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 DKeken/codex-skills-alternative --skill creative-moodboardgit clone --depth 1 https://github.com/DKeken/codex-skills-alternativeWrote 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/dkeken/codex-skills-alternative/creative-moodboard)<a href="https://agentmods.dev/skills/dkeken/codex-skills-alternative/creative-moodboard"><img src="https://agentmods.dev/badge/skills/dkeken/codex-skills-alternative/creative-moodboard/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/dkeken/codex-skills-alternative/creative-moodboard"><img src="https://agentmods.dev/badge/skills/dkeken/codex-skills-alternative/creative-moodboard.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 | $0.00101 | $0.01018 |
| Opus 5.5 | $0.00040 | $0.00407 |
| Sonnet 5.5 | $0.00020 | $0.00204 |
| Haiku 4.5 | $0.00010 | $0.00102 |
Grade A, and why
creative-moodboard 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 1mo 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creative — Mood Board Explorer
Create shared visual language so a team can agree before anyone produces final creative. The output is a board to react to and sign off on — not finished assets. Bigger and more exploratory than creative-explore: each "territory" is a coherent world, shown with multiple tiles.
When to use
- Multiple stakeholders need to align on aesthetic before spend.
- Kicking off a brand or rebrand and the visual world is undefined.
- You want a durable reference artifact the whole team points back to.
When NOT to use
- Solo/fast project, just need to pick a look →
creative-explore(lighter). - Direction already signed off → go straight to
creative-scene/creative-shot. - You're connecting strategy to visuals specifically →
creative-positioning.
Inputs (ask only what's missing)
- Brand/product + the decision this board must unblock.
- Audience + emotional target.
- Existing assets / competitor refs to anchor or avoid.
Workflow
- Define 2-4 named territories (e.g. "Warm Analog", "Clinical Precision", "Street Energy"). Each is a mood, not a single image — distinct enough to force a real choice.
- For each, specify: palette swatches, texture/material language, typography feel, photography style, motion feel (if relevant).
- Generate 4-6 tiles per territory with your image tool, deliberately varied within the territory: one hero shot, one texture macro, one product-in-context, one type-in-situ, one color study. Keep prompt DNA consistent within each territory. Save to
./creative/moodboard/<territory>/tile-NN.png. - Assemble a markdown board grouping tiles per territory, each with a "what this means for the brand" paragraph.
- Drive a decision: ask the team to pick one territory or explicitly fuse two. Pass the winner to
creative-explore/creative-scene.
Worked example
Brand: a fintech app for freelancers. Decision to unblock: "does the brand feel friendly or serious?"
## Territory 1 — "Calm Confidence"
palette: deep navy / soft sage / warm white texture: matte paper, subtle grain
type: humanist sans (geometric but warm) photo: clean desks, soft daylight
motion: slow, settled
tiles: [hero-dashboard][paper-macro][desk-context][type-sample][palette]
reads as: trustworthy without being cold — "your money is handled"
## Territory 2 — "Bold Operator"
palette: ink black / electric lime / concrete grey texture: hard edges, mono type
type: grotesk, tight, uppercase accents photo: high-contrast, urban
motion: snappy, decisive
tiles: [hero][texture][context][type][palette]
reads as: for freelancers who hustle — "move fast, get paid"
Recommendation: T1 if target skews established professionals; T2 if early-career creators. → user picks T1, pass to creative-explore to refine.
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.
- 1mo ago First seen · 68 lines · 101 tokens per session scan A ff74c4ae05a8
creative-moodboard is a skill published in the GitHub repository DKeken/codex-skills-alternative (15 stars, last pushed 4mo ago), licensed MIT. It adds 101 tokens to every session and 1,018 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-30.
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