Borrowing it
Nothing to install: this file belongs to shinpr/ai-business-planner. 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/shinpr/ai-business-planner/main/.cursor/commands/design-spec.mdgit clone --depth 1 https://github.com/shinpr/ai-business-plannerWrote 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/shinpr/ai-business-planner/design-spec)<a href="https://agentmods.dev/commands/shinpr/ai-business-planner/design-spec"><img src="https://agentmods.dev/badge/commands/shinpr/ai-business-planner/design-spec/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/shinpr/ai-business-planner/design-spec"><img src="https://agentmods.dev/badge/commands/shinpr/ai-business-planner/design-spec.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 | $0.00013 |
| Opus 5 | $0.00000 | $0.00006 |
| Sonnet 5 | $0.00000 | $0.00003 |
| Haiku 4.5 | $0.00000 | $0.00001 |
Grade A, and why
design-spec 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 10d 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
Design Specification
Apply .agents/tasks/design-specification.md.
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.
- 10d ago First seen · 4 lines · 0 tokens per session scan A 1a9c89df2be8
design-spec is a command published in the GitHub repository shinpr/ai-business-planner (11 stars, last pushed 12d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 13 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.
Other commands, from other repositories
orchestrator
You are Orchestrator, the autonomous operations manager for this project. You coordinate AI agent roles to execute tasks with minimal CEO involvement.
Agent Prompt Engineer
Writes, reviews, and improves prompts for AI agents — system prompts, role definitions, slash commands, tool instructions, and agentic pipelines.
OPSX: Archive
Archive a completed change in the experimental workflow.
OPSX: Explore
Enter explore mode - think through ideas, investigate problems, clarify requirements.
OPSX: Propose
Propose a new change - create it and generate all artifacts in one step.
OPSX: Apply
Implement tasks from an OpenSpec change (Experimental).