to-prd

to-prd is a skill for Claude Code, Codex from mattmre/EVOKORE-MCP-PUBLIC. It costs 53 tokens per session (1,988 once invoked), scanned A, original, MIT.

A planning tool that creates a Product Requirements Document (PRD) from existing project evidence such as session logs, architecture decisions, earlier PRDs, or bug reports. A PRD is a written description of a product change, its goals, and its expected behavior.

In plain words
What is it for?
Use it to turn prior engineering evidence into a markdown PRD, revise or merge existing requirements, and prepare a reviewed feature proposal.
Why use it?
It removes the need to reconstruct product requirements from scattered project records. It also sends the draft through an expert review before it is treated as ready.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to turn prior engineering evidence into a markdown PRD, revise or merge existing requirements, and prepare a reviewed feature proposal.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mattmre/evokore-mcp-public/to-prd
Install

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.

Any agent
npx skills add mattmre/EVOKORE-MCP-PUBLIC --skill to-prd
Clone the repo
git clone --depth 1 https://github.com/mattmre/EVOKORE-MCP-PUBLIC

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for to-prd

README.md
[![agentmods](https://agentmods.dev/badge/skills/mattmre/evokore-mcp-public/to-prd/github.svg)](https://agentmods.dev/skills/mattmre/evokore-mcp-public/to-prd)
Your own site
<a href="https://agentmods.dev/skills/mattmre/evokore-mcp-public/to-prd"><img src="https://agentmods.dev/badge/skills/mattmre/evokore-mcp-public/to-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.

agentmods 80×15 button for to-prd

Your own site · 80×15
<a href="https://agentmods.dev/skills/mattmre/evokore-mcp-public/to-prd"><img src="https://agentmods.dev/badge/skills/mattmre/evokore-mcp-public/to-prd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,988 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.01988
Opus 5 $0.00026 $0.00994
Sonnet 5 $0.00011 $0.00398
Haiku 4.5 $0.00005 $0.00199

Measured 8d ago against content hash 35dbbb0344b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

to-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 8d 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.

SKILLS/PLANNING/to-prd/SKILL.md · 163 lines

How it starts

The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.

to-prd — Synthesize a PRD From Existing Context

When to use this skill

Use when the next agent step needs a Product Requirements Document but the upstream signal is not a live user dialogue — instead it is some combination of:

  • a prior session's ~/.evokore/sessions/*-replay.jsonl and ~/.evokore/sessions/*-evidence.jsonl
  • one or more existing docs/prd/*.md to revise or merge
  • an ADR under docs/adr/ describing a contract that must be productized
  • a triaged bug at docs/bugs/<slug>.md whose fix has product-shaped scope
  • a panel-of-experts artifact requesting a feature

The output is a markdown PRD at docs/prd/<slug>.md plus a panel-review invocation. EVOKORE-MCP is agent-driven: the user is not treated as a live oracle inside this skill. Every "ask the user" step from the upstream mattpocock/skills/to-prd is rewritten to either read a prior artifact or to emit a panel invocation.

If you do not have any of the inputs above, stop. Either generate them first (e.g., run triage-bug, repo-ingestor, or open a panel) or escalate to a human via the HITL flag (see "Filing the PRD").

Adapted From Upstream

This skill is adapted from mattpocock/skills/to-prd (upstream commit 90ea8eec03d4ae8f43427aaf6fe4722653561a42, MIT-licensed). The upstream skill assumes a conversational user who iteratively answers requirements questions and approves the final PRD. EVOKORE-MCP runs autonomous agent sessions, so the conversational loop has been replaced with artifact reads and a panel-of-experts review gate.

EVOKORE-Specific Adaptations

The following user-loop steps from upstream have been rewritten:

Upstream behavior EVOKORE behavior
"Ask the user about goals and non-goals" Read goals/non-goals from evidence/replay JSONL, ADRs, and any predecessor PRD; if missing, emit a panel-of-experts invocation with personas [product-strategist, technical-architect]
"Iterate on user stories until the user approves" Generate agent stories (since EVOKORE is agent-driven) plus optional user stories, then invoke panel-of-experts skill with persona set [product-strategist, technical-architect, qa-lead] for PRD review
"Wait for user feedback before filing" Write the PRD to docs/prd/<slug>.md and stop. Filing is gated by EVOKORE_AUTO_FILE_ISSUES=true; otherwise the path is emitted for HITL review
"Confirm scope with the user" Read the most recent docs/adr/*.md whose status is Accepted for the relevant bounded context; if scope is ambiguous, route through the panel

Read the full file on GitHub · 163 lines

Changes

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.

  1. 8d ago First seen · 163 lines · 53 tokens per session scan A 35dbbb0344b3

Subscribe to this mod's changes

to-prd is a skill published in the GitHub repository mattmre/EVOKORE-MCP-PUBLIC (3 stars, last pushed 3mo ago), licensed MIT. It adds 53 tokens to every session and 1,988 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 2026-09-03.

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