hypothesis
Turn a product opportunity or proposed change into a falsifiable product hypothesis with target user, expected behavior, success and guardrail measures, risk…
Skill by ThorStarlord
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/thorstarlord-hypothesis
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/hypothesis
What's inside
- Skill name
hypothesis- Description
- Turn a product opportunity or proposed change into a falsifiable product hypothesis with target user, expected behavior, success and guardrail measures, risk assumptions, validation approach, and kill criteria. Use when the active agent has a product-hypothesis responsibility and needs a testable bet before implementation. Produce hypothesis_statement and never treat a validation plan as experiment evidence.
- License
- MIT
- Instructions
- 39 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- methodology.md · references/
- output-contract.md · references/
SKILL.md (first lines)
# Hypothesis Satisfy a `product_hypothesis` responsibility by producing `hypothesis_statement`. ## Inputs Require a target user/segment, an opportunity/problem, and a proposed intervention or belief to test. Prefer an `opportunity_map` and relevant evidence when available. ## Procedure 1. Read [references/methodology.md](references/methodology.md). 2. Express one falsifiable belief linking intervention, target, expected user behavior/outcome, measure, and decision horizon. 3. Separate user behavior from internal business metric where possible. 4. Define a primary measure plus secondary or guardrail measures only when useful and observable. 5. Identify consequential assumptions across value, usability, viability, and feasibility. 6. Define the evidence need and a bounded validation approach, preferring the lowest-cost sufficient evidence source. If empirical work is material, apply `../using-sensemaking/references/experiment-economy-v1.md` before recommending an experiment. 7. Preserve explicit success, pivot, and kill criteria before results exist. 8. Cite supporting evidence and label unsupported premises as assumptions. 9. Render [references/output-contract.md](references/output-contract.md) and return control. ## Stop or downgrade - If success cannot be falsified under any result, rewrite the hypothesis before returning it. - If baseline or target values are unknown, keep them unknown or explicitly proposed; do not present invented numbers as observations. - Do not claim the hypothesis passed or failed without actual experiment or operational evidence. - Do not launch the test without separate external-action authority when the test changes external state. ## Boundary ```text hypothesis != experiment warrant validation approach != experiment requirement validation approach != validation evidence hypothesis card != experiment result ``` This Skill may describe what evidence would discriminate the hypothesis, but Experiment Economy owns whether an experiment is warranted.
From ThorStarlord/sensemaking-skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 7
- Last commit (this folder)
- Sep 21, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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acceptance-criteria
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Cite this page
hypothesis skill. Agent Mart. https://agentmart.dev/skills/thorstarlord-hypothesis (last updated 2026-10-24)