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 skills add softspark/ai-toolkit --skill write-a-prdgit clone --depth 1 https://github.com/softspark/ai-toolkitWrote 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/skills/softspark/ai-toolkit/write-a-prd)<a href="https://agentmods.dev/skills/softspark/ai-toolkit/write-a-prd"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/write-a-prd/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/skills/softspark/ai-toolkit/write-a-prd"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/write-a-prd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00037 | $0.00813 |
| Opus 5.5 | $0.00015 | $0.00325 |
| Sonnet 5.5 | $0.00007 | $0.00163 |
| Haiku 4.5 | $0.00004 | $0.00081 |
Grade A, and why
write-a-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 1mo 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write a PRD
$ARGUMENTS
Create a PRD through structured interview, codebase exploration, and module design, then submit as a GitHub issue.
Usage
/write-a-prd [feature or problem description]
What This Command Does
- Gathers detailed problem description from user
- Explores the codebase to verify assertions and understand current state
- Interviews relentlessly about every design branch until shared understanding
- Sketches major modules — actively seeking deep modules (small interface, deep implementation)
- Writes the PRD and submits as GitHub issue via
gh issue create
Process
1. Gather Problem Description
Ask the user for a detailed description of:
- The problem they want to solve
- Any potential ideas for solutions
- Who the users/actors are
2. Explore the Codebase
Use Agent (subagent_type=Explore) to understand:
- Current architecture relevant to the feature
- Existing patterns and conventions
- Integration points
- Related code that might be affected
3. Interview Relentlessly
Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.
Ask questions one at a time. If a question can be answered by exploring the codebase, explore instead of asking.
4. Sketch Modules
Identify major modules to build or modify. Look for opportunities to extract deep modules — modules that encapsulate significant functionality behind a simple, testable interface.
Check with the user:
- Do these modules match their expectations?
- Which modules need tests?
5. Write and Submit PRD
Use the template below. Submit as GitHub issue via gh issue create. Share the URL.
PRD Template
Problem Statement
The problem from the user's perspective.
Solution
The solution from the user's perspective.
User Stories
Extensive numbered list:
- As an , I want a , so that
Cover ALL aspects of the feature.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 130 lines · 37 tokens per session scan A b2211abe7b38
write-a-prd is a skill published in the GitHub repository softspark/ai-toolkit (180 stars, last pushed yesterday), licensed Apache-2.0. It adds 37 tokens to every session and 813 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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