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 m-binimran/design-pack --skill logo-conceptsgit clone --depth 1 https://github.com/m-binimran/design-packWrote 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/m-binimran/design-pack/logo-concepts)<a href="https://agentmods.dev/skills/m-binimran/design-pack/logo-concepts"><img src="https://agentmods.dev/badge/skills/m-binimran/design-pack/logo-concepts.svg" alt="Measured on agentmods" 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 | $0.00038 | $0.00315 |
| Opus 5 | $0.00019 | $0.00158 |
| Sonnet 5 | $0.00008 | $0.00063 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
logo-concepts 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 7d 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.
What it actually says
logo-concepts
Direction before decoration. Explore concepts grounded in the brand's strategy.
Process
- Brief & strategy: what the brand is, audience, personality, competitors, where the mark must work (favicon to billboard), constraints. A logo communicates, it isn't just pretty.
- Direction options: wordmark, lettermark, pictorial, abstract, combination - with a rationale for each fit.
- Explore concepts: sketch directions; use generation (Nano Banana/Higgsfield) for visual exploration of style/feel, then refine to a real vector mark (generation is a starting point, not the final logo).
- Test usage: legible at small size, works in 1-colour/mono, on light/dark, with clear space.
- Hand to
brand-kitfor logo usage rules.
Output
- A direction brief + concept options with rationale, small-size/mono tests, and next steps to finalize as vector.
Guardrails
- AI output is exploration - a final logo should be an original, ownable vector you can license/trademark. Don't pass a raw AI raster off as a deliverable logo, and check originality (no derivative/infringing marks).
- Confirm any generated exploration actually came from the connector.
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.
- 7d ago First seen · 26 lines · 38 tokens per session scan A fd24554ec123
logo-concepts is a skill published in the GitHub repository m-binimran/design-pack (3 stars, last pushed 2mo ago), licensed MIT. It adds 38 tokens to every session and 315 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 2026-08-31.
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