Borrowing it
Nothing to install: this file belongs to frankxai/Starlight-Intelligence-System. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/frankxai/Starlight-Intelligence-System/main/.claude/commands/build-brand-kit.mdgit clone --depth 1 https://github.com/frankxai/Starlight-Intelligence-SystemWrote 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/commands/frankxai/starlight-intelligence-system/build-brand-kit)<a href="https://agentmods.dev/commands/frankxai/starlight-intelligence-system/build-brand-kit"><img src="https://agentmods.dev/badge/commands/frankxai/starlight-intelligence-system/build-brand-kit/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/commands/frankxai/starlight-intelligence-system/build-brand-kit"><img src="https://agentmods.dev/badge/commands/frankxai/starlight-intelligence-system/build-brand-kit.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 | $0.00075 | $0.02447 |
| Opus 5 | $0.00037 | $0.01223 |
| Sonnet 5 | $0.00015 | $0.00489 |
| Haiku 4.5 | $0.00007 | $0.00245 |
Grade A, and why
build-brand-kit 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 11d 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 — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/build-brand-kit
Load SIP.md, VOICES.md, agents/starlight-visionary.md, skills/vision/design-coherence.md. Assemble a coherent Brand Kit grounded in the person's Genius Profile + Vision Architecture. Hand off to /align-voice for voice coherence enforcement on future content.
Input
$ARGUMENTS
When this command fires
- Genius Profile exists at
genius/profile-<slug>.md - Vision Architecture exists at
vision/vision-<slug>.md - The person is ready to install a brand that compounds across every surface
When this command does NOT fire
- No Genius Profile → halt and route to
/discover-genius - No Vision Architecture → halt and route to
/define-vision(vision drives mood; brand without vision drifts) - Single-asset request (one logo, one post) → use
frankx-brand/brand-voice/infogeniusdirectly - Existing brand kit in place → use
/align-voiceto audit, not re-build
Process
-
Load upstream.
- Resolve
<person-slug>. - Load
genius/profile-<slug>.md,genius/freedom-path-<slug>.md,vision/vision-<slug>.md. - If any missing, halt and route to the appropriate upstream command.
- Parse optional
--stylehint. Style biases mood derivation but never overrides genius-derived voice.
- Resolve
-
Check for @arcanea/design-system pattern.
- If
integrations/starter-packs/friend-starter/or an adopter's repo contains a@arcanea/design-systemreference, note it. Brand Kit outputs integrate with that system's token format where present (CSS variables, design tokens JSON). - If absent, emit standalone Brand Kit. Do not fabricate integration.
- If
-
Derive positioning statement.
- From Genius Profile's cross-domain synthesis + Vision Architecture's 10-year horizon.
- Format: "For who , <person/brand> is the that , because ."
- One sentence. If it runs more than two lines, rework.
-
Author voice rules (6–10).
- Derive from Genius Profile voice samples. Every rule cites a voice sample.
- Examples of rule shapes:
- "First-person only. Never corporate-we. (cf. sample #2)"
- "No listicles. One framework per piece. (cf. sample #1, #4)"
- "Register: . Not: . (cf. sample #3)"
- Rules that cannot cite a sample are deleted.
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.
- 11d ago First seen · 204 lines · 75 tokens per session scan A 33950ff022db
build-brand-kit is a command published in the GitHub repository frankxai/Starlight-Intelligence-System (8 stars, last pushed today), licensed MIT. It adds 75 tokens to every session and 2,447 once invoked, about $0.0004 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.
Other commands, from other repositories
design-review
Compare design (Figma URL or mockup image) against implementation to detect UI mismatches (colors, layout, typography).
memories
View and manage learned memories.
mpm-session-resume
Load context from paused session.
forget
Delete specific memories.
learn
Add new learning to memory.
gbu-retro
Post-session retrospective — harvest this session's lessons into durable doctrine.