Kreator · LocalSymmetry
Pembaruan terakhir · 24 Agu 2026
lofn-music
Run the Lofn music/audio pipeline (steps 00–11) backed by Codex — Suno-ready song packages with two-field style/exclude prompts, EMO-tagged lyrics, song guides. Use for songs, tracks, beats, lyrics, music production briefs, or "write a song with the full pipeline". Expects a Phas
Do not auto-install
Target pemasangan
Prompt pemasangan Codex
Install the "lofn-music" agent skill from https://github.com/LocalSymmetry/lofn/tree/main/.agents/skills/lofn-music. 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 music/audio pipeline (steps 00–11) backed by Codex — Suno-ready song packages with two-field style/exclude prompts, EMO-tagged lyrics, song guides. Use for songs, tracks, beats, lyrics, music production briefs, or "write a song with the full pipeline". Expects a Phase-0/1 orchestrator packet from the `lofn` skill; if none exists, run `lofn` first. Do NOT use for static images, video, 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-music","task":"Install lofn-music","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
Agent pemrograman dan pengembangan
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Skenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
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-music
Pemeliharaan
Terkini
Diperbarui hari ini
Risiko
Perlu ditinjau
Lisensi tidak jelas
Kualitas GitHub
22
55/100 Kualitas · 66/100 Kepercayaan
Tag cakupan
Catatan ulasan
Lisensi tidak jelas · Financial research output is not financial advice; require human review before any live investment decision
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
MenjanjikanUseful candidate, but compare it with alternatives before adopting.
Kepercayaan
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Perlu ditinjauTinjauan 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.
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-music
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 detected as 'Unknown', which creates compliance ambiguity regarding usage and redistribution rights.
- Financial research output is not financial advice; require human review before any live investment decision.
- Lisensi tidak jelas
- Low GitHub adoption signal
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+
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.
Tugas yang sesuai
- Alur kerja Agent riset
- Tim Claude Code
- builders willing to evaluate younger projects
- Sumber pencarian
Agent yang sesuai
Keputusan pemasangan
- Perintah
- npx skills add LocalSymmetry/lofn --skill lofn-music
- Kebijakan
- Tinjau
- Tinjauan manusia
- Ya
Kepercayaan dan risiko
- Kepercayaan
- 58/100
- Audit
- 72/100
- Tingkat risiko
- Perlu ditinjau
Lingkar hasil
- Endpoint
- /api/agent/outcome
- ID event
- resolve
- Hasil
- 5
Perintah pemasangan
npx skills add LocalSymmetry/lofn --skill lofn-musicJangan gunakan ketika
- Tim yang membutuhkan SLA dengan dukungan vendor
- production agents without a repository review
- Low GitHub adoption signal
- Repository license is detected as 'Unknown', which creates compliance ambiguity regarding usage and redistribution rights.
- No OpenAgentSkill engagement data yet
Keamanan Agent v2
52/100 · Hindari pemasangan otomatis
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Sedang
Browser automation
Skill may drive a browser or interact with web pages.
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 JSON
/api/agent/resolve?task=Use%20lofn-music%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20lofn-music%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/localsymmetry-lofn-music/install
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-music in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20lofn-music%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/localsymmetry-lofn-music/install
Install command: npx skills add LocalSymmetry/lofn --skill lofn-music
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.
Serah-terima pemasangan
/api/skills/localsymmetry-lofn-music/install
Format teks LLM
/api/skills/localsymmetry-lofn-music/install?format=text
Cari alternatif
/api/skills/search?q=lofn-music&limit=3
Prompt Agent
Use lofn-music for this task. Review https://www.openagentskill.com/api/skills/localsymmetry-lofn-music/install, then install with: npx skills add LocalSymmetry/lofn --skill lofn-musicMetadata Registry
Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.
API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.
Manifest
/api/registry/manifest/localsymmetry-lofn-music
Teks LLM
/api/registry/manifest/localsymmetry-lofn-music?format=text
Alias pemasangan
/api/registry/install/localsymmetry-lofn-music
Rekomendasikan
/api/registry/recommend?task=Use%20lofn-music%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
Agent riset
Tag use case
Platform
Claude Code, OpenAI Agents
Laporan audit
Perlu ditinjau · 72/100
Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Panel keputusan Agent
Needs validation for Research agents
Do a manual repository review before adding this to an agent workflow.
Peran di stack
Perlu validasi
Kecocokan utama
Agent riset
Label kepercayaan
Perlu tinjauan manual
Jalur pemasangan
Perintah siap
Gunakan saat
- Alur kerja Agent riset
- 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 detected as 'Unknown', which creates compliance ambiguity regarding usage and redistribution rights.
- No OpenAgentSkill engagement data yet
Jalur implementasi
- 1Pasang di Agent sandbox dan jalankan satu tugas Agent riset dari awal hingga akhir.
- 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.
Profil kepercayaan
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Adopsi GitHub
Perbaiki22 star GitHub
Aktivitas star/fork
Perbaiki22 star dan 1 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
LulusDiperbarui hari ini
Kejelasan lisensi
PeriksaTidak 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 detected as 'Unknown', which creates compliance ambiguity regarding usage and redistribution rights.
- Financial research output is not financial advice; require human review before any live investment decision.
- 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.
Kecocokan alur kerja
Gunakan skill ini pada skenario berikut
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Process rich media
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Kecocokan alur kerja
Tambahkan ke alur kerja lengkap
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
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.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Daftar alternatif
Bandingkan sebelum memasang
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Ringkasan
--- name: lofn-music description: Run the Lofn music/audio pipeline (steps 00–11) backed by Codex — Suno-ready song packages with two-field style/exclude prompts, EMO-tagged lyrics, song guides. Use for songs, tracks, beats, lyrics, music production briefs, or "write a song with the full pipeline". Expects a Phase-0/1 orchestrator packet from the `lofn` skill; if none exists, run `lofn` first. Do NOT use for static images, video, story prose, or QA-only audits. ---
# Lofn Music — Codex-backed audio pipeline
Produces Suno/Udio-ready song packages at Lofn competition grade. The creative depth lives in the legacy step files and references under `skills/music/`; this skill runs them with Codex as the engine (hybrid execution per `.agents/skills/lofn/EXECUTION.md`).
## Before you start 1. Confirm a Phase-0/1 packet exists for this run (`core_seed.md`, `04_metaprompt.md`, `05_pair_assignments.md`, `06_audio_handoff.md` with the **ICB / Panel Ledger**, and the filled `CREATIVE_CONTEXT.md`). **No packet → run the `lofn` skill first.** A real 3-panel orchestrator object is a launch prerequisite; do not self-author a shallow one. 2. Read for depth (just-in-time, not all upfront): - `skills/music/references/music_full_legacy.md` — the full tuned pipeline (authoritative) - `skills/music/references/producer_grade_suno_prompt_guide.md` + `vault/SUNO_PROMPT_CONSTRUCTION_GUIDE.md` — prompt construction - `skills/music/references/golden_songs_index.md` — pick/confirm the 2 Golden Songs **by name** in the handoff - `skills/lofn-core/refs/EMOTION_TAXONOMY.md` — the only valid source for EMO emotions - ⛔ **GOLDEN-OUTPUT QUARANTINE (`EXECUTION.md` §3):** the `suno_format_example_*.md` payloads (Triple Arch, Blue Screen, Five Wrong Colors) are **judge-side references only** — QA blind comparison, step 12, the step11-packager. They are NEVER pasted into a generating context (coordinator steps, pair subagents, step 11). An exemplar in the generator's prompt becomes a mold: the run regresses toward a diluted copy of it. Generators get the Golden Seed + the GOLDEN MOVE (below).
## The Golden Move (what generators get INSTEAD of golden songs) The 2026-07-01 regression review distilled why "Triple Arch Over Me" won, as **instructions, not an exemplar**. Every pair receives this block (it also lives in the Phase-1 handoff): 1. **Stand somewhere real.** The song is a report from ONE concrete place the body occupies — name where it stands and what the senses register there. Concept-illustration ("a metaphor about X") is the failure mode; experience-report is the move. If three runs in a row are indoors and safe, go outside. 2. **One wounding fact.** At most ONE numeric/scientific fact is sung, placed at the emotional hinge, and the lyric must RESPOND to it ("It says behold and calculate"), never recite it. All other research stays in the brief as atmosphere. 3. **The turn.** Somewhere past the midpoint, the song contradicts or complicates its opening stance — a mind changing in real time, an argument with itself the ending has to earn. A song that asserts its final emotion from line one is a corpse. 4. **Fear stays braided in.** AWE is terror-adjacent sublime, not domestic reassurance — every awe song carries a clean fear it does not resolve cheaply. 5. **Rotate the register.** Do not default to the house winner's fingerprint (crystalline female soprano / A major / ~110 BPM / frost-and-cosmos palette). Vary key, tempo, vocal register, and sonic world per run unless the personality's YAML mandates them. The house-lexicon FLAG (`vault/gates.yaml`) catches verbatim self-copying; this rule prevents the softer clone. 6. **The surface names its subject (first-listen legibility).** A stranger must be able to retell the song's scene AND subject in one sentence after ONE listen — the subject appears PLAINLY in the lyric at least once (title or an early verse), not only through metaphor. Triple Arch names its sky outright; the depth lives in the RESPONSE to the named thing, never in withholding the referent. Obliqueness about what the song is about is not depth, it is fog (2026-07-01 test slice: an AWE song about a survivor star read as being about a troubled uncle — structurally perfect, emotionally unreachable). Simple surface, complex engine: the cathedral lives UNDER a legible surface, not instead of one. This is the music equivalent of the image lane's thumbnail test, and the Somatic Gate should treat an unnameable subject as `REPAIR — FOG`.
## 🔁 THE RETURN — the sixth Golden Move rule (added 2026-07-24)
*The Scientist, after three consecutive runs: "the lyrical methods avoid rhymes, but aren't adding alliteration, consonance, or fun and interesting audio-written joys. I think it is making the music sound like we're being lectured at."*
Measured against LOFN-PRIME's own archived winners, she was right about the effect and the diagnosis is sharper than the hypothesis:
| | strict end-rhyme | repeated-line ratio | words/line | alliteration /100w | |---|---|---|---|---| | **archive winners** | **0.463** | **0.326** | 6.69 | 14.19 | | 2026-07-24 | 0.210 | 0.181 | 8.30 | 13.36 | | 2026-07-13 | 0.256 | 0.202 | 6.73 | 15.90 | | 2026-07-09 | 0.132 | 0.105 | 5.20 | 10.84 |
**Alliteration was never the problem — it is at parity, and one run beat the winners.** What collapsed was **return**: rhyme returning, and lines returning. We wrote at roughly half the winners' rate of both, in longer and more monosyllabic lines. Long plain declaratives that never come back is the prosody of *prose*, and prose delivered with conviction is a lecture.
**Song is made of returns. Texture is not structure.**
### Measure it with the shipped function, never by eye or by re-derivation `scripts/measure_soundcraft.py` → `profile_file(path)` is **the** definition. `strict_end_rhyme` = last-3-characters of each line's final word recurring within **±4 lines** (`gates.yaml → rhyme_window`). This is stated because three repair agents once reverse-engineered three different windows (±2, ±4, ±7) from a brief that named a threshold without defining it, and each honestly reported "reproduces the baseline exactly" — one song then measured 0.319 against its own window and 0.223 against the canonical one. **Never hand an agent a numeric target without the function that computes it.**
### The Rhyme Debt rule Stripping end-rhyme is a legitimate device — three of the last three runs used rhyme-*decay* as form and it worked. But **removal is not craft; it is a debt.** A pair that strips rhyme MUST name, in its step-05 isolation brief, **what returns in its place**: a refrain that recurs unchanged, a vowel spine, a rhythmic figure, an anaphoric opening, a repeated syntactic frame. *"No full end-rhyme"* with nothing declared opposite it is a **repair**, not a style.
Watch for the tell in a brief: `no rhyme` · `no metaphor` · `no dynamics` · `deliberately unpoetic diction` · `never lifting`. That is five subtractions and zero additions — a pair brief written entirely in negatives will produce a lecture no matter how good the concept is.
### Exact chorus repetition needs no defence `unique_line_ratio_floor` is chorus-exempt **by policy**, yet pair agents kept writing around it — mutating refrains pre-emptively and filing justifications (*"this is the mechanism, not a defect"*, *"recommend HUMAN WAIVE not repair"*). A flag that makes writers apologise for choruses is doing damage even when it never fires. **A byte-identical chorus is correct. Say nothing about it.**
### A PROSODY axis is now mandatory at Phase 0 The 2026-07-24 seed carried five constraint axes and **every one was semantic** (custody act · proof-gap · how the centre empties · apparatus register · temporal stance). Not one was phonetic, and the frames palette's eight LYRIC devices were all rhetorical figures — apophasis, apostrophe, anaphora — with **zero sound devices**. Sound was specified only as removals.
Every seed now carries a **SOUND / RETURN axis** as a positive vocabulary of 4–6 options, e.g.: `hard-consonant spine` · `vowel ladder that climbs across the stanza` · `internal-rhyme chain` · `sprung/uneven stress against a steady pulse` · `refrain that returns exactly` · `refrain that returns one word wrong` · `monosyllabic verse breaking into polysyllabic chorus`. Assign one per pair, distinct, same as any other axis.
## Execution (hybrid) Coordinator **00–05 inline**, then **6 pairs fan out as parallel Codex subagents** for 06–10, then **step 11 enhancement** (1 subagent/pair). Inject the full `CREATIVE_CONTEXT.md` into every step and every subagent (`EXECUTION.md` §3). Default cardinality: **6 pairs × 4 variations = 24 songs.**
### Coordinator steps (inline — you) Run each as its own pass with its own saved canonical artifact (do NOT collapse 00–05 into one):
| Step | File | Output artifact | |------|------|-----------------| | 00 | `skills/music/steps/00_Generate_Music_Aesthetics_And_Genres.md` | `step00_aesthetics_and_genres.md` (50×4 JSON) | | 01 | `skills/music/steps/01_Generate_Music_Essence_And_Facets.md` | `step01_essence_and_facets.md` | | 02 | `skills/music/steps/02_Generate_Music_Concepts.md` | `step02_concepts.md` (12 concepts) | | 03 | `skills/music/steps/03_Generate_Music_Artist_And_Critique.md` | `step03_artist_and_critique.md` | | 04 | `skills/music/steps/04_Generate_Music_Medium.md` | `step04_medium.md` | | 05 | `skills/music/steps/05_Generate_Music_Refine_Medium.md` | `step05_refine_medium.md` → **6 pairs chosen** |
**Step 05 selects INTO the six Phase-1 pair slots, never past them:** Phase 1 owns each slot's arm/genre/verse-structure; step 05 owns which of the 12 concepts fills each slot (**exactly 6** — only the Scientist downsizes, explicitly) and records the runner-up rationale plus the **cut ledger** (one line per losing concept: why it lost + one organ worth harvesting — the reserve bench for `EXECUTION.md` §7.3's REPLACE/REDIRECT routes). For dailies, Step 05 also writes a pair-specific isolation brief (`pair_{NN}_step05_isolated_brief.md`) naming that pair's unique section architecture, rhyme/line logic, hook grammar, and sonic device before any lyric generation.
### Per-pair steps (parallel subagents — one chain per pair) Give each of the 6 pair-subagents its full ICB + pair assignment + these step contracts, and have it produce all five canonical files for its pair:
| Step | File | Per-pair artifact | |------|------|-------------------| | 06 | `skills/music/steps/06_Generate_Music_Facets.md` | `pair_{NN}_step06_facets.md` | | 07 | `skills/music/steps/07_Generate_Music_Song_Guides.md` | `pair_{NN}_step07_song_guides.md` — **opens with the two pre-draft questions:** *Where is the body standing?* and *What could hurt it here?* A guide that can't answer both concretely (place + stake) is not ready to direct; three consecutive runs answering "a kitchen" and "nothing" is itself a repair signal. | | 08 | `skills/music/steps/08_Generate_Music_Generation.md` | `pair_{NN}_step08_generation.md` | | 09 | `skills/music/steps/09_Generate_Music_Artist_Refined.md` | `pair_{NN}_step09_artist_refined.md` | | 10 | `skills/music/steps/10_Generate_Music_Revision_Synthesis.md` | `pair_{NN}_step10_revision_synthesis.md` |
**Daily pair-isolation law:** in daily music, each pair's Steps 05–11 are a separate creative run. Do not let one all-pairs helper, line factory, lyric skeleton, section map, rhyme scheme, hook grammar, or production arc author multiple pairs. The pair may share validators, file writers, and the ICB; it may not share creative bones. If two pairs sound like the same song with nouns swapped, Step 11 marks `REPAIR — PAIR BLEED` and routes the affected pairs back to Step 05 isolated briefs.
**Describe-render self-check (one capped pass, reuses the existing max-3-attempt loop — `EXECUTION.md` §4).** Before a pair returns its step-10 package, it predicts in 2–3 sentences what its Suno prompt would actually **PRODUCE** — the liter
Detail teknis
- Versi
- 1.0.0
- Lisensi
- Unknown
- Pembaruan terakhir
- 24 Agu 2026
- Diterbitkan
- 24 Agu 2026
Ringkasan keputusan
Perlu validasi
recent repository activity
Audit
Tinjauan pemasangan
Tinjauan pemasangan dan adopsi
- Keamanan
- 74/100
- Pemeliharaan
- 100/100
- Pasang
- 92/100
Bukti tervalidasi Agent
Bukti tervalidasi Agent
Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.
- 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
Draf berbasis skenario untuk lofn-music, siap untuk posting manual di X.
A practical pick for design or creative work: lofn-music: Run the Lofn music/audio pipeline (steps 00–11) backed by Codex — Suno-ready song packages with two-field style/exclude pro... 22 stars https://www.openagentskill.com/skills/localsymmetry-lofn-music?ref=x
Balasan opsional dengan perintah pemasangan
Listing + install path for lofn-music: https://www.openagentskill.com/skills/localsymmetry-lofn-music?ref=x Install: npx skills add LocalSymmetry/lofn --skill lofn-music
Sumber listing
Diindeks Registry
Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.
- Kreator
- LocalSymmetry
- Sumber
- LocalSymmetry/lofn
- Diindeks oleh
- Indeks komunitas OpenAgentSkill
Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.
Klaim skill iniKlaim 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.
[](https://www.openagentskill.com/skills/localsymmetry-lofn-music)
[](https://www.openagentskill.com/skills/localsymmetry-lofn-music)
[](https://www.openagentskill.com/skills/localsymmetry-lofn-music/audit)
[](https://www.openagentskill.com/skills/localsymmetry-lofn-music)Penulis
LocalSymmetry
@localsymmetry
Tag
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
- 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
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