Aegis

<strong>Aegis Method Pack</strong>
Make your AI coding agent trustworthy: fewer reworks, safer changes, proof before "done".

<strong>English</strong>
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<strong>中文</strong>
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Fast-Track Playbook
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速通秘籍

Stop babysitting your agent. Aegis makes your agent plan against your real baseline before it edits, prove completion with fresh evidence, and leave simple tasks alone — you get fewer reworks, safer changes, and less blind trust in "done".

What You Get

Aegis is a method pack that makes AI coding agents work like disciplined engineers — so you don't have to watch them.

• Fewer reworks. Your agent aligns with your project's real baseline — owners, contracts, boundaries — before touching code. It stops guessing, and so do you.
• Safer changes. Measured on a frozen held-out A/B benchmark: contract pass rate 61.67% → 93.33%, unsafe outcomes 13.33% → 0%.
• Proof before "done". Completion claims ship with fresh verification evidence, covered scope, and residual risk. You read evidence, not vibes.
• No ghost code. Retired fallbacks and old paths are tracked or removed with a retirement trigger — technical debt stops accumulating silently.
• Simple tasks stay simple. Trivial requests stay on the fast path; ceremony only appears when the task genuinely needs it.
• UI/UX rules on demand. UI/UX governance carries project design rules, lower user effort, and scoped experience evidence through design, implementation, review, and verification.
• One method pack, every host. The same discipline works across Codex, Claude Code, OpenCode, Kimi, and other skill-aware hosts.

These numbers are bounded advisory evidence from Aegis 2.7.6 (2026-08-11), not a measurement of this release, a universal-quality claim, or completion authority. See the full benchmark and its limitations.

Quick Install

New here? The fastest start is one prompt to your agent — the full install-and-verify flow is below.

Give this prompt to your AI coding agent:

Read https://github.com/GanyuanRan/Aegis, identify my current AI coding host, and install Aegis globally using the correct host guide. If the host is the official DeepSeek Harness (`dsh`), treat global/minimal installation as native profile-plugin installation with `dsh plugin --profile  add "git+https://github.com/GanyuanRan/Aegis.git"`; do not silently substitute the direct-child compatibility path unless the plugin manager is unavailable and I explicitly approve compatibility mode. Restart or reload the host if needed, then run complete-install verification from the installed Aegis method-pack root. Do not run the doctor command from the target project directory. First locate ``, then run `cd  && python scripts/aegis-doctor.py --write-config --json`. Treat the install as complete only if the JSON includes `"ok": true`, `"workspaceSupport": "available"`, and `"configStatus": "configured"`; if the host uses a separate skill discovery directory, also verify it with `--discovery-root `; if the host guide declares a skill directory name prefix, also pass `--discovery-name-prefix `. Also complete the selected host guide's native activation and automatic-entry checks; file discovery or a generic doctor result alone is not sufficient when the host provides a plugin, hook, or session-start bootstrap contract.