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 agentmods add skills/metaschema-framework/claude-plugins/prd-constructionnpx skills add metaschema-framework/claude-plugins --skill prd-constructiongit clone --depth 1 https://github.com/metaschema-framework/claude-pluginsWrote 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/metaschema-framework/claude-plugins/prd-construction)<a href="https://agentmods.dev/skills/metaschema-framework/claude-plugins/prd-construction"><img src="https://agentmods.dev/badge/skills/metaschema-framework/claude-plugins/prd-construction.svg" alt="Measured on agentmods" 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 | $0.00042 | $0.01894 |
| Opus 5 | $0.00021 | $0.00947 |
| Sonnet 5 | $0.00008 | $0.00379 |
| Haiku 4.5 | $0.00004 | $0.00189 |
Grade A, and why
prd-construction 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 4d 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 — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PRD Construction Skill
Use this skill when planning work that requires structured documentation before implementation.
When to Use This Skill
- New features
- Significant refactoring efforts
- Complex bug fixes requiring architectural changes
- Any work benefiting from upfront planning and user approval
DOs and DONTs
DO
- DO use the
superpowers:brainstormingskill first to refine requirements before writing the PRD - DO create a dedicated directory for each PRD with all related documents
- DO include measurable success metrics with current vs. target values
- DO group related changes into logical, cohesive PRs
- DO include acceptance criteria as checkboxes that can be marked complete
- DO list exact file paths to create/modify in the implementation plan
- DO specify dependencies between PRs when they exist
- DO update the PRD as work progresses (mark checkboxes, add notes)
- DO get user approval before starting implementation
DON'T
- DON'T include AI-specific instructions in PRD documents (e.g., "For Claude:", "AI should...")
- DON'T include meta-commentary about the document itself
- DON'T skip the brainstorming phase - requirements need refinement
- DON'T create one PR per commit - group related commits into cohesive PRs
- DON'T split logically related changes across multiple PRs unnecessarily
- DON'T start implementation before user approves the PRD
- DON'T leave acceptance criteria vague - make them verifiable
- DON'T forget to update status as work completes
PRD Template
# PRD: [Feature/Initiative Name]
## Document Information
| Field | Value |
|-------|-------|
| **PRD ID** | [SHORT-ID-001] |
| **Status** | Draft / In Review / Approved / In Progress / Completed |
| **Author** | [Author Name] |
| **Created** | YYYY-MM-DD |
| **Last Updated** | YYYY-MM-DD |
---
## 1. Overview
### 1.1 Problem Statement
[Describe the problem being solved. What pain points exist? Why does this matter?]
### 1.2 Goals
[Numbered list of specific, measurable goals]
1. [Goal 1]
2. [Goal 2]
3. [Goal 3]
### 1.3 Non-Goals
[What is explicitly out of scope for this initiative?]
- [Non-goal 1]
- [Non-goal 2]
### 1.4 Success Metrics
| Metric | Current | Target |
|--------|---------|--------|
| [Metric 1] | [value] | [value] |
| [Metric 2] | [value] | [value] |
---
## 2. Background
### 2.1 Current State
[Describe the current system/behavior that will be changed]
### 2.2 Technical Context
[Relevant technical details: architecture, dependencies, constraints]
---
## 3. Requirements
### 3.1 Functional Requirements
#### FR-1: [Requirement Name]
[Description of the requirement]
#### FR-2: [Requirement Name]
[Description of the requirement]
### 3.2 Non-Functional Requirements
#### NFR-1: [Requirement Name]
[Description: performance, security, maintainability, etc.]
---
## 4. Implementation Phases
[High-level overview of implementation phases]
### Phase 1: [Phase Name]
[Brief description, reference to implementation-plan.md for details]
### Phase 2: [Phase Name]
[Brief description]
---
## 5. Testing Strategy
### 5.1 Test Approach
[How will changes be tested? TDD requirements, test types]
### 5.2 Verification Checklist
- [ ] [Verification item 1]
- [ ] [Verification item 2]
---
## 6. Risks and Mitigations
| Risk | Impact | Likelihood | Mitigation |
|------|--------|------------|------------|
| [Risk 1] | High/Medium/Low | High/Medium/Low | [Mitigation strategy] |
---
## 7. Open Questions
[List any unresolved questions that need answers before or during implementation]
1. [Question 1]
2. [Question 2]
---
## 8. Related Documents
- [Implementation Plan](./implementation-plan.md)
- [Other supporting documents]
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.
- 4d ago First seen · 310 lines · 42 tokens per session scan A 185b0a994579
prd-construction is a skill published in the GitHub repository metaschema-framework/claude-plugins (10 stars, last pushed 6mo ago), licensed CC0-1.0. It adds 42 tokens to every session and 1,894 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…