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/refo/claude-dev-helpers/prd-to-issuesgit clone --depth 1 https://github.com/refo/claude-dev-helpersWrote 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/refo/claude-dev-helpers/prd-to-issues)<a href="https://agentmods.dev/commands/refo/claude-dev-helpers/prd-to-issues"><img src="https://agentmods.dev/badge/commands/refo/claude-dev-helpers/prd-to-issues.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 | $0.00050 | $0.00417 |
| Opus 5 | $0.00025 | $0.00209 |
| Sonnet 5 | $0.00010 | $0.00083 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
prd-to-issues 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 4d 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
PRD to Issues
Break a PRD into independently-grabbable GitHub issues using vertical slices (tracer bullets).
Process
1. Locate the PRD
Ask the user for the PRD GitHub issue number (or URL). If the PRD is not already in your context window, fetch it with gh issue view <number> (with comments).
2. Explore the codebase (optional)
If you have not already explored the codebase, do so to understand the current state of the code.
3. Draft vertical slices
Break the PRD into tracer bullet issues. Each issue is "a thin vertical slice that cuts through ALL integration layers end-to-end, NOT a horizontal slice of one layer."
Slices may be 'HITL' (human-in-the-loop) or 'AFK' (away-from-keyboard). HITL slices require human interaction, such as architectural decisions or design reviews. AFK slices can be implemented and merged without human interaction. Prefer AFK over HITL where possible.
Vertical slice rules:
- "Each slice delivers a narrow but COMPLETE path through every layer"
- A completed slice is demoable or verifiable independently
- Prefer many thin slices over few thick ones
4. Quiz the user
Present the proposed breakdown as a numbered list showing title, type, blockers, and user stories covered. Ask whether granularity is appropriate, dependencies are correct, and slice categorization is accurate.
5. Create the GitHub issues
For each approved slice, create issues using gh issue create in dependency order, using the provided template that includes parent PRD reference, description, acceptance criteria, blockers, and user stories addressed.
Do NOT close or modify the parent PRD issue.
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.
- 4d ago First seen · 40 lines · 50 tokens per session scan A 655afa3d249d
prd-to-issues is a command published in the GitHub repository refo/claude-dev-helpers (2 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 417 once invoked, about $0.0003 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
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.
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.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.