ensemble-full-refine-prd

ensemble-full-refine-prd is a skill for Claude Code from FortiumPartners/ensemble. It costs 72 tokens per session (1,895 once invoked), scanned A, a copy of ensemble-refine-prd, MIT.

A process for improving an existing Product Requirements Document (PRD), a document describing what a product should do. It reviews requirements, priorities, health, and readiness before applying selected changes.

In plain words
What is it for?
Use it to review a PRD, refine requirements and priorities, address ambiguities, and improve implementation readiness.
Why use it?
It helps keep product requirements aligned with stakeholder feedback and exposes gaps before engineering begins. Changes remain traceable through document versions.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the ensemble-pi plugin — 7 skills, 6 agents shipped together

Good fit Use it to review a PRD, refine requirements and priorities, address ambiguities, and improve implementation readiness.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fortiumpartners/ensemble/ensemble-full-refine-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 FortiumPartners/ensemble --skill ensemble-full-refine-prd
Clone the repo
git clone --depth 1 https://github.com/FortiumPartners/ensemble

Made for: Claude Code.

Or install ensemble-pi, the plugin that ships this one along with the rest of its 7 skills, 6 agents.

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 ensemble-full-refine-prd

README.md
[![agentmods](https://agentmods.dev/badge/skills/fortiumpartners/ensemble/ensemble-full-refine-prd/github.svg)](https://agentmods.dev/skills/fortiumpartners/ensemble/ensemble-full-refine-prd)
Your own site
<a href="https://agentmods.dev/skills/fortiumpartners/ensemble/ensemble-full-refine-prd"><img src="https://agentmods.dev/badge/skills/fortiumpartners/ensemble/ensemble-full-refine-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 ensemble-full-refine-prd

Your own site · 80×15
<a href="https://agentmods.dev/skills/fortiumpartners/ensemble/ensemble-full-refine-prd"><img src="https://agentmods.dev/badge/skills/fortiumpartners/ensemble/ensemble-full-refine-prd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,895 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 88% copy Near-identical to another mod 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 $0.00072 $0.01895
Opus 5 $0.00036 $0.00948
Sonnet 5 $0.00014 $0.00379
Haiku 4.5 $0.00007 $0.00189

Measured 6d ago against content hash ac6b21e7ad7e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ensemble-full-refine-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 6d 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.

Origin

This is a copy

88% identical to ensemble-refine-prd — 142 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

packages/pi/skills/ensemble-full-refine-prd/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ensemble:refine-prd

Mission: Refine and enhance an existing Product Requirements Document based on stakeholder feedback, additional research, or identified gaps. Updates PRD while maintaining version history, traceability, and alignment with the create-prd v2.2.0 format including PRD Health summaries, MoSCoW priorities, and Implementation Readiness Gate scoring.

Constraints:

  • DO NOT implement, build, or execute any work described in the PRD
  • This command ONLY refines the PRD document itself
  • The arguments describe what should be improved in the document, not what should be built
  • After refining the PRD, stop and wait for user approval before any implementation
  • DO NOT make any edits to the PRD during the Synthesis step — findings are presented first, edits happen only after the user selects items

Phase 1: PRD Review

Step 1: Current PRD Analysis

Review existing PRD content and establish baseline metrics

Actions:

  1. Read the PRD file from the path provided in $ARGUMENTS
  2. Parse frontmatter for Document ID, Version, Status, and Readiness Score
  3. Count requirements by type (functional, non-functional) and priority (Must/Should/Could/Won't)
  4. Count acceptance criteria and compute AC coverage percentage (requirements with at least one AC / total requirements)
  5. Check if PRD Health summary exists and whether its numbers match actual requirement counts
  6. Note the current version number for version bumping later

Step 2: Synthesis

After reviewing the PRD, generate a numbered list of findings WITHOUT making any edits yet. Scan for the following issues:

  • '[NEEDS CLARIFICATION] markers from create-prd — present each one verbatim as a finding so the user''s answers replace the marker with actual content'
  • Requirements missing REQ-NNN IDs as H3 headings
  • Acceptance criteria that are missing or not in Given/When/Then format
  • Missing PRD document ID (PRD-YYYY-NNN) in frontmatter
  • Unclear or ambiguous requirement language
  • Scope gaps (scenarios or edge cases not addressed)
  • Missing technical constraints or dependencies
  • Missing priority ordering of features or requirements
  • Open questions or unresolved decisions
  • Requirements missing MoSCoW priority tags (Must/Should/Could/Won't)
  • Requirements missing complexity tags (Low/Medium/High)
  • Requirements missing risk indicators where complexity is Medium or High
  • Missing or incomplete dependency map (cross-requirement dependencies)
  • PRD Health summary missing or outdated (requirement counts by priority don't match actual counts)
  • Missing Implementation Readiness Gate scorecard
  • Acceptance criteria coverage gaps (Must requirements with fewer than 2 ACs, Should requirements with zero ACs)

Read the full file on GitHub · 160 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. 6d ago First seen · 160 lines · 72 tokens per session scan A ac6b21e7ad7e

Subscribe to this mod's changes

ensemble-full-refine-prd is a skill published in the GitHub repository FortiumPartners/ensemble (12 stars, last pushed 2d ago), licensed MIT. It adds 72 tokens to every session and 1,895 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to ensemble-refine-prd, differing in 142 lines, and is treated as a copy.

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