Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Mineru98/imaginenpx agentmods add skills/mineru98/imagine/imagine-logoWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mineru98/imagine/imagine-logo)<a href="https://agentmods.dev/skills/mineru98/imagine/imagine-logo"><img src="https://agentmods.dev/badge/skills/mineru98/imagine/imagine-logo/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mineru98/imagine/imagine-logo"><img src="https://agentmods.dev/badge/skills/mineru98/imagine/imagine-logo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00194 | $0.02371 |
| Opus 5 | $0.00097 | $0.01185 |
| Sonnet 5 | $0.00039 | $0.00474 |
| Haiku 4.5 | $0.00019 | $0.00237 |
Grade A, and why
imagine-logo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
imagine-logo
중요: 이 스킬은 시안 탐색용이다. 본격 브랜딩은 전문 디자이너에게 맡기는 것이 맞다. 법적 안전(유사 기존 로고 존재 여부)·상업 사용 적합성 검토는 이 스킬의 범위 밖이다.
트리거
imagine-logo "<회사 또는 컨셉>"/imagine-logo --name "CodeNest"(명시 호출)imagine-logo vectorize ./images/logos/<company>/mark_03.pngimagine-logo compose ./images/logos/<company>/mark_03.png --name "CodeNest"- "로고 만들어줘", "로고 시안 탐색", "회사 로고", "팀 로고", "사이드 프로젝트 로고"
- "imagine-logo"
핵심 분리 계약 — 마크만 AI, 워드마크는 후처리
- 마크(심볼): AI 이미지 모델이 그린다. 회사명 텍스트는 절대 프롬프트에 포함하지 않는다. 마크 프롬프트는 오로지 형태·기하·소재·컨셉만 담는다.
- 워드마크(회사명 글자):
scripts/lib/compose-text.js의compositeText()로 실제 시스템 폰트(기본Pretendard Bold)를 사용해 합성. AI가 글자를 렌더하지 않는다. - 이 분리를 지키지 않으면 "Aeme Cerp" 같은 깨진 글자가 섞여 나오므로 어떤 경우에도 위반하지 않는다.
파이프라인
- 방향성 시안 프롬프트 구성:
--direction-count(기본 4, 허용 3~6)만큼config.direction_catalog에서 방향을 골라 각각 프롬프트 생성. 기본 선택은["geometric","abstract","monogram","organic"].- 모든 프롬프트에
config.mark_style_common(flat, bold edges, no gradient, ..., transparent background) 강제 접미사. - 사용자 회사명 / 슬로건 / CTA 텍스트는 프롬프트에 절대 넣지 않는다.
--palette가 주어지면 HEX 대신 색 이름 구문으로 변환해 주입. 원본 HEX는 Run Manifest에 저장.
- Negative 강제:
text, letters, typography, readable words, watermark, photorealistic, gradient, soft edges, anti-aliasing artifacts(벡터화 품질 보호 포함). - 이미지 생성:
size: 1024x1024PNG 각 방향 1장씩. 공용oauth-session.js·output-allocator.js재사용. - OCR 글자 검출 (선택적):
config.ocr_check.enabled_default: true. 검출 시 1회 자동 재생성 (retry_on_detect_max: 1). 재검출에도 잔존하면 사용자에게 경고와 함께 해당 마크만 "글자 포함 가능성" 라벨로 노출. OCR 엔진 미설치 시 스킵 + 경고. - Manifest 기록: 각 마크에 대해
{ company_name, palette, mark_direction, color_mode }을_manifest.json에 저장. Style Guardian이 아닌 logo card 방식 — 이 스킬 전용 기록이며, 다른 imagine 스킬로 흐르지 않는다. - 워드마크 합성 (
compose): 사용자가 시안 1장을 골라imagine-logo compose <mark.png> --name "CodeNest"를 실행하면compose-text.js로 회사명을 실제 폰트로 조판해<mark>_wordmark.png로 저장. - 벡터화 (
vectorize):imagine-logo vectorize <mark.png>는scripts/lib/vectorize.js의vectorize(imgPath, svgPath)에 위임. 입력 이미지는 반드시flat, bold edges, no gradient를 만족해야 품질이 유지된다(위 마크 생성 프롬프트가 이를 강제). potrace 미설치 시mode: 'passthrough'반환 — PNG가 복사될 뿐이며 "가짜 SVG"는 생성되지 않는다.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 89 lines · 194 tokens per session scan A ea21058d0600
imagine-logo is a skill published in the GitHub repository Mineru98/imagine (5 stars, last pushed 11d ago), licensed MIT. It adds 194 tokens to every session and 2,371 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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