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 shinpr/nautilus --skill prd-standardsgit clone --depth 1 https://github.com/shinpr/nautilusWrote 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/shinpr/nautilus/prd-standards)<a href="https://agentmods.dev/skills/shinpr/nautilus/prd-standards"><img src="https://agentmods.dev/badge/skills/shinpr/nautilus/prd-standards.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 5.1 | $0.00052 | $0.00634 |
| Opus 5 | $0.00026 | $0.00317 |
| Sonnet 5 | $0.00010 | $0.00127 |
| Haiku 4.5 | $0.00005 | $0.00063 |
Grade A, and why
prd-standards 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 7d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PRD Standards
Purpose
Canonical reference for PRD quality — shared by both authoring (recipe-define) and review (doc-reviewer) workflows. Ensures the author and reviewer apply the same standards.
Reference Selection
| Task | Read |
|---|---|
| Writing or reviewing a full PRD | references/prd-template.md |
| Writing or reviewing acceptance criteria | references/acceptance-criteria.md |
| Assessing story readiness or drafting user stories | references/user-story-guide.md |
Relationship to product-principles
4 Risks framework, Confidence Meter (0-10), and OST hierarchy are defined in product-principles. This skill operationalizes them in the PRD context — templates, thresholds, and format. For authoritative definitions, always defer to product-principles.
PRD Structure
A nautilus PRD uses the portions of the standard structure required by its delivery consumer. See references/prd-template.md for the available structure.
Core sections (include when they carry a delivery decision or required evidence):
- Overview (one-line summary, background)
- Users and Stories
- Functional Requirements (with EARS-format ACs)
- Design Context
- Non-Functional Requirements (including accessibility)
- Success Criteria (tied to Product Outcomes)
- Technical Considerations
Nautilus extensions (include at the smallest scope that affects delivery):
- Hypothesis & validation references in Overview
- 4 Risks evidence at the scope that changes delivery readiness
- Design Context derived from design artifacts and prototypes
- Unvalidated assumptions section in Technical Considerations
User Story Standards
User stories remain grounded in an evidenced persona or user distinction. Record 4 Risks evidence at the smallest scope that changes delivery readiness; shared evidence does not need to be repeated per story. See references/user-story-guide.md for the output and readiness rules.
Key rules:
- Reference a specific persona from
docs/product/personas/, not generic "user" - Each material risk has evidence available to the delivery decision
- "Validated enough" is judged by cost x risk x reversibility, not a fixed threshold
- Remaining risks are documented explicitly, not hidden
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.
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.
- 7d ago First seen · 62 lines · 52 tokens per session scan A 27790e0eddf5
prd-standards is a skill published in the GitHub repository shinpr/nautilus (4 stars, last pushed 6d ago), licensed MIT. It adds 52 tokens to every session and 634 once invoked, about $0.0003 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
productspec
Use when implementing, reviewing, planning, or changing work governed by a Product Spec. Treat .product-spec.md files as the product contract for the work.
productspec-authoring
Writes, validates, and converts ProductSpec files (.product-spec.md), the Markdown format for recording product intent before implementation. Use when authoring a new Product Spec, converting an existing PRD or feature doc into one, validating spec files locally or in CI, or recording how a spec's intent changed over…
product-principles
Defines 4 Risks confidence thresholds, OST hierarchy levels, Knowledge Pyramid tiers, and state design requirements. Use when evaluating user stories, setting confidence scores, referencing OST levels, scoping MVP, or determining validation sufficiency.
recipe-define
Orchestrate PRD creation from validated hypotheses — standard PRD output with 4 Risks confidence and hypothesis traceability.
recipe-validate
Orchestrate hypothesis validation through type-appropriate methods — prototypes, code analysis, market research, and expert review.
hypothesis-discipline
Manages hypothesis lifecycle, enforces validation criteria, time budgets, and confidence scoring rules. Use when creating hypotheses, updating confidence scores, setting validation criteria, handling timeouts, or recording validation results.