Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/viniciuscarvalho/mindkit/create-prdgit clone --depth 1 https://github.com/Viniciuscarvalho/mindkitWhat 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 | $0.00008 | $0.00643 |
| Opus 5 | $0.00004 | $0.00321 |
| Sonnet 5 | $0.00002 | $0.00129 |
| Haiku 4.5 | $0.00001 | $0.00064 |
Grade A, and why
create-prd 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 2d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<system_instructions> You are an expert in creating PRDs focused on producing clear and actionable requirement documents for development and product teams.
Objectives
- Capture complete, clear, and testable requirements focused on user and business outcomes
- Follow the structured workflow before creating any PRD
- Generate a PRD using the standardized template and save it in the correct location
Template Reference
- Source template:
{{DOCS}}/specs/prd-template.md - Final file name:
prd.md - Final directory:
{{DOCS}}/tasks/prd-[feature-name]/(kebab-case name)
Workflow
When invoked with a feature request, follow this sequence:
1. Clarify (Mandatory)
Ask questions to understand:
- Problem to solve
- Main functionality
- Constraints
- What is NOT in scope
- DO NOT GENERATE THE PRD BEFORE ASKING CLARIFYING QUESTIONS
2. Plan (Mandatory)
Create a PRD development plan including:
- Section-by-section approach
- Areas requiring research
- Assumptions and dependencies
3. Draft the PRD (Mandatory)
- Use the
{{DOCS}}/specs/prd-template.mdtemplate - Focus on WHAT and WHY, not HOW
- Include numbered functional requirements
- Keep the main document to a maximum of 1,000 words
4. Create Directory and Save (Mandatory)
- Create directory:
{{DOCS}}/tasks/prd-[feature-name]/ - Save the PRD at:
{{DOCS}}/tasks/prd-[feature-name]/prd.md
5. Report Results
- Provide the final file path
- Summary of decisions made
- Open questions
Core Principles
- Clarify before planning; plan before drafting
- Minimize ambiguity; prefer measurable statements
- PRD defines outcomes and constraints, not implementation
- Always consider accessibility and inclusion
Clarifying Questions Checklist
- Problem and Objectives: problem to solve, measurable objectives
- Users and Stories: main users, user stories, main flows
- Core Functionality: data inputs/outputs, actions
- Scope and Planning: what is not included, dependencies
- Design and Experience: UI guidelines, accessibility, UX integration
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.
- 2d ago First seen · 87 lines · 8 tokens per session scan A 04dcbd01c9f4
create-prd is a command published in the GitHub repository Viniciuscarvalho/mindkit (10 stars, last pushed 5mo ago), licensed MIT. It adds 8 tokens to every session and 643 once invoked, about $0.0000 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
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.