prd-analysis

A guide for reviewing Product Requirements Documents (PRDs) according to their intended level of detail.

In plain words
What is it for?
Use it to identify inconsistencies, missing information, ambiguous statements, and structural issues, then produce specific and prioritized recommendations.
Why use it?
It prevents a high-level document from being judged against technical details it was never meant to include, while still finding important quality problems.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/sequenzia/claude-plugins/prd-analysis
Any agent
npx skills add sequenzia/claude-plugins --skill prd-analysis
Clone the repo
git clone --depth 1 https://github.com/sequenzia/claude-plugins

Made for: Claude Code, Codex.

Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,557 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00019 $0.01557
Opus 5 $0.00010 $0.00779
Sonnet 5 $0.00004 $0.00311
Haiku 4.5 $0.00002 $0.00156

Measured 2d ago against content hash 8f3c571a4151, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

prd-analysis 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 2d 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.

plugins/prd-tools/skills/prd-analysis/SKILL.md · 269 lines

How it starts

The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PRD Analysis Skill

This skill provides structured knowledge for analyzing existing Product Requirements Documents to identify quality issues and guide resolution.

Analysis Philosophy

Depth-Aware Analysis

PRD analysis must respect the intended depth level of the document. A high-level PRD should not be flagged for missing API specifications, just as a full-tech PRD should be scrutinized for technical completeness.

Key Principle: Only flag what's expected at the document's depth level.

Constructive Approach

Findings should be:

  • Actionable: Clear recommendation for how to fix
  • Specific: Exact location and description of issue
  • Prioritized: Severity indicates importance
  • Helpful: Explain why this matters, not just what's wrong

Systematic Coverage

Analysis covers four distinct categories to ensure comprehensive review:

  1. Inconsistencies: Internal contradictions or mismatches
  2. Missing Information: Expected content that's absent
  3. Ambiguities: Unclear or vague statements
  4. Structure Issues: Formatting, organization, missing sections

Finding Categories

1. Inconsistencies

Issues where the PRD contradicts itself or uses conflicting information.

What to Look For:

  • Feature named differently in different sections
  • Priority mismatches (feature marked P2 but in Phase 1)
  • Metrics that don't align with stated goals
  • Contradictory requirements
  • Timeline/phase misalignment

Detection Strategy:

  1. Build glossary of feature names from first mention
  2. Track priority assignments
  3. Map goals to metrics
  4. Compare requirements for conflicts

2. Missing Information

Expected content that is absent based on the PRD's depth level.

What to Look For:

  • Required sections for depth level
  • Undefined technical terms
  • Features without acceptance criteria (detailed/full-tech)
  • Error scenarios not addressed
  • Dependencies not listed
  • Incomplete personas

Detection Strategy:

  1. Compare against depth-level checklist
  2. Identify domain terms without definitions
  3. Check each feature for expected attributes
  4. Scan for external system references

Read the full file on GitHub · 269 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 269 lines · 19 tokens per session scan A 8f3c571a4151

Subscribe to this mod's changes

prd-analysis is a skill published in the GitHub repository sequenzia/claude-plugins (2 stars, last pushed 7mo ago), licensed MIT. It adds 19 tokens to every session and 1,557 once invoked, about $0.0001 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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