@LocalSymmetry

Kreator · LocalSymmetry

Pembaruan terakhir · 24 Agu 2026

lofn-video

Tinjau · 56Diindeks di Registry

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

Trust Score OpenAgentSkill
56/100

Do not auto-install

Kualitas55/100
Audit71/100
Star22
Verified installs0

Target pemasangan

Prompt pemasangan Codex

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.

Profil aset

Desain dan produksi kreatif

Design assets, images, video, audio, multimodal media, presentation, and creative production skills.

Lihat kategori

Skenario

Multimodal media

I need my agent to process images, video, or audio and extract useful information.

Kecocokan Agent

Claude Code + OpenAI Agents + CLI

Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.

Pasang

Siap

npx skills add LocalSymmetry/lofn --skill lofn-video

Pemeliharaan

Terkini

Diperbarui hari ini

Risiko

Perlu ditinjau

Lisensi tidak jelas

Kualitas GitHub

22

55/100 Kualitas · 64/100 Kepercayaan

Tag cakupan

DesainMultimodal mediaKeamananagent-skill

Catatan ulasan

Lisensi tidak jelas · Repository license is unknown; compliance is unclear.

Kartu adopsi Agent

Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat

Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.

Kualitas

Menjanjikan
55

Useful candidate, but compare it with alternatives before adopting.

Kepercayaan

Do not auto-install
56

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

Audit

Perlu ditinjau
71

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Trust Score OpenAgentSkill v5

Tinjauan manusia sebelum pemasangan

Choose a stronger alternative or inspect the source manually before any install attempt.

CodexClaude CodeCursorOpenAgentSkill CLI

Star

22 star GitHub

Aktivitas repositori

22 star dan 1 fork

Pemeliharaan

Diperbarui hari ini

Lisensi

Tidak diketahui

Pasang

npx skills add LocalSymmetry/lofn --skill lofn-video

Keamanan pemasangan

Jalur pemasangan paket atau runtime standar

Cakupan izin

Akses sistem file atau dokumen

Hasil Agent

Belum ada data hasil Agent

Dokumentasi

Konteks README/SKILL.md kuat

Ringkasan risiko

Tinjau sebelum produksi

  • Repository license is unknown; compliance is unclear.
  • Lisensi tidak jelas
  • Low GitHub adoption signal
  • Quality score needs review

Kesiapan pemasangan

Jalur pemasangan tersedia

  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Lisensi tidak jelas
  • Belum ada bukti hasil Agent-Proven

Metadata yang dapat dibaca Agent

Data keputusan yang dapat dibaca mesin untuk skill ini.

Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.

View technical data+

Tugas yang sesuai

  • alur kerja Multimodal media
  • Tim Claude Code
  • builders willing to evaluate younger projects
  • Read media metadata

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Keputusan pemasangan

Perintah
npx skills add LocalSymmetry/lofn --skill lofn-video
Kebijakan
Tinjau
Tinjauan manusia
Ya

Kepercayaan dan risiko

Kepercayaan
56/100
Audit
71/100
Tingkat risiko
Perlu ditinjau

Lingkar hasil

Endpoint
/api/agent/outcome
ID event
resolve
Hasil
5

Perintah pemasangan

npx skills add LocalSymmetry/lofn --skill lofn-video

Jangan gunakan ketika

  • Tim yang membutuhkan SLA dengan dukungan vendor
  • production agents without a repository review
  • Low GitHub adoption signal
  • Repository license is unknown; compliance is unclear.
  • No OpenAgentSkill engagement data yet

Keamanan Agent v2

55/100 · Tinjau sebelum memasang

EksperimentalTinjau

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Selesaikan via API

Sedang

Akses jaringan

Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.

Sedang

Akses sistem file

Skill dapat membaca atau menulis file proyek, dokumen, artefak yang dihasilkan, atau status workspace lokal.

  • Lisensi tidak jelas

Rencana resolusi Agent

Biarkan Agent memverifikasi kecocokan sebelum memasang.

API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.

Buka rencana teks

Agent harus memeriksa

  • 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.

Salin 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.

Serah-terima Agent

Berikan jalur pemasangan kepada Agent, bukan direktori lain.

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

Buka API pemasangan

Prompt Agent

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-video

Metadata Registry

Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka Manifest

Kecocokan Agent

54/100

Multimodal media

Platform

Claude Code, OpenAI Agents

Laporan audit

Perlu ditinjau · 71/100

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Lihat laporan auditLihat laporan evaluasi

Panel keputusan Agent

Needs validation for Multimodal media

Do a manual repository review before adding this to an agent workflow.

54
Kesiapan
Tinjau
Tahap

Peran di stack

Perlu validasi

Kecocokan utama

Multimodal media

Label kepercayaan

Perlu tinjauan manual

Jalur pemasangan

Perintah siap

Gunakan saat

  • alur kerja Multimodal media
  • Tim Claude Code
  • builders willing to evaluate younger projects

Bukti

  • recent repository activity
  • install command or GitHub repo available
  • profil kualitas 55/100

tinjau dulu

  • Low GitHub adoption signal
  • Repository license is unknown; compliance is unclear.
  • No OpenAgentSkill engagement data yet

Jalur implementasi

  1. 1Pasang di Agent sandbox dan jalankan satu tugas Multimodal media dari awal hingga akhir.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Profil kepercayaan

Do not auto-install

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

56
Trust Score OpenAgentSkill

Adopsi GitHub

Perbaiki

22 star GitHub

Aktivitas star/fork

Perbaiki

22 star dan 1 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

Diperbarui hari ini

Kejelasan lisensi

Periksa

Tidak diketahui

Sinyal positif

  • Tinjauan AI disetujui
  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Repositori yang baru dipelihara
  • Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
  • Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama

Tinjau sebelum memasang

  • Repository license is unknown; compliance is unclear.
  • Lisensi tidak jelas
  • 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
  • Belum ada laporan hasil Agent nyata
  • Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan

Tindakan yang disarankan

Choose a stronger alternative or inspect the source manually before any install attempt.

Profil kualitas

Menjanjikan kandidat untuk alur kerja Agent

Useful candidate, but compare it with alternatives before adopting.

55
Star GitHub
22
Keterkinian
Hari ini
Siap dipasang
Ya
Lisensi
Tidak diketahui
Tinjau sebelum memasang: Low GitHub adoption signal · Repository license is unknown; compliance is unclear.

Kecocokan alur kerja

Gunakan skill ini pada skenario berikut

Kecocokan alur kerja

Tambahkan ke alur kerja lengkap

Daftar alternatif

Bandingkan sebelum memasang

Similar skills that may fit this task.

Bandingkan semua

Ringkasan

--- 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.

Detail teknis

Versi
1.0.0
Lisensi
Unknown
Pembaruan terakhir
24 Agu 2026
Diterbitkan
24 Agu 2026

Ringkasan keputusan

Perlu validasi

54
Siap
Tinjau
Tahap

recent repository activity

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

71
Perlu ditinjau
Keamanan
74/100
Pemeliharaan
100/100
Pasang
92/100
Buka audit lengkapLihat laporan evaluasi

Bukti tervalidasi Agent

Bukti tervalidasi Agent

Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.

0
Terbukti
Needs first agent runPasang otomatis: tinjau duluTerakhir: Tidak diketahui
Tingkat sukses
Kegagalan terbaru
Hasil
0
Kualitas output
Gagal
0
Tidak relevan
0
Pemasangan
0
Diblokir risiko
0
Perlu penyiapan
0
Produksi
0

Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.

Pasang

Tambahkan ke alur Agent

Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.

Siklus pertumbuhan

Kit berbagi

X

Draf berbasis skenario untuk lofn-video, siap untuk posting manual di X.

Catatan kurator
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
Buka draf X
Balasan opsional dengan perintah pemasangan
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
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Diindeks oleh
Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan LocalSymmetry, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/localsymmetry-lofn-video?metric=listed&label=Listed)](https://www.openagentskill.com/skills/localsymmetry-lofn-video)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/localsymmetry-lofn-video?metric=trust&label=Trust)](https://www.openagentskill.com/skills/localsymmetry-lofn-video)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/localsymmetry-lofn-video?metric=audit&label=Audit)](https://www.openagentskill.com/skills/localsymmetry-lofn-video/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/localsymmetry-lofn-video?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/localsymmetry-lofn-video)

Penulis

L

LocalSymmetry

@localsymmetry

Kecocokan platform

Sinyal kesehatan

Star GitHub
22
Skor kualitas
32/100
Push GitHub terakhir
24 Agu 2026
Petunjuk framework
Tidak diketahui
Tampilan OpenAgentSkill
0
Salinan pemasangan
0
Klik keluar
0

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.

Kepercayaan & keamanan

Do not auto-install

56
  • Adopsi GitHub22 star GitHubPerbaiki
  • Aktivitas star/fork22 star dan 1 fork; aktivitas issue tidak tersedia dalam metadata saat iniPerbaiki
  • Pemeliharaan terbaruDiperbarui hari iniLulus
  • Kejelasan lisensiTidak diketahuiPeriksa
  • Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
  • Risiko dependensi/runtimeTidak ada petunjuk risiko dependensi besar dalam metadata publikLulus