt. It costs nothing and prevents bad output.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.