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 sandbaseai/sandbase-skills --skill prdgit clone --depth 1 https://github.com/sandbaseai/sandbase-skillsWrote 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/sandbaseai/sandbase-skills/prd)<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/prd"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/prd/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/sandbaseai/sandbase-skills/prd"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/prd.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 | $0.00034 | $0.01125 |
| Opus 5.5 | $0.00014 | $0.00450 |
| Sonnet 5.5 | $0.00007 | $0.00225 |
| Haiku 4.5 | $0.00003 | $0.00112 |
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 1mo 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Requirements Document (PRD)
Overview
Design comprehensive, production-grade Product Requirements Documents (PRDs) that bridge the gap between business vision and technical execution. This skill works for modern software systems, ensuring that requirements are clearly defined.
When external product, market, or technical evidence is needed, read the SandBase API map. Resolve the listed capability with sandbase_discover, inspect its returned name with sandbase_inspect, then follow execute_as to call sandbase_run(name: "<returned name>", arguments: { ... }) using only the current schema. For async results, poll sandbase_run_get with the returned run_id within the task budget; report pending or failed runs without automatically resubmitting them.
When to Use
Use this skill when:
- Starting a new product or feature development cycle
- Translating a vague idea into a concrete technical specification
- Defining requirements for AI-powered features
- Stakeholders need a unified "source of truth" for project scope
- User asks to "write a PRD", "document requirements", or "plan a feature"
Operational Workflow
Phase 1: Discovery (The Interview)
Before drafting the PRD, identify material knowledge gaps and ask only for information that cannot be safely inferred or marked TBD.
Ask about:
- The Core Problem: Why are we building this now?
- Success Metrics: How do we know it worked?
- Constraints: Budget, tech stack, or deadline?
Phase 2: Analysis & Scoping
Synthesize the user's input. Identify dependencies and hidden complexities.
- Map out the User Flow.
- Define Non-Goals to protect the timeline.
Phase 3: Technical Drafting
Generate the document using the Strict PRD Schema below.
PRD Quality Standards
Requirements Quality
Use concrete, measurable criteria. Avoid "fast", "easy", or "intuitive".
# Vague (BAD)
- The search should be fast and return relevant results.
- The UI must look modern and be easy to use.
# Concrete (GOOD)
+ The search must return results within 200ms for a 10k record dataset.
+ The search algorithm must achieve >= 85% Precision@10 in benchmark evals.
+ The UI must follow the 'Vercel/Next.js' design system and achieve 100% Lighthouse Accessibility score.
What ships with it
1 file 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.
- 1mo ago Changed 87c937556f39
- 2mo ago First seen · 145 lines · 34 tokens per session scan A 9ff06ce83499
prd is a skill published in the GitHub repository sandbaseai/sandbase-skills (206 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 1,125 once invoked, about $0.0001 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 2026-09-03.
prd compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| prdsandbaseai/sandbase-skills | Skill | 206 | 1mo ago | Apache-2.0 | A | 34 | Claude Code |
| quantum-amplitude-amplificationxi-zhao/OpenQuantum | Skill | 71 | yesterday | MIT | A | 64 | Claude Code, Codex |
| quantum-aqcxi-zhao/OpenQuantum | Skill | 71 | yesterday | MIT | A | 63 | Claude Code, Codex |
| quantum-hamiltonian-qspxi-zhao/OpenQuantum | Skill | 71 | yesterday | MIT | A | 61 | Claude Code, Codex |
| quantum-heat-1dxi-zhao/OpenQuantum | Skill | 71 | yesterday | MIT | A | 76 | Claude Code, Codex |
| clifft-samplingxi-zhao/OpenQuantum | Skill | 71 | yesterday | MIT | A | 50 | Claude Code, Codex |
| deepquantum-differentiablexi-zhao/OpenQuantum | Skill | 71 | yesterday | MIT | A | 46 | Claude Code, Codex |