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 mattgierhart/PRD-driven-context-engineering --skill prd-v01-problem-framinggit clone --depth 1 https://github.com/mattgierhart/PRD-driven-context-engineeringWrote 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/mattgierhart/prd-driven-context-engineering/prd-v01-problem-framing)<a href="https://agentmods.dev/skills/mattgierhart/prd-driven-context-engineering/prd-v01-problem-framing"><img src="https://agentmods.dev/badge/skills/mattgierhart/prd-driven-context-engineering/prd-v01-problem-framing.svg" alt="Measured on agentmods" 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 | $0.00087 | $0.01717 |
| Opus 5 | $0.00044 | $0.00859 |
| Sonnet 5 | $0.00017 | $0.00343 |
| Haiku 4.5 | $0.00009 | $0.00172 |
Grade A, and why
prd-v01-problem-framing 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 8d 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Problem Framing Skill
Transform market signals into evidence-anchored problem statements.
Consumes
This skill assumes you have zero prior research. It is the starting point.
- No prior CFD- entries needed
- No prior PR D required
- Assumes: Founder/PM has observed market signals but hasn't validated them
Produces
This skill creates/updates:
- CFD-* entries (customer feedback) — 1-5 per problem dimension, with confidence scoring (see PRINCIPLES.md)
- PRD.md Why section — Evidence-anchored problem statement table
- MVP scope signal — Identifies which problem dimensions will drive MVP feature scope (handed to v0.3)
All CFD- entries should include:
confidence: 1-3/5(pre-product research, no usage data)- Evidence source (competitive analysis, interviews, workarounds, etc.)
- Forward target: "Would move to 4/5 if we observe 10+ paying customers with this pain"
Workflow Overview
- Assess gaps → Identify what evidence is missing before you can confidently state a problem
- Anchor evidence → Create CFD- entries for each pain point dimension with confidence scoring
- Extract dimensions → Pull multiple distinct problems from each source
- Quantify costs → Add time/money/risk numbers to make pain concrete
- Draft statement → Populate the problem table, tied to CFD- entries
Core Output Template
Populate this table for every problem statement:
| Element | Definition | Evidence |
|---|---|---|
| Who is hurting? | Specific, findable, countable persona | Segment size |
| What pain exists? | Observable behavior or workflow friction | CFD-ID |
| Cost of problem | Time, money, or opportunity lost | Quantified |
| Why now? | Market trigger creating urgency | Trend/event |
| What's impossible? | Opportunity cost—what can't they do | User quote |
See assets/problem-statement.md for copy-paste template.
Step 1: Gap Assessment
Before drafting, create this status table:
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.
- 8d ago First seen · 179 lines · 87 tokens per session scan A 1fc6abc72156
prd-v01-problem-framing is a skill published in the GitHub repository mattgierhart/PRD-driven-context-engineering (182 stars, last pushed 7d ago), licensed MIT. It adds 87 tokens to every session and 1,717 once invoked, about $0.0004 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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