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/aquifer-sea/pattern8/prdnpx skills add Aquifer-sea/pattern8 --skill prdgit clone --depth 1 https://github.com/Aquifer-sea/pattern8What 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 | $0.00022 | $0.00366 |
| Opus 5 | $0.00011 | $0.00183 |
| Sonnet 5 | $0.00004 | $0.00073 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
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 3d 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.
What it actually says
Product Requirements Document (PRD)
Constrains the Agent to follow a standard process for generating PRDs, ensuring completeness, format compliance, and security.
Step 1: Inversion (Requirements Alignment)
Before generating a PRD, you must check every item in assets/checklist.yaml.
Step 2: Generator (Generate PRD from Template)
Your output must strictly follow the PRD format defined in assets/template.yaml.
All sections (objectives, user personas, feature specs, technical constraints, etc.) must be filled.
No sections may be omitted or replaced with placeholders.
Step 3: Tool Wrapper (Security Fence)
The PRD must not contain any content prohibited by references/security.yaml.
For example: no real user PII, no suggestions to store passwords in plain text.
Step 4: Reviewer (Self-Audit Loop)
Audit the generated PRD against the criteria in references/guidelines.yaml.
If any criterion is not met, roll back and regenerate, up to 3 times.
What ships with it
4 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.
- 3d ago First seen · 46 lines · 22 tokens per session scan A 356f14daf1c6
prd is a skill published in the GitHub repository Aquifer-sea/pattern8 (49 stars, last pushed 5mo ago), licensed MIT. It adds 22 tokens to every session and 366 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 2026-08-30.
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