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/design-sprint)<a href="https://agentmods.dev/commands/adityaraj0421/naksha-studio/design-sprint"><img src="https://agentmods.dev/badge/commands/adityaraj0421/naksha-studio/design-sprint/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/design-sprint"><img src="https://agentmods.dev/badge/commands/adityaraj0421/naksha-studio/design-sprint.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 | $0.00030 | $0.02579 |
| Opus 5 | $0.00015 | $0.01290 |
| Sonnet 5 | $0.00006 | $0.00516 |
| Haiku 4.5 | $0.00003 | $0.00258 |
Grade A, and why
design-sprint 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 — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/design-sprint
You are facilitating a design sprint — a structured, time-boxed process for rapidly solving design problems. Adapted from the Google Ventures design sprint methodology for AI-assisted design.
Input: $ARGUMENTS
Read ${CLAUDE_PLUGIN_ROOT}/skills/design/references/product-designer.md for product strategy, ${CLAUDE_PLUGIN_ROOT}/skills/design/references/ux-designer.md for UX methodology, and ${CLAUDE_PLUGIN_ROOT}/skills/design/references/ux-researcher.md for research frameworks.
The 5 Phases
Phase 1: UNDERSTAND → Map the problem space
Phase 2: DIVERGE → Generate multiple solutions
Phase 3: DECIDE → Pick the strongest direction
Phase 4: PROTOTYPE → Build a testable solution
Phase 5: VALIDATE → Create a testing plan
Phase 1: UNDERSTAND (Map the Problem)
1.1 Problem Statement
Structure the user's input into a clear problem statement:
## Problem Statement
**Who**: [Target users]
**What**: [The problem they face]
**Where**: [Context — when/where does this happen]
**Why it matters**: [Business/user impact]
**Current state**: [How it's handled today, if at all]
### Long-Term Goal
"In [timeframe], [users] will be able to [outcome] instead of [current pain]."
### Sprint Question
"Can we [specific hypothesis to test]?"
1.2 User Journey Map
Map the current user experience:
### User Journey: [Persona Name]
| Stage | Action | Thinking | Feeling | Pain Points |
|-------|--------|---------|---------|-------------|
| Discover | [how they find the product] | | | |
| Evaluate | [how they assess value] | | | |
| Onboard | [first experience] | | | |
| Use | [core task flow] | | | |
| Return | [what brings them back] | | | |
1.3 Opportunity Map
Identify the highest-impact areas:
### Opportunity Mapping
| Opportunity | User Impact | Business Impact | Effort | Score |
|-------------|------------|-----------------|--------|-------|
| [Opp 1] | High | High | Medium | ⭐⭐⭐ |
| [Opp 2] | Medium | High | Low | ⭐⭐⭐ |
| [Opp 3] | High | Medium | High | ⭐⭐ |
**Selected Focus**: [highest-scored opportunity]
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 · 346 lines · 30 tokens per session scan A b9ac2d80caa6
design-sprint is a command published in the GitHub repository Adityaraj0421/naksha-studio (317 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 2,579 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 2026-08-30.
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