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.
git clone --depth 1 https://github.com/product-on-purpose/pm-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/commands/product-on-purpose/pm-skills/workflow-customer-discovery)<a href="https://agentmods.dev/commands/product-on-purpose/pm-skills/workflow-customer-discovery"><img src="https://agentmods.dev/badge/commands/product-on-purpose/pm-skills/workflow-customer-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/commands/product-on-purpose/pm-skills/workflow-customer-discovery"><img src="https://agentmods.dev/badge/commands/product-on-purpose/pm-skills/workflow-customer-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 | $0.00015 | $0.00313 |
| Opus 5 | $0.00008 | $0.00156 |
| Sonnet 5 | $0.00003 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
workflow-customer-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 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.
What it actually says
Run the Customer Discovery workflow to transform raw research into a clear, validated problem worth solving.
This workflow uses multiple skills in sequence. For each step, read the skill instructions and follow them to create the artifact.
Workflow Steps
Step 1: Interview Synthesis
Use the discover-interview-synthesis skill from skills/discover-interview-synthesis/SKILL.md.
Synthesize raw research inputs (interview transcripts, survey responses, support tickets) into structured findings with patterns, quotes, and themes.
Step 2: JTBD Canvas
Use the define-jtbd-canvas skill from skills/define-jtbd-canvas/SKILL.md.
Frame the customer's underlying jobs, desired outcomes, and current alternatives using themes from Step 1.
Step 3: Opportunity Tree
Use the define-opportunity-tree skill from skills/define-opportunity-tree/SKILL.md.
Map desired outcomes from the JTBD canvas into a prioritized opportunity tree.
Step 4: Problem Statement
Use the define-problem-statement skill from skills/define-problem-statement/SKILL.md.
Create a clear problem framing grounded in the research evidence from previous steps.
Output
Create all four artifacts in sequence, ensuring each builds on the previous.
Reference the Customer Discovery workflow at _workflows/customer-discovery.md for additional guidance.
Context from user: $ARGUMENTS
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 First seen · 42 lines · 15 tokens per session scan A 1df6d1e13713
workflow-customer-discovery is a command published in the GitHub repository product-on-purpose/pm-skills (663 stars, last pushed yesterday), licensed Apache-2.0. It adds 15 tokens to every session and 313 once invoked, about $0.0001 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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