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SKILL verified MIT Self-run

Video Style Edho Ferdian

skill-edhoferdian-eef-video-style-edho-ferdian · by edhoferdian

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Install

$ agentstack add skill-edhoferdian-eef-video-style-edho-ferdian

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-edhoferdian-eef-video-style-edho-ferdian)

Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Video Style — Edho Ferdian Mode

Two phases with one interface between them — the style pack:

  1. Distill — measure reference footage into a pack.

references/distillation.md.

  1. Apply — generate or collect footage, grade and cut it against the

pack, verify, hand off. references/application.md.

The principle everything else follows

Prompting cannot deliver a grade; measurement can. In practice, escalating colour instructions to a video model barely move the result toward a measured target, while a deterministic grade computed from the references lands on it in one pass at no generation cost. So:

  • the generative model supplies **content, motion, framing and lighting

structure**;

  • the pack supplies colour and rhythm.

Generation prompts therefore contain no colour language at all — say "Colour: none. Render neutral. Grading is applied afterwards." — and keep what happens (the brief) separate from how it looks (the style steer), or style words turn into objects ("teal" becomes a teal prop).

Non-negotiables

  • Paid provider calls are opt-in per run. Every stage must have a dry run

that exercises plans, prompts, track layout and manifests without credentials or spending. A live run needs the user's explicit go-ahead and its own opt-in switch, not just an API key in the environment.

  • An ambiguous provider timeout is not retried as a new paid job. Check

the provider's request log first.

  • Verify numerically before claiming the look matches — distribution

shape, not only averages (application.md §6). A good-looking MAE has shipped visibly broken frames.

  • One genre, one pack. Never silently reuse one look's measurements for

another. A measured zero is data; distinguish it from a missing field.

  • Rights. Reference footage and anything lifted from it (stills, plates)

may be someone else's work; confirm the user may use it before minting assets, and never ship another app's UI or someone's burnt-in titles.

  • A render is not a saved project or creative approval. Keep source

assets and versioned project checkpoints; report what was actually saved.

Tooling

No code ships with this skill; the references specify the method precisely enough to implement per project. Typical stack: ffmpeg (decode, cut, composite, re-encode), OpenCV + NumPy (Lab statistics, masks, plates), PySceneDetect (shot boundaries), a LUT writer (.cube), optionally Blender (3D props) and a VLM for the text spec. Resolve current library and provider APIs live before writing against them — model IDs, endpoints and prices drift monthly.

References

  • references/distillation.md — pack layout, the measurements that matter

(zone chroma, median/MAD, contrast, background share), interface masking, adaptive cadence detection, overlay plates, grounding a VLM, LUT baking pitfalls.

  • references/application.md — generating takes not shots, cutting rules,

grading rules, overlays as elements, removing borrowed UI, the 3D branch, numeric verification, and NLE/Blender handoff.

External docs (fixed — see skill-authoring-edho-ferdian's canonical contract)

Before calling a video/image/3D generation provider, PySceneDetect, or the Resolve scripting API, resolve its current interface live (Context7 or the provider's model page) — never from memory. Full contract: skill-authoring-edho-ferdian §9.

Surgical changes (fixed — see skill-authoring-edho-ferdian's canonical contract)

When adjusting an existing pipeline, change only the stage the task names; do not re-measure a cached pack or re-render untouched shots as a side effect. Full contract: skill-authoring-edho-ferdian §10.

Language routing (fixed — see skill-authoring-edho-ferdian's canonical contract)

Communication to the user in Bahasa Indonesia; code, comments, prompts to generation models, and generated files in English — fixed, never ask. Full contract: skill-authoring-edho-ferdian §7.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.