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/crashbytes/claude-role-skills/prdgit clone --depth 1 https://github.com/CrashBytes/claude-role-skillsWrote 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/crashbytes/claude-role-skills/prd)<a href="https://agentmods.dev/commands/crashbytes/claude-role-skills/prd"><img src="https://agentmods.dev/badge/commands/crashbytes/claude-role-skills/prd.svg" alt="Measured on agentmods" 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 | $0.00005 | $0.00382 |
| Opus 5 | $0.00003 | $0.00191 |
| Sonnet 5 | $0.00001 | $0.00076 |
| Haiku 4.5 | $0.00001 | $0.00038 |
Grade A, and why
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 5d 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
Product Requirements Document
Draft a structured PRD for a product or feature.
Arguments
Product or feature: $ARGUMENTS
Workflow
-
Gather context
- Parse the product/feature description
- If codebase is available, scan for existing implementation context
- Identify the target market and user segments
-
Draft PRD sections
Executive Summary
- One paragraph: what, why, and for whom
Problem Statement
- What pain point does this solve?
- How are users solving this today?
- What's the cost of not solving it?
Goals and Success Metrics
- 2-3 measurable goals
- Key metrics (AARRR: Acquisition, Activation, Retention, Revenue, Referral)
- Target values and measurement timeline
User Personas
- Primary and secondary personas
- Jobs to be done for each
Requirements
- Functional requirements (must-have, should-have, nice-to-have)
- Non-functional requirements (performance, security, scalability, accessibility)
- Out of scope (explicit exclusions)
User Flows
- Primary happy path
- Key decision points
- Error states and recovery
Technical Considerations
- Architecture implications
- Integration points
- Data requirements
- Migration needs
Timeline and Milestones
- Phase breakdown with deliverables
- Dependencies and risks
Open Questions
- Decisions that need stakeholder input
- Areas requiring further research
-
Output
- Complete PRD in markdown format
- Ready for stakeholder review
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.
- 5d ago First seen · 68 lines · 5 tokens per session scan A 90f08fe6bfac
prd is a command published in the GitHub repository CrashBytes/claude-role-skills (6 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 5 tokens to every session and 382 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
save
Save this conversation as a new or existing reusable context.
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negative-keyword-sweep
Find wasted spend in Google Ads search terms and add negatives at the right scope (account list, campaign, or ad group). Use when the user says "find junk keywords", "stop wasting on bad searches", or wants a search-terms cleanup.
import
Import a shared context bundle, or take a teammate's newer copy of one you already have.
index
Command "index" from MadaraUchiha-314/the-loop, covering commands, the control plane, daemon commands, repo-scoped commands and maintenance.
check
Evaluate a work item's process-graph nodes against its checked-in artifacts, and report what is unmet.