Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/siarhei-belavus/agent-publicnpx agentmods add skills/siarhei-belavus/agent-public/prd-to-issuesWrote 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/siarhei-belavus/agent-public/prd-to-issues)<a href="https://agentmods.dev/skills/siarhei-belavus/agent-public/prd-to-issues"><img src="https://agentmods.dev/badge/skills/siarhei-belavus/agent-public/prd-to-issues/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/siarhei-belavus/agent-public/prd-to-issues"><img src="https://agentmods.dev/badge/skills/siarhei-belavus/agent-public/prd-to-issues.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 | $0.00033 | $0.00605 |
| Opus 5 | $0.00016 | $0.00302 |
| Sonnet 5 | $0.00007 | $0.00121 |
| Haiku 4.5 | $0.00003 | $0.00060 |
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 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
Your job is to convert a PRD into a set of well-scoped implementation issues that can be picked up independently.
The output should favor tracer-bullet vertical slices over broad horizontal phases. Each issue should produce visible progress, reduce risk, and leave the system in a coherent state.
Process
- Read the PRD carefully
Understand:
- the problem being solved
- the key user flows
- constraints and non-goals
- the highest-risk or least-certain parts
If the PRD path is not given explicitly, infer the PRD slug from the provided PRD artifact and use that slug consistently.
- Identify vertical slices
Break the work into slices that:
- are end-to-end where practical
- exercise meaningful user value early
- reduce uncertainty quickly
- can be validated independently
- avoid producing a pile of disconnected infrastructure work
Do not split work purely by layer such as backend/frontend/database unless that is genuinely the safest shape.
- Create issue files
Write issue files under:
.prd/<prd-slug>/issues/
Use ordered filenames:
.prd/<prd-slug>/issues/01-<slice-slug>.md.prd/<prd-slug>/issues/02-<slice-slug>.md
Create the issues/ directory if it does not exist.
- Write each issue
Each issue should use this structure:
# <Issue title>
## Parent PRD
.prd/<prd-slug>/prd.md
## Goal
What this slice delivers and why it exists.
## Scope
- In scope item 1
- In scope item 2
## Out of Scope
- Out of scope item 1
- Out of scope item 2
## Implementation Notes
- Important constraints
- Relevant modules or boundaries
- Risks or edge cases to watch
## Validation
- How to verify the slice works
- Tests, manual checks, or observability needed
## Dependencies
- Optional dependency on another issue or artifact
Keep each issue independently understandable. Avoid hidden assumptions that require rereading the full PRD to make progress.
5. Sequence the work
Order issues so that:
- the earliest slices reduce the most important uncertainty
- later slices build on proven capability
- the sequence is practical, not just conceptually neat
Call out explicit dependencies only when necessary.
6. Final response
In your final response:
- summarize how many issues were created
- list the created file paths
- briefly explain the sequencing logic
## Communication
Honor active caveman mode for user-facing replies per `../../references/communication-mode.md`. Keep durable artifacts normal unless the human asks otherwise. Drop caveman for safety/clarity when needed, then resume.
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 · 99 lines · 33 tokens per session scan A 16eed494954d
prd-to-issues is a skill published in the GitHub repository siarhei-belavus/agent-public (2 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 605 once invoked, about $0.0002 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.
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