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 zhaono1/agent-playbook --skill prd-plannergit clone --depth 1 https://github.com/zhaono1/agent-playbookWrote 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/zhaono1/agent-playbook/prd-planner)<a href="https://agentmods.dev/skills/zhaono1/agent-playbook/prd-planner"><img src="https://agentmods.dev/badge/skills/zhaono1/agent-playbook/prd-planner/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/zhaono1/agent-playbook/prd-planner"><img src="https://agentmods.dev/badge/skills/zhaono1/agent-playbook/prd-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
- NVIDIA SkillSpector pass
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 | $0.00048 | $0.03045 |
| Opus 5 | $0.00024 | $0.01522 |
| Sonnet 5 | $0.00010 | $0.00609 |
| Haiku 4.5 | $0.00005 | $0.00304 |
Grade A, and why
prd-planner 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.
How it starts
The opening of the file, as written. The whole thing — 451 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PRD Planner
A PRD creation skill that uses persistent file-based planning to maintain coherent thinking and avoid "left-brain vs right-brain" context switching issues.
When This Skill Activates
This skill activates when you:
- Explicitly say "PRD", "prd", "create a PRD", or "产品需求文档"
- Say "product requirements document" or "产品需求"
- Mention "write a PRD for..."
- Say "PRD planning" or "PRD 设计"
If user says "design solution" or "architecture design" without mentioning PRD, use architecting-solutions instead.
The Core Philosophy
"PRD creation should be traceable, coherent, and persistent - not scattered across context switches."
This skill combines:
- PRD methodology (from architecting-solutions)
- File-based persistence (from planning-with-files)
To create a single, coherent PRD creation workflow that doesn't lose context.
4-File Pattern for PRD Creation
For every PRD project, create FOUR files:
Pick a SCOPE (short, unique, kebab-case slug) and use it as a prefix for all files.
docs/{scope}-prd-notes.md → Store research, requirements, findings, options
docs/{scope}-prd-task-plan.md → Track PRD creation phases and progress
docs/{scope}-prd.md → Product requirements (what & why)
docs/{scope}-tech.md → Technical design (how)
File Purposes
| File | Purpose | Audience | Updated When |
|---|---|---|---|
{scope}-prd-notes.md |
Raw research, requirements, architecture options (A/B/C) | Self + reviewers | New information gathered |
{scope}-prd-task-plan.md |
Track progress, phases, checkboxes, timestamps | PM + dev lead | Each phase completion |
{scope}-prd.md |
Product requirements (what & why), user flows | PM + stakeholders + devs | After requirements are clear |
{scope}-tech.md |
Technical design (API, data flow, implementation) | Developers + architects | After architecture is decided |
Workflow
┌─────────────────────────────────────────────────────────────────┐
│ PRD Creation Workflow │
├─────────────────────────────────────────────────────────────────┤
│ │
│ 1. Initialize → Create 4 files with template │
│ 2. Requirements → Gather to {scope}-prd-notes.md │
│ 2.5 Edge Cases → Scan codebase, infer patterns, ask smartly │
│ 3. Analysis → Research best practices, save to notes │
│ 4. Design → Propose architecture options (A/B/C), save to notes │
│ 5. PRD → Write product requirements to {scope}-prd.md │
│ 6. Tech → Write technical design to {scope}-tech.md │
│ 7. Validate → Review with user, finalize │
│ │
└─────────────────────────────────────────────────────────────────┘
↓
All thinking persisted to files
↓
No context switching
What ships with it
2 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.
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 · 451 lines · 48 tokens per session scan A f5892526d2dc
prd-planner is a skill published in the GitHub repository zhaono1/agent-playbook (77 stars, last pushed 14d ago), licensed MIT. It adds 48 tokens to every session and 3,045 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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