# Video Style Edho Ferdian

> >-

- **Type:** Skill
- **Install:** `agentstack add skill-edhoferdian-eef-video-style-edho-ferdian`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [edhoferdian](https://agentstack.voostack.com/s/edhoferdian)
- **Installs:** 0
- **Category:** [Developer Tools](https://agentstack.voostack.com/c/developer-tools)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [edhoferdian](https://github.com/edhoferdian)
- **Source:** https://github.com/edhoferdian/EEF/tree/main/.agents/skills/video-style-edho-ferdian

## Install

```sh
agentstack add skill-edhoferdian-eef-video-style-edho-ferdian
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## 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`.
2. **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.

- **Author:** [edhoferdian](https://github.com/edhoferdian)
- **Source:** [edhoferdian/EEF](https://github.com/edhoferdian/EEF)
- **License:** MIT

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

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-edhoferdian-eef-video-style-edho-ferdian
- Seller: https://agentstack.voostack.com/s/edhoferdian
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
