higgsfield-facs SKILL.md skillA
higgsfield-facs from osidemedia/higgsfield-ai-prompt-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add osidemedia/higgsfield-ai-prompt-skill/higgsfield-facs@v1.1.2Pins v1.1.2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- osidemedia/higgsfield-ai-prompt-skill
- Path
skills/higgsfield-facs/SKILL.md- Versions recorded
- 5
- Latest version
- v1.1.2, committed Sep 27, 2026
- First version recorded
- Jul 6, 2026
- Size
- 27,393 bytes
- Repository stars
- 769
- License
- MIT
Controls facial expressions in Seedance 2.0 with FACS (Facial Action Coding System) Action Unit codes — muscle-level direction (AU12 = lip-corner puller, AU6 = cheek raiser) instead of emotion labels. Use whenever the user wants precise facial acting, a forced/uncanny/mixed expression, micro-performance in a close-up, monologue or dialogue facial beats, a 'which AU code for anger/fear/disgust' answer, or to generate a FACS reference sheet for a character. Pairs with higgsfield-soul…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Higgsfield FACS Director Direct a face the way an animator does — by **muscle**, not by mood. FACS (the Facial Action Coding System) names each facial movement as an **Action Unit**: `AU12` is the lip-corner puller (smile), `AU6` is the cheek raiser, `AU4` is the brow lowerer. Put those codes in a Seedance 2.0 prompt and the model renders the corresponding action. It is the highest-resolution facial control available on the platform, and it is where forced smiles, uncanny faces, mixed emotions, and honest micro-performance in close-up dialogue come from. > **This skill is a facial-control layer on top of `../higgsfield-seedance/SKILL.md`.** > Every FACS prompt is still a Seedance prompt — six-slot formula, Prompt-Craft > Laws, preflight linter. FACS only changes *how you specify the face*: AU codes > instead of (or alongside) emotion words. It is the muscle-level case of the > Voice Rewrite rule "describe physics, not emotion." ## QUICK FACTS *Routing aids — read the linked sections for the actual rules.* - FACS = facial expressions as **Action Unit codes** (muscle movements), not emotion labels; you write the codes into the prompt [→](#what-facs-is) …
Read the whole file at its exact version.
How to install
mdr add osidemedia/higgsfield-ai-prompt-skill/higgsfield-facs@sha256:297bb34099e3bd51The line at the top of this page pins the label v1.1.2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_6ya6o7dtrl7ujybj)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jul 6, 2026 and Sep 27, 2026, about one every 21 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1.2 latest | 2026-09-27 | 23c22b4 | 27,393 B | A | view · diff |
| v1.1.1 | 2026-09-27 | ba483ae | 27,377 B | A | view · diff |
| v1.1.1 | 2026-07-26 | 7361064 | 27,370 B | A | view · diff |
| v1.1.0 | 2026-07-26 | a5137ab | 27,022 B | A | view · diff |
| v1.0.0 | 2026-07-06 | 05f2e09 | 22,753 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (27393 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
osidemedia/higgsfield-ai-prompt-skill · 769 stars · license MIT · pushed 2026-09-27 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_6ya6o7dtrl7ujybj GET https://markdownregistry.com/api/v1/resolve?ref=osidemedia/higgsfield-ai-prompt-skill/higgsfield-facs GET https://markdownregistry.com/api/v1/blob/297bb34099e3bd51236e23700676c404752ef9f68cbe48c50ae9b384151c65a7
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.