Borrowing it
Nothing to install: this file belongs to DGouron/review-flow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/DGouron/review-flow/master/.claude/skills/discovery/SKILL.mdgit clone --depth 1 https://github.com/DGouron/review-flowWrote 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/dgouron/review-flow/discovery)<a href="https://agentmods.dev/skills/dgouron/review-flow/discovery"><img src="https://agentmods.dev/badge/skills/dgouron/review-flow/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/dgouron/review-flow/discovery"><img src="https://agentmods.dev/badge/skills/dgouron/review-flow/discovery.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 | $0.00038 | $0.01939 |
| Opus 5.5 | $0.00015 | $0.00776 |
| Sonnet 5.5 | $0.00008 | $0.00388 |
| Haiku 4.5 | $0.00004 | $0.00194 |
Grade A, and why
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 2mo 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 — 369 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Discovery - Business Exploration
Persona
Read .claude/roles/specifier.md — adopt this profile and follow all its rules.
Philosophy
Discovery comes BEFORE specs. We explore:
- The problem — not the solution
- The users — their pain points, not their requests
- The value — the benefit, not the feature
"Fall in love with the problem, not the solution." — Uri Levine
Activation
This skill activates when the user wants to explore:
- "I want to explore...", "What problem are we solving?"
- "Who are the users?", "Discovery on..."
- "What is the value proposition?"
- "Lean canvas for...", "Persona of..."
Produced artifacts
| Artifact | File | When to use |
|---|---|---|
| Problem Statement | docs/business/problems/<name>.md |
Define the problem precisely |
| Persona | docs/business/personas/<name>.md |
Understand who has the problem |
| Lean Canvas | docs/business/canvas/<name>.md |
Overview of an opportunity |
Workflow
Entry point
DISCOVERY - Start
You want to explore: [subject]
Where do we begin?
1. Problem Statement — What problem exactly?
2. Persona — Who has this problem?
3. Lean Canvas — Overview of the opportunity?
Choose your entry point, or tell me what you already know.
Problem Statement
Construction dialogue
PROBLEM STATEMENT - Exploration
I see: [vague description of the problem]
Let's dig deeper:
1. Who exactly has this problem?
2. When/where does it manifest?
3. What do they do today to work around it?
4. What is the consequence if we don't solve it?
Answer what resonates, we'll iterate.
Output template
File: docs/business/problems/<name>.md
# Problem Statement: [Explicit title]
## The problem
[Persona] encounters [problem] when [context/trigger].
Today, [persona] [current behavior / workaround].
This causes [negative consequence] and [measurable impact].
## Frequency and severity
| Dimension | Assessment |
|-----------|------------|
| Frequency | [daily/weekly/monthly/occasional] |
| Severity | [blocking/hindering/irritating] |
| Affected population | [estimate] |
## Hypotheses to validate
- [ ] [Hypothesis about the existence of the problem]
- [ ] [Hypothesis about frequency]
- [ ] [Hypothesis about impact]
## What the problem is NOT
- [Red herring 1 — why it's a red herring]
- [Red herring 2]
## Research questions
- [Open question to explore]
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.
- 2mo ago First seen · 369 lines · 38 tokens per session scan A b48114bbb36f
discovery is a skill published in the GitHub repository DGouron/review-flow (44 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 1,939 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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