SUMMARY AI summary by gpt-5-mini
Idea Harness is a small "clarification" skill for AI coding agents that converts a one-line, fuzzy app idea into a precise, machine-safe requirements brief. It’s designed for non-programmers or makers who fear LLMs will fill gaps with unwanted assumptions; it prevents autonomous guesswork by enforcing confirmed facts. Key features: - Seven decision-tree clarification thresholds and four precision checks - Deterministic state machine: gathering → needs-precision → blocked → ready - Asks one critical question at a time; Socratic follow-ups to expose hidden assumptions - Emits a requirements brief only when all checks pass; execution prompts generated only on explicit request Repo is skill-only (no runtime deps) and includes SKILL.md, STATE-MACHINE.md, PRECISION-GATE.md, OUTPUTS.md, examples. Recommended for turning vague ideas into minimal, correct first versions; not for full PRDs or immediate coding.
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Owner
Sun Yat-sen University,major in software engineering.
Dates
| Created on GitHub | 2026-04-29 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 18:21 |
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