AI导哈

智能体工作流

harness-creator

walkinglabs/lea…ineering

Build, audit, and improve harnesses that make AI coding agents reliable: AGENTS.md/CLAUDE.md instruction files, feature/state tracking, verification gates, scope boundaries, session handoff, memory persistence, context budgets, tool-permission safety, and multi-agent coordination. Use this whenever a coding agent is unreliable across sessions — forgets context, drifts out of scope, claims "done" before tests pass, or starts each session inconsistently — or when creating or assessing AGENTS.md, CLAUDE.md, feature_list.json, init.sh, progress.md, or session-handoff files. Reach for it even if the user never says the word "harness."

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安装命令

npx skills add https://github.com/walkinglabs/learn-harness-engineering --skill harness-creator

SKILL.md

Harness Creator

Use this skill to make a repository easier for coding agents to start, stay in scope, verify work, and resume across sessions. Keep the harness small enough that agents actually follow it.

Not for model selection, prompt tuning in isolation, chat UI design, or general app architecture.

Core Model

Every useful coding-agent harness has five subsystems:

Subsystem Minimal artifact Purpose
Instructions AGENTS.md or CLAUDE.md Startup path, working rules, definition of done
State feature_list.json, progress.md Current feature, status, evidence, next step
Verification init.sh or documented commands Tests/checks the agent must run before claiming done
Scope Feature dependencies and done criteria Prevents overreach and half-finished work
Lifecycle session-handoff.md, end-of-session routine Makes the next session restartable

First Move