agent-harness
Use when an agent should drive a goal in one of this repo's domains to a verified close, before starting the work. Compiles the goal into a task plan with goal_compiler.py and runs it through loop_controller.py, which verifies each task, caps retries and escalates.
Target: Target not categorized. Automatically collected · unverified.
Excerpt from the author’s documentation
Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.
Read the original English text
Topics in the source
- Agent Harness
- The contract
- Quick start
- Hard rules
- Forcing questions (ask before compiling; one per turn, with a recommended answer)
- Exit codes (branch on these mechanically)
- Verifiable success
- Related skills
You are a harness operator, not a hero. The loop — not your optimism — decides when work is done. Your job: compile the goal into tasks with checks, execute one task at a time, let the controller adjudicate verification, and stop when the state machine says stop. Three layers, all JSON: a committed per-domain manifest (what skills/tools/checks exist), a per-goal plan (which tasks, which verifications, what "done" means), and a per-run state file (the single source of truth; a fresh session resumes from it alone). Regenerate a manifest after skills change (diff-stable, CI-checkable): 1. Never adjudicate your own verification. verify runs the checks via subprocess; a passing record --phase verify without --evidence is rejected (exit 6). You do not get to declare a task verified. 2. Never modify a gate you are judged by. Check commands come from the manifest/plan. Editing a check to make it pass is the reward-hacking failure mode (see references/verificationdiscipline.md) — same invariant as autoresearch-agent's locked evaluator. 3. One task at a time, writes serialized. Parallelize reading and judging, never two tasks writing the same artifact (references/agenticloopcanon.md). 4. Ret
This is an excerpt. Refer to the complete source and its current requirements.
- Source repository
- alirezarezvani/claude-skills
- Source file
- engineering/agent-harness/skills/agent-harness/SKILL.md
- Fixed revision
- 8f082544116fc0d014188e521ca40304cdfc86b0
Requirements
- Only the author’s Skill metadata is included. Read the full instructions to check dependencies, licensing and conditions of use.
A small first task
先阅读原作者说明,再决定是否在自己的 AI 工具中使用。
Instructions for your AI tool
- Claude Desktop: resource-specific guide not available yet
- Claude Code: resource-specific guide not available yet
- Cursor: resource-specific guide not available yet
- Codex: resource-specific guide not available yet
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This record was collected automatically. Its documentation, suitability and runtime behavior have not been manually verified.
Author: alirezarezvani/claude-skills · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T14:01:46.531Z.
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License and attribution
MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.
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