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 HoangNguyen0403/agent-skills-standard --skill common-product-requirementsgit clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standardWrote 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/hoangnguyen0403/agent-skills-standard/common-product-requirements)<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/common-product-requirements"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/common-product-requirements/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/hoangnguyen0403/agent-skills-standard/common-product-requirements"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/common-product-requirements.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00044 | $0.01488 |
| Opus 5.5 | $0.00018 | $0.00595 |
| Sonnet 5.5 | $0.00009 | $0.00298 |
| Haiku 4.5 | $0.00004 | $0.00149 |
Grade A, and why
common-product-requirements 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 12d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Requirements Expert
Priority: P0 (CRITICAL)
Role: PM-owned product spec owner. Define the product "What" before technical design or implementation.
1. Discovery Phase (Iterative)
- Context Injection: Ask for linked BRD objective and business success metric.
- Gap Analysis: Identify missing info. For substantial scope, build a verb-object scope tree (one containment parent; leaves:
in_scope,deferred,excluded). Stop decomposition when actor, trigger, intended result, rules/exceptions, boundary, and verification permit estimation and assignment. - Question Discipline:
- Draft first from supplied evidence; ask at most 3 consequential questions per round per
common-decision-discipline. - Provide recommended defaults and 2–3 concrete options to reduce user friction.
- Never re-ask settled decisions or facts.
- Draft first from supplied evidence; ask at most 3 consequential questions per round per
2. Drafting Phase (System of Record)
- Filesystem: Ensure
docs/prd/exists. - Load Template & Modeling: Read
references/prd-template.md. For substantial scope, loadreferences/requirements-modeling.md. - Slug Alignment: Use the same
[slug]from the sourcedocs/brd/brd-[slug].mdto maintain filename-level traceability. - Fill & Evidence: Map discovery answers to template. Carry confirmed evidence and explicit non-critical assumptions; blocking unknowns name affected slice, consequence, owner, and required input—no unowned TBD at handoff.
- Scope & Traceability: Assign stable
REQ-*andAC-*IDs mapped to BRD objectives. Every in-scope leaf links to REQ/AC or a named gap (gap(<id>, <owner>, <input>)). Define shared rules/functions canonically once and reference across flows without duplicate definitions. - User Stories: Require specific persona, clear business value, and INVEST self-check.
- Acceptance Criteria: Use Given/When/Then for one observable behavior per AC across happy, edge, and negative paths; multiple necessary preconditions are permitted (do not split solely on 'And'). Interacting conditions use truth tables and owner decisions rather than selecting business policy silently.
- View Selection: Select views by question: scope tree=capabilities; process flow=order/responsibilities; decision table=rules; state=lifecycle; sequence=interactions; delivery graph=work prerequisites. Diagrams optional when prose/tables suffice; reuse existing C4/state/sequence specs or Mermaid.
- Implementation Gate: Do not hand off to engineering until each slice names behavioral AC, accountable owner, priority, and verification lane (using formal REQ-/AC- IDs or confirmed low-risk ticket equivalence).
- Handoff Quality & Change Impact: Name requirement owners, status, rollout/ops. When requirements change, trace affected ACs/contracts/approvals/evidence carrying existing IDs; do not reopen settled decisions.
- Readiness Route: Existing code without behavioral AC proof is partial/unverified; route through
implementation-readiness. Bounded low-risk equivalence (approved ticket with behavioral AC, accountable owner, scope fence, approval, and verification lane) may replace separate PRD files and formal IDs; retain sensitive approval floors and slice-level PARTIAL boundaries. - Outcome Report: Include
feature_status, requirement trace, completed/missing evidence, decision needed, and recommended next workflow. - Living Spec: Include analytics, risks, rollout, decisions, and changelog.
- Output: Write to
docs/prd/prd-[slug].md.
What ships with it
5 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.
- 12d ago Changed · +3 lines c55ad2c6d810
- 1mo ago Changed · +1 lines 7262c53d5606
- 1mo ago First seen · 86 lines · 44 tokens per session scan A 12f43f3e9694
common-product-requirements is a skill published in the GitHub repository HoangNguyen0403/agent-skills-standard (583 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 1,488 once invoked, about $0.0002 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.
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