제작자 · LocalSymmetry
최근 업데이트 · 2026년 8월 24일
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
설치 대상
Codex 설치 프롬프트
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.공급 자산 프로필
코딩 및 개발 Agent
코드 리뷰, 저장소 분석, 테스트, CI, GitHub, DevOps 및 개발 워크플로용 스킬입니다.
시나리오
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent 적합도
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI 또는 맞춤형 Agent에 적합합니다.
설치
준비됨
npx skills add LocalSymmetry/lofn --skill lofn-music
유지보수
최신
오늘 푸시됨
위험
검토 필요
라이선스가 명확하지 않습니다
GitHub 품질
22
55/100 품질 · 66/100 신뢰
커버리지 태그
검토 메모
라이선스가 명확하지 않습니다 · Financial research output is not financial advice; require human review before any live investment decision
Agent 채택 스코어카드
신뢰, 감사, 설치 준비 상태를 한눈에 확인하세요
이 점수는 공개 저장소 메타데이터, OpenAgentSkill 검토 신호, 유지보수 최신성, 설치 준비 상태를 결합합니다. 후보 선정 신호일 뿐, 사람의 검토를 대체하지 않습니다.
품질
유망유용한 후보이지만 채택 전에 대안과 비교하세요.
신뢰
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
감사
검토 필요설치 준비 상태, 보안 메타데이터, 유지보수 및 채택 위험에 대한 기계 판독형 검토입니다.
OpenAgentSkill 신뢰 점수 v5
설치 전 사람 검토
Choose a stronger alternative or inspect the source manually before any install attempt.
스타
GitHub 스타 22
저장소 활동
스타 22, 포크 1
유지보수
오늘 푸시됨
라이선스
알 수 없음
설치
npx skills add LocalSymmetry/lofn --skill lofn-music
설치 안전성
표준 패키지 또는 런타임 설치 경로
권한 범위
파일 시스템 또는 문서 접근
Agent 결과
아직 Agent 결과 데이터가 없습니다
문서
README/SKILL.md 맥락이 충분합니다
위험 요약
프로덕션 전 검토
- 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.
- 라이선스가 명확하지 않습니다
- Low GitHub adoption signal
설치 준비 상태
설치 경로 사용 가능
- 설치 경로를 사용할 수 있습니다
- 저장소 근거를 사용할 수 있습니다
- 라이선스가 명확하지 않습니다
- 아직 Agent 검증 결과 근거가 없습니다
Agent 읽기용 메타데이터
이 스킬의 기계 판독형 의사결정 데이터.
이 블록 또는 포함된 JSON을 사용해 Agent가 이 스킬을 설치할지, 대안을 고를지, 먼저 사람의 검토를 요청할지 판단할 수 있습니다.
View technical data+
Agent 읽기용 메타데이터
이 스킬의 기계 판독형 의사결정 데이터.
이 블록 또는 포함된 JSON을 사용해 Agent가 이 스킬을 설치할지, 대안을 고를지, 먼저 사람의 검토를 요청할지 판단할 수 있습니다.
적합한 작업
- 리서치 Agent 워크플로
- Claude Code 팀
- builders willing to evaluate younger projects
- 검색 소스
적합한 Agent
설치 결정
- 명령어
- npx skills add LocalSymmetry/lofn --skill lofn-music
- 정책
- 검토
- 사람 검토
- 예
신뢰와 위험
- 신뢰
- 58/100
- 감사
- 72/100
- 위험 수준
- 검토 필요
결과 루프
- 엔드포인트
- /api/agent/outcome
- 이벤트 ID
- resolve
- 결과
- 5
사용하지 말아야 할 경우
- 벤더 지원 SLA가 필요한 팀
- 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.
- 아직 OpenAgentSkill 사용 피드백 데이터가 없습니다
Agent 안전 v2
52/100 · 자동 설치 피하기
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
중간
Browser automation
Skill may drive a browser or interact with web pages.
중간
네트워크 접근
Skill은 원격 페이지, API, 저장소 또는 외부 서비스에 접근할 수 있습니다.
중간
파일 시스템 접근
Skill은 프로젝트 파일, 문서, 생성 산출물 또는 로컬 작업 공간 상태를 읽거나 쓸 수 있습니다.
- 라이선스가 명확하지 않습니다
Agent 해결 계획
설치 전에 Agent가 적합성을 검증하게 하세요.
Resolve API는 최우선 스킬, 대안, 안전 정책, 감사 메모, 설치 대상 및 Agent가 페이지를 스크래핑하지 않고 사용할 수 있는 프롬프트를 반환합니다.
JSON 열기
/api/agent/resolve?task=Use%20lofn-music%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 텍스트
/api/agent/resolve?task=Use%20lofn-music%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
설치 핸드오프
/api/skills/localsymmetry-lofn-music/install
Agent가 확인할 항목
- Resolve API에서 작업 적합도와 대안을 확인합니다.
- 감사 점수, 신뢰 점수 및 안전 정책 경고를 확인합니다.
- Codex, Claude Code, Cursor 또는 CLI의 설치 대상 호환성을 확인합니다.
프롬프트 복사
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.Agent 핸드오프
또 다른 디렉터리 페이지 대신 설치 경로를 Agent에게 제공합니다.
공개 설치 엔드포인트에서 명령어, 안전 체크리스트, 대상 프롬프트와 정규 링크를 가져옵니다.
설치 핸드오프
/api/skills/localsymmetry-lofn-music/install
LLM 텍스트 형식
/api/skills/localsymmetry-lofn-music/install?format=text
대안 찾기
/api/skills/search?q=lofn-music&limit=3
Agent 프롬프트
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-musicRegistry 메타데이터
자동 스킬 선택을 위한 Agent 읽기용 프로필.
Registry API를 통해 동일한 결정, 신뢰, 감사, 사용 사례, 설치 신호를 제공하므로 Agent가 UI를 스크래핑하지 않고도 순위를 매길 수 있습니다.
Manifest
/api/registry/manifest/localsymmetry-lofn-music
LLM 텍스트
/api/registry/manifest/localsymmetry-lofn-music?format=text
설치 별칭
/api/registry/install/localsymmetry-lofn-music
추천
/api/registry/recommend?task=Use%20lofn-music%20in%20an%20agent%20workflow&limit=3
Agent 적합도
리서치 Agent
플랫폼
Claude Code, OpenAI Agents
Agent 결정 패널
Needs validation for Research agents
Agent 워크플로에 추가하기 전에 저장소를 수동으로 검토하세요.
스택 내 역할
검증 필요
주요 적합도
리서치 Agent
신뢰 라벨
사람 검토 필요
설치 경로
명령어 준비됨
사용 시점
- 리서치 Agent 워크플로
- Claude Code 팀
- builders willing to evaluate younger projects
근거
- 최근 저장소 활동
- 설치 명령 또는 GitHub 저장소를 사용할 수 있습니다
- 품질 프로필 55/100
먼저 검토
- Low GitHub adoption signal
- Repository license is detected as 'Unknown', which creates compliance ambiguity regarding usage and redistribution rights.
- 아직 OpenAgentSkill 사용 피드백 데이터가 없습니다
구현 경로
- 1샌드박스 Agent에 설치하고 리서치 Agent 작업을 처음부터 끝까지 한 번 실행하세요.
- 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.
신뢰 프로필
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub 채택도
수정GitHub 스타 22
스타/포크 활동
수정스타 22, 포크 1; 현재 메타데이터에서 이슈 활동을 확인할 수 없습니다
최근 유지보수
통과오늘 푸시됨
라이선스 명확성
확인알 수 없음
긍정 신호
- AI 검토 승인됨
- 설치 경로를 사용할 수 있습니다
- 저장소 근거를 사용할 수 있습니다
- 최근 유지보수된 저장소
- 설치 명령에서 뚜렷한 고위험 패턴이 발견되지 않았습니다
- 결과 루프는 준비되었지만 첫 실제 Agent 실행이 필요합니다
설치 전 검토
- 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.
- 라이선스가 명확하지 않습니다
- 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
- 아직 실제 Agent 결과 보고서가 없습니다
- 무인 설치 전에 사람 검토가 필요합니다
권장 작업
Choose a stronger alternative or inspect the source manually before any install attempt.
품질 프로필
유망 Agent 워크플로용 후보
유용한 후보이지만 채택 전에 대안과 비교하세요.
워크플로 적합도
이 스킬을 사용할 시나리오
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.
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Find, compare, and synthesize
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개요
--- 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
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lofn-music용 시나리오 기반 초안입니다. X에 수동으로 게시할 수 있습니다.
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
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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
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[](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)작성자
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