Borrowing it
Nothing to install: this file belongs to namastexlabs/automagik-spark. 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/namastexlabs/automagik-spark/main/.claude/commands/wish.mdgit clone --depth 1 https://github.com/namastexlabs/automagik-sparkWrote 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/namastexlabs/automagik-spark/wish)<a href="https://agentmods.dev/commands/namastexlabs/automagik-spark/wish"><img src="https://agentmods.dev/badge/commands/namastexlabs/automagik-spark/wish/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80Γ15 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/namastexlabs/automagik-spark/wish"><img src="https://agentmods.dev/badge/commands/namastexlabs/automagik-spark/wish.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 | $0.00000 | $0.00602 |
| Opus 5 | $0.00000 | $0.00301 |
| Sonnet 5 | $0.00000 | $0.00120 |
| Haiku 4.5 | $0.00000 | $0.00060 |
Grade A, and why
wish scanned grade A with 0 findings against 26 rules in 11 categories β prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency β 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 β 84 lines β stays where its author put it; the contents beside it link to each section on GitHub.
/wish - Universal Development Wish Fulfillment
allowed-tools: Task(), Read(), Write(), Edit(), MultiEdit(), Glob(), Grep(), Bash(), LS(), TodoWrite() description: π§β¨ Transform any development wish into reality through intelligent agent orchestration
π― Purpose
Transform ANY development wish into perfectly orchestrated reality through intelligent agent delegation and tech-stack-aware execution.
π§ Wish Fulfillment Flow
/wish β π§ Analysis β π― Agent Selection β β‘ Execution β β¨ Wish Granted
π Usage Examples
Codebase Analysis
/wish "analyze this codebase and provide development recommendations"
Feature Development
/wish "add user authentication with JWT tokens"
/wish "implement payment processing integration"
/wish "create REST API for user management"
Debugging & Fixing
/wish "fix the failing database tests"
/wish "optimize slow query performance"
/wish "resolve memory leak in background service"
Quality & Testing
/wish "improve test coverage to 90%"
/wish "set up automated code quality checks"
/wish "create integration tests for API endpoints"
π― Agent Routing Intelligence
The system automatically routes wishes to appropriate project-specific agents:
- Analysis requests β project-analyzer agent
- Planning needs β project-dev-planner agent
- Architecture design β project-dev-designer agent
- Implementation tasks β project-dev-coder agent
- Debugging issues β project-dev-fixer agent
- Complex coordination β project-clone agent
π§ Tech Stack Intelligence
All agents leverage the analyzer's findings to provide:
- Language-specific best practices
- Framework-appropriate patterns
- Tool-specific recommendations
- Architecture-aware solutions
β¨ Wish Fulfillment Process
- Intelligent Analysis: Understand wish intent and complexity
- Agent Selection: Route to most appropriate project agent
- Context Integration: Use analyzer findings for tech-stack awareness
- Execution: Specialized agent handles the wish with full autonomy
- Coordination: Multi-agent coordination for complex wishes
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 Β· 84 lines Β· 0 tokens per session scan A db483e6c5b58
wish is a command published in the GitHub repository namastexlabs/automagik-spark (21 stars, last pushed 10mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 602 tokens. 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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