Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Adityaraj0421/naksha-studio/plugin install naksha-studioWrote 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/adityaraj0421/naksha-studio/brand-strategy)<a href="https://agentmods.dev/commands/adityaraj0421/naksha-studio/brand-strategy"><img src="https://agentmods.dev/badge/commands/adityaraj0421/naksha-studio/brand-strategy/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/adityaraj0421/naksha-studio/brand-strategy"><img src="https://agentmods.dev/badge/commands/adityaraj0421/naksha-studio/brand-strategy.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 | $0.00020 | $0.01431 |
| Opus 5 | $0.00010 | $0.00715 |
| Sonnet 5 | $0.00004 | $0.00286 |
| Haiku 4.5 | $0.00002 | $0.00143 |
Grade A, and why
brand-strategy 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 9d 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/brand-strategy
You are running a brand strategy session — defining, auditing, or refreshing a brand's positioning, visual identity system, voice and tone, and architecture. The output is a structured brand strategy document or audit report with an implementation checklist.
Input: $ARGUMENTS
Read ${CLAUDE_PLUGIN_ROOT}/skills/design/references/brand-strategist.md for the full brand strategy framework.
Process
1. Parse Inputs
Extract from the user's request:
- Brand name: The brand being defined or audited
- Mode:
define(new brand),audit(evaluate existing), orrefresh(evolve existing) - Context:
startup(from scratch),rebrand(replacing existing identity), orextension(adding sub-brand/product line) - Industry/category: Inferred or stated
- Competitors: Named or implied
- Constraints: Existing assets, colors, or names to preserve (for refresh/audit)
If mode is not specified, infer from context clues (e.g., "new app" → define; "our brand feels outdated" → refresh; "evaluate our brand" → audit).
2. Load Brand Strategist Reference
Apply the frameworks from the brand-strategist.md reference:
- Positioning statement formula
- Competitive matrix approach
- Differentiator types (functional/emotional/social)
- Voice & tone model
- Brand audit framework (for audit mode)
3. Run Positioning Exercise
For define/refresh mode:
- Audience definition — Who is the primary target? Include: demographics, psychographics, primary job-to-be-done, frustration with current alternatives
- Category placement — What category does this brand compete in? What does the customer compare it to?
- Differentiator identification — What does this brand do/be that alternatives don't? Classify as functional, emotional, or social
- Reason to believe — What proof supports the differentiator? (feature, origin story, method, credentials)
- Positioning statement — Write the full "For [audience] who [need]..." statement
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.
- 9d ago First seen · 172 lines · 20 tokens per session scan A 276862e62525
brand-strategy is a command published in the GitHub repository Adityaraj0421/naksha-studio (317 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 1,431 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
brand
Generate a full editorial brand-guidelines book for any URL. 14 chapters covering brand essence/archetype, colour, typography, spacing, shape, iconography, motion, components, voice, accessibility, tokens, and how-to-use guidance. Print-ready, dark-mode toggle, hand-off-ready single HTML.
dna
Place a design in the measured design space — nearest systems, per-axis percentiles, outliers.
extract
Extract the complete design language from a URL — DTCG tokens, Tailwind, Figma vars, motion, voice, components.
fidelity
Measure how faithfully a clone reproduces a site — pixel-diff plus motion-fidelity into one 0-100 score, a letter grade, a ranked correction plan, and a shareable card.
site
Crawl a whole site and synthesize ONE canonical design system across all pages — unified tokens, coverage map, consistency grade.
theme-swap
Recolour an extracted site's design around a new brand primary. OKLCH hue rotation preserves perceptual lightness — neutrals, type, spacing, and motion stay untouched. Side-by-side HTML preview + recoloured tokens (DTCG, Tailwind, shadcn, Figma).