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 benshapyro/cadre-devkit-claude --skill product-discoverygit clone --depth 1 https://github.com/benshapyro/cadre-devkit-claudeWrote 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/benshapyro/cadre-devkit-claude/product-discovery)<a href="https://agentmods.dev/skills/benshapyro/cadre-devkit-claude/product-discovery"><img src="https://agentmods.dev/badge/skills/benshapyro/cadre-devkit-claude/product-discovery/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/benshapyro/cadre-devkit-claude/product-discovery"><img src="https://agentmods.dev/badge/skills/benshapyro/cadre-devkit-claude/product-discovery.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00030 | $0.01301 |
| Opus 5 | $0.00015 | $0.00651 |
| Sonnet 5 | $0.00006 | $0.00260 |
| Haiku 4.5 | $0.00003 | $0.00130 |
Grade A, and why
product-discovery 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 10d 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Discovery Skill
Transform vague ideas into actionable specifications through structured questioning.
Core Methodology
Questioning Frameworks
Five Whys - Reach root problems:
- "Why is this a problem?" → Surface answer
- "Why does that matter?" → Deeper impact
- Continue until you reach the core motivation
MECE (Mutually Exclusive, Collectively Exhaustive):
- Cover all aspects without overlap
- Users, features, constraints, success criteria
Socratic Probing:
- Never accept surface-level answers
- "Can you give me a specific example?"
- "What would happen if...?"
Discovery Phases
Phase 1: Vision
Key Questions:
- "What moment made you think 'someone should build this'?"
- "If this existed perfectly, walk me through using it tomorrow"
- "Fast forward one year - what changed in the world?"
Phase 2: Core Problem
Key Questions:
- "If you could only solve ONE aspect, which unlocks the most value?"
- "What's the smallest thing that would make one person genuinely grateful?"
- "What part do you understand best? What's still fuzzy?"
Scope Control:
- "If you had budget for only 3 features, which would they be?"
- "Now pick just ONE to prove the concept"
Phase 3: Users
Key Questions:
- "Think of one specific person who needs this. What's their name? Their story?"
- "What do they do immediately before/after using your software?"
- "Which user type would be easiest to satisfy? Hardest?"
Phase 4: Technical
Key Questions:
- "What could you hardcode for MVP that becomes dynamic later?"
- "Which technical decisions can wait until concept is validated?"
- "What existing tools could you leverage instead of building?"
Phase 5: Validation
Key Questions:
- "How would you know, objectively, that MVP is working?"
- "What number would make you confident to continue? What would make you pivot?"
- "What feedback would change your direction most dramatically?"
Phase 6: Scoping
Effort-Based Framing (NOT time-based):
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.
- 10d ago First seen · 200 lines · 30 tokens per session scan A 379d77c3ce8e
product-discovery is a skill published in the GitHub repository benshapyro/cadre-devkit-claude (9 stars, last pushed 9mo ago), licensed MIT. It adds 30 tokens to every session and 1,301 once invoked, about $0.0002 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.
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