Borrowing it
Nothing to install: this file belongs to geckse/markdown-vdb. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/geckse/markdown-vdb/main/.claude/skills/prd-methodology/SKILL.mdgit clone --depth 1 https://github.com/geckse/markdown-vdbWrote 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/geckse/markdown-vdb/prd-methodology)<a href="https://agentmods.dev/skills/geckse/markdown-vdb/prd-methodology"><img src="https://agentmods.dev/badge/skills/geckse/markdown-vdb/prd-methodology/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/geckse/markdown-vdb/prd-methodology"><img src="https://agentmods.dev/badge/skills/geckse/markdown-vdb/prd-methodology.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 | $0.00030 | $0.00524 |
| Opus 5.5 | $0.00012 | $0.00210 |
| Sonnet 5.5 | $0.00006 | $0.00105 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
prd-methodology 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PRP Methodology — Quick Reference
The PRP (Product Requirement Prompt) framework is a structured process for creating PRDs that coding agents can execute in a single pass.
Core Principle
A PRD must contain ALL context needed for implementation. If a fresh Claude session with only the PRD can't build the feature correctly, the PRD is incomplete.
The 3-Step Process
- Write initial description — Brain dump what you want: feature, tech stack, constraints, integrations, examples, documentation references
- Generate the PRD — Research the codebase + web, interview the user, produce a structured document following the base template
- Execute the PRD — Clear context, start fresh, implement from the PRD alone
What Makes a Good PRD
DO:
- Reference specific files and code patterns from the codebase
- Write testable validation criteria ("returns 401 on invalid token")
- Include explicit non-goals to prevent scope creep
- List anti-patterns specific to the project
- Order implementation steps by dependency (what must exist before what)
- Include migration strategy for existing data/behavior
DON'T:
- Use vague validation criteria ("works well", "is performant")
- Leave technical design abstract ("use appropriate data structures")
- Assume the implementing agent knows project conventions — spell them out
- Skip the non-goals section — agents will over-build without boundaries
- Write steps that can't be verified independently
Interview Technique
The most valuable part of PRD generation is the interview. Goal: reduce assumptions to near zero.
- Ask at least 8-10 questions before writing
- Batch questions in groups of 3-4
- Provide recommended answers based on codebase research
- Cover: scope, users, technical constraints, data model, compatibility, edge cases, testing, anti-patterns
- Final question: "What else should I know that I haven't asked about?"
Validation Criteria Standards
Every criterion must be:
- Specific: "Login with wrong password returns 401" not "error handling works"
- Testable: Can be verified by running a command or checking output
- Independent: Each criterion can be checked on its own
- Complete: Cover happy path, edge cases, backward compatibility, and security
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.
- 2mo ago First seen · 56 lines · 30 tokens per session scan A 2f6b2ca69f45
prd-methodology is a skill published in the GitHub repository geckse/markdown-vdb (29 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 524 once invoked, about $0.0001 per session on Opus 5.5. 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.
prd-methodology compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| prd-methodologygeckse/markdown-vdb | Skill | 29 | 2mo ago | MIT | A | 30 | Claude Code |
| llmwikiatomicstrata/llm-wiki-compiler | Skill | 2.2k | 7d ago | MIT | A | 66 | Claude Code, Codex |
| crit-storytomasz-tomczyk/crit | Skill | 1.3k | 2d ago | MIT | A | 47 | Claude Code, Codex |
| processing-markdownharehare/mq | Skill | 1.1k | yesterday | MIT | A | 36 | Claude Code, Codex |
| web-scrapingharehare/mq | Skill | 1.1k | yesterday | MIT | A | 89 | Claude Code, Codex |
| sloplessberelevant-ai/slopless | Skill | 339 | 2d ago | MIT | A | 40 | Claude Code, Codex |
| larksnap-fetchAmbroseX/larksnap | Skill | 312 | 15d ago | Apache-2.0 | A | 111 | Claude Code, Codex |