Creator · LocalSymmetry
Last updated · Aug 24, 2026
lofn-video
Run the Lofn video/animation pipeline (steps 00–10) backed by Codex — cinematic shot lists and motion/animation prompts (Veo 3.1 formula, synchronized audio). Use for video, film, cinematic clips, animation, animated loops, motion design, or "make a video/animation with the full
Do not auto-install
Install targets
Codex install prompt
Install the "lofn-video" agent skill from https://github.com/LocalSymmetry/lofn/tree/main/.agents/skills/lofn-video. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Run the Lofn video/animation pipeline (steps 00–10) backed by Codex — cinematic shot lists and motion/animation prompts (Veo 3.1 formula, synchronized audio). Use for video, film, cinematic clips, animation, animated loops, motion design, or "make a video/animation with the full pipeline". Covers BOTH live-cinematic and animation. Expects a Phase-0/1 orchestrator packet from the `lofn` skill; if none exists, run `lofn` first. Do NOT use for static images, music-only, story prose, or QA-only audits. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"localsymmetry-lofn-video","task":"Install lofn-video","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design and creative production
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add LocalSymmetry/lofn --skill lofn-video
Maintenance
fresh
Pushed today
Risk
Needs review
License is unclear
GitHub quality
22
55/100 Quality · 64/100 Trust
Coverage tags
Review notes
License is unclear · Repository license is unknown; compliance is unclear.
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
22 GitHub stars
Repo activity
22 stars, 1 forks
Maintenance
Pushed today
License
Unknown
Install
npx skills add LocalSymmetry/lofn --skill lofn-video
Install safety
standard package or runtime install path
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Repository license is unknown; compliance is unclear.
- License is unclear
- Low GitHub adoption signal
- Quality score needs review
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is unclear
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
View technical data+
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Multimodal media workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Read media metadata
Suited agents
Install decision
- Command
- npx skills add LocalSymmetry/lofn --skill lofn-video
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 56/100
- Audit
- 71/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add LocalSymmetry/lofn --skill lofn-videoDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- Repository license is unknown; compliance is unclear.
- No OpenAgentSkill engagement data yet
Agent safety v2
55/100 · Review before install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- License is unclear
Agent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20lofn-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20lofn-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/localsymmetry-lofn-video/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use lofn-video in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20lofn-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/localsymmetry-lofn-video/install
Install command: npx skills add LocalSymmetry/lofn --skill lofn-video
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/localsymmetry-lofn-video/install
LLM text format
/api/skills/localsymmetry-lofn-video/install?format=text
Find alternatives
/api/skills/search?q=lofn-video&limit=3
Agent prompt
Use lofn-video for this task. Review https://www.openagentskill.com/api/skills/localsymmetry-lofn-video/install, then install with: npx skills add LocalSymmetry/lofn --skill lofn-videoRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/localsymmetry-lofn-video
LLM text
/api/registry/manifest/localsymmetry-lofn-video?format=text
Install alias
/api/registry/install/localsymmetry-lofn-video
Recommend
/api/registry/recommend?task=Use%20lofn-video%20in%20an%20agent%20workflow&limit=3
Agent fit
Multimodal media
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
Needs review · 71/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Needs validation for Multimodal media
Do a manual repository review before adding this to an agent workflow.
Role in stack
Needs validation
Primary fit
Multimodal media
Trust label
Needs manual review
Install path
Command ready
Use when
- Multimodal media workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 55/100 quality profile
review first
- Low GitHub adoption signal
- Repository license is unknown; compliance is unclear.
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Multimodal media task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
FIX22 GitHub stars
Stars/forks activity
FIX22 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
CHECKUnknown
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Repository license is unknown; compliance is unclear.
- License is unclear
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 22 GitHub stars
- Stars/forks activity: 22 stars, 1 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Process rich media
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Reduce risk
Security and compliance
I need my agent to scan a project for security risks and summarize what needs attention.
Workflow fit
Add it to a complete workflow
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Brief to publish-ready creative
Video creation
A practical workflow for agents that shape a video brief, create strong multimodal prompts, generate supporting B-roll, and prepare a reviewable short-form or explainer video.
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Overview
--- name: lofn-video description: Run the Lofn video/animation pipeline (steps 00–10) backed by Codex — cinematic shot lists and motion/animation prompts (Veo 3.1 formula, synchronized audio). Use for video, film, cinematic clips, animation, animated loops, motion design, or "make a video/animation with the full pipeline". Covers BOTH live-cinematic and animation. Expects a Phase-0/1 orchestrator packet from the `lofn` skill; if none exists, run `lofn` first. Do NOT use for static images, music-only, story prose, or QA-only audits. ---
# Lofn Video & Animation — Codex-backed director pipeline
> **⚖️ AUTHORITY (2026-07-01):** the `.claude/skills/` twin of this skill is the CANONICAL policy source; this Codex mirror binds to it and to `.agents/skills/lofn/EXECUTION.md` §8 (Policy Deltas — golden-output quarantine, no-skip/NON-CANONICAL, itemized packet, per-pair variation angles, judge separation, the publish bar, gate mid-bands). On any disagreement, the `.claude` file wins.
Produces cinematic shot lists and animation prompts at Lofn competition grade. This one skill covers **both** modalities the user calls "video" and "animation" — same pipeline, with the Veo 3.1 motion/audio formula and the animation archetypes layered on. Depth lives in `skills/video/` and `skills/animator/`; Codex is the engine (hybrid execution per `.agents/skills/lofn/EXECUTION.md`).
## Before you start 1. Confirm a Phase-0/1 packet exists (`core_seed.md`, `04_metaprompt.md`, `05_pair_assignments.md`, `06_director_handoff.md` with the **ICB / Panel Ledger**, filled `CREATIVE_CONTEXT.md`). **No packet → run `lofn` first.** 2. Read the motion/format craft just-in-time: - `skills/animator/SKILL.md` — Veo 3.1 prompt formula, camera language, audio direction, the 6 animation archetypes (Pulse / Morph / Orbit / Parallax / Burst / Flow), loop logic, platform optimization. - `vault/DIRECTOR_QA_DEPTH_AUDIT.md` — the Cinematic Somatic Gate + 5-element shot checklist. 3. **Mode:** *Cinematic* (multi-shot sequence / narrative clip) vs *Animation* (a single 4–8s loop/motion study). The pipeline is the same; in Animation mode each pair's variations are archetype-driven loops and you enforce loop logic (how frame 1 connects to the final frame).
## Execution (hybrid) Coordinator **00–05 inline**, then **6 pairs as parallel subagents** for 06–10. At every agent start inject the full startup packet from `EXECUTION.md` §3 — `CREATIVE_CONTEXT.md` verbatim, the handoff/assignment files, the current step contract, and the prior artifact where applicable. Default cardinality: **6 pairs × 4 = 24 shot-sets / loops → rank → top picks.**
### Coordinator steps (inline) | Step | File | Artifact | |------|------|----------| | 00 | `skills/video/steps/00_Generate_Video_Aesthetics_And_Genres.md` | `step00_aesthetics_and_genres.md` | | 01 | `skills/video/steps/01_Generate_Video_Essence_And_Facets.md` | `step01_essence_and_facets.md` | | 02 | `skills/video/steps/02_Generate_Video_Concepts.md` | `step02_concepts.md` (12 concepts) | | 03 | `skills/video/steps/03_Generate_Video_Artist_And_Critique.md` | `step03_artist_and_critique.md` | | 04 | `skills/video/steps/04_Generate_Video_Medium.md` | `step04_medium.md` | | 05 | `skills/video/steps/05_Generate_Video_Refine_Medium.md` | `step05_refine_medium.md` → **6 pairs** |
### Per-pair steps (parallel subagents, one chain per pair) | Step | File | Per-pair artifact | |------|------|-------------------| | 06 | `skills/video/steps/06_Generate_Video_Facets.md` | `pair_{NN}_step06_facets.md` | | 07 | `skills/video/steps/07_Generate_Video_Aspects_Traits.md` | `pair_{NN}_step07_aspects_traits.md` (shot guide) | | 08 | `skills/video/steps/08_Generate_Video_Generation.md` | `pair_{NN}_step08_generation.md` (4 shot-sets/loops) | | 09 | `skills/video/steps/09_Generate_Video_Artist_Refined.md` | `pair_{NN}_step09_artist_refined.md` | | 10 | `skills/video/steps/10_Generate_Video_Revision_Synthesis.md` | `pair_{NN}_step10_revision_synthesis.md` |
## The video/animation prompt contract (hard gate) Each generation prompt (step 08+) follows the Veo 3.1 formula, one element per concern:
``` [CAMERA] shot type + angle + movement (front-load this — Veo prioritizes framing) [SUBJECT] specific, not generic ("a woman in worn leather jacket, silver rings", not "a person") [ACTION] exactly what happens [SETTING] environment + time + weather/light [STYLE & AUDIO] aesthetic + explicit sound design ``` - **Separate camera from action** (each its own sentence). Describe negative space. - **Audio is directed explicitly** — Dialogue in quotes (`A woman whispers, "I remember everything."`), `SFX:` prefix, `Ambient:` soundscape, `Audio:` music. Layer ambient + SFX (+ optional music) for depth. - **Real film references** allowed for look ("Terrence Malick golden hour"); **no living-artist/actor likeness**, no real victims. - **Animation mode adds loop logic:** name the archetype (Pulse/Morph/Orbit/Parallax/Burst/Flow), set duration (4/6/8s), aspect (9:16 TikTok / 16:9 cinematic), resolution, and state how the loop closes (orbit completes 360°, pulse returns to origin, dolly reverses at midpoint, flow = landmark-free tunnel). - The 6 pairs use **distinct camera grammar / archetypes** — no two pairs default to the same move (the distinctiveness rule).
## QA & delivery Run **lofn-qa** with the **Cinematic Somatic Gate** (`vault/DIRECTOR_QA_DEPTH_AUDIT.md`, 5-element shot checklist). Rank by: opening-second hook → motion clarity → audio-image cohesion → emotional legibility → loop integrity (animation). Save each selected shot-set/loop per `skills/lofn-core/OUTPUT.md` (note intended renderer — Veo 3.1 — and aspect/duration in frontmatter); INDEX last. **Do not call render tools** — emit paste-ready prompt text; the user renders.
Technical details
- Version
- 1.0.0
- License
- Unknown
- Last updated
- Aug 24, 2026
- Published
- Aug 24, 2026
Decision snapshot
Needs validation
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 74/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for lofn-video, ready for a manual X post.
lofn-video: Run the Lofn video/animation pipeline (steps 00–10) backed by Codex — cinematic shot lists an... 22 stars https://www.openagentskill.com/skills/localsymmetry-lofn-video?ref=x
Optional reply with install command
Listing + install path for lofn-video: https://www.openagentskill.com/skills/localsymmetry-lofn-video?ref=x Install: npx skills add LocalSymmetry/lofn --skill lofn-video
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- LocalSymmetry
- Source
- LocalSymmetry/lofn
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to LocalSymmetry but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/localsymmetry-lofn-video)
[](https://www.openagentskill.com/skills/localsymmetry-lofn-video)
[](https://www.openagentskill.com/skills/localsymmetry-lofn-video/audit)
[](https://www.openagentskill.com/skills/localsymmetry-lofn-video)Author
LocalSymmetry
@localsymmetry
Tags
Platform fit
Health signals
- GitHub stars
- 22
- Quality score
- 32/100
- Last GitHub push
- Aug 24, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Do not auto-install
- GitHub adoption22 GitHub starsFIX
- Stars/forks activity22 stars, 1 forks; issue activity unavailable in current metadataFIX
- Recent maintenancePushed todayPASS
- License clarityUnknownCHECK
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskno major dependency risk hints in public metadataPASS
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