Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ur-grue/autopunk-media-skills --skill mood-board-briefgit clone --depth 1 https://github.com/ur-grue/autopunk-media-skillsWrote 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/ur-grue/autopunk-media-skills/mood-board-brief)<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/mood-board-brief"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/mood-board-brief/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/ur-grue/autopunk-media-skills/mood-board-brief"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/mood-board-brief.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.02139 |
| Opus 5 | $0.00023 | $0.01069 |
| Sonnet 5 | $0.00009 | $0.00428 |
| Haiku 4.5 | $0.00005 | $0.00214 |
Grade A, and why
mood-board-brief 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 8d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mood Board Brief
What This Skill Does
Writes a structured mood board brief for a visual project — a document that specifies visual references, tone, palette, texture, and the visual language a designer, photographer, or AI image generator should work within.
When To Use This Skill
- You are briefing a designer, photographer, or videographer on the visual direction of a project and need a written brief they can work from
- You are creating a series of AI-generated images and need a consistent visual brief to use across multiple prompting sessions
- You are starting a new show, series, or publication and need to establish and document the visual identity before production begins
- You want to communicate a visual direction to a collaborator who has not seen your reference images
What You Need To Provide
Required:
- The project name and a brief description (what it is, who it is for)
- The subject matter or content domain (e.g., investigative journalism, cooking, travel, true crime)
- The emotional tone you want the visuals to convey
Optional:
- Named references: specific films, photographers, art movements, publications, or brands whose visual language you want to approach or avoid
- Color direction (even vague — "warm and earthy," "cold and minimal," "high-contrast black and white")
- Intended use (social media, cover art, YouTube thumbnails, editorial illustration)
- Audience demographic (helps calibrate sophistication and register of the visual language)
- Things you definitely do not want (generic stock photo look, overly polished, too dark, too corporate)
How the Assistant Approaches This
- Synthesizes the inputs into a clear visual position statement — a one-paragraph description of the visual world this project inhabits
- Specifies the five core visual dimensions: Lighting, Color Palette, Texture & Surface, Composition Tendencies, and Subject-Camera Relationship
- Lists three to five specific reference points — named films, photographers, publications, or art works — with a one-sentence explanation of exactly what quality in each reference is being cited (not just the name)
- Lists two to three things the visual language explicitly is not — negative space that helps a designer understand the exact register being targeted
- Closes with a brief brief for AI prompting: a short anchor phrase that can be added to any image prompt to keep all generated images within the same visual world
- After the brief, provides a "Next Step" note: share the document with any collaborator (designer, photographer, or AI prompter) before starting work, test the AI Prompt Anchor immediately with a cinematic-shot-prompt or editorial-photo-prompt run, and confirm the reference points are known to all collaborators before production begins
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.
- 8d ago First seen · 132 lines · 47 tokens per session scan A 70ddb9f03b38
mood-board-brief is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 47 tokens to every session and 2,139 once invoked, about $0.0002 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 2026-09-04.
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