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 skills add FortiumPartners/ensemble --skill ensemble-refine-prdgit clone --depth 1 https://github.com/FortiumPartners/ensembleWrote 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/fortiumpartners/ensemble/ensemble-refine-prd)<a href="https://agentmods.dev/skills/fortiumpartners/ensemble/ensemble-refine-prd"><img src="https://agentmods.dev/badge/skills/fortiumpartners/ensemble/ensemble-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.
<a href="https://agentmods.dev/skills/fortiumpartners/ensemble/ensemble-refine-prd"><img src="https://agentmods.dev/badge/skills/fortiumpartners/ensemble/ensemble-refine-prd.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 | $0.00032 | $0.01886 |
| Opus 5 | $0.00016 | $0.00943 |
| Sonnet 5 | $0.00006 | $0.00377 |
| Haiku 4.5 | $0.00003 | $0.00189 |
Grade A, and why
ensemble-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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ensemble-full-refine-prd — 88% identical, 142 lines differ
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ensemble Command: /ensemble:refine-prd
This Codex skill mirrors the Ensemble slash command /ensemble:refine-prd.
Follow the workflow below, adapt to the current repository, and keep outputs structured.
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.
Workflow
Phase 1: PRD Review
1. Current PRD Analysis Review existing PRD content and establish baseline metrics
- Read the PRD file from the path provided in $ARGUMENTS
- Parse frontmatter for Document ID, Version, Status, and Readiness Score
- Count requirements by type (functional, non-functional) and priority (Must/Should/Could/Won't)
- Count acceptance criteria and compute AC coverage percentage (requirements with at least one AC / total requirements)
- Check if PRD Health summary exists and whether its numbers match actual requirement counts
- Note the current version number for version bumping later
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)
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.
- 9d ago First seen · 168 lines · 32 tokens per session scan A 6ae83fed3136
ensemble-refine-prd is a skill published in the GitHub repository FortiumPartners/ensemble (12 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 1,886 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 2026-08-30.
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