Borrowing it
Nothing to install: this file belongs to wei9072/aegis. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/wei9072/aegis/main/AGENTS.mdgit clone --depth 1 https://github.com/wei9072/aegisWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/wei9072/aegis/agents-md)<a href="https://agentmods.dev/instructions/wei9072/aegis/agents-md"><img src="https://agentmods.dev/badge/instructions/wei9072/aegis/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/wei9072/aegis/agents-md"><img src="https://agentmods.dev/badge/instructions/wei9072/aegis/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02698 | $0.02698 |
| Opus 5.5 | $0.01079 | $0.01079 |
| Sonnet 5.5 | $0.00540 | $0.00540 |
| Haiku 4.5 | $0.00270 | $0.00270 |
Grade C, and why
aegis AGENTS.md scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
cargo --version || curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y && source "$HOME/.cargo/env" Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
cargo --version || curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y && source "$HOME/.cargo/env" How it starts
The opening of the file, as written. The whole thing — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instructions for AI coding agents (Claude Code, Cursor, Aider, etc.)
This file tells you, the AI agent, how to help a user adopt Aegis V2 in their project. The user almost certainly typed something like "add Aegis to my repo". Follow these commands verbatim; don't paraphrase, don't skip.
If anything in this file conflicts with your interpretation of README.md, follow this file. README is for human evaluators; this is for you.
What Aegis V2 is, in one paragraph
A judgment-free MCP server for LLM-driven coding workflows. The
single tool, validate_file, returns structured findings about
a proposed file write — syntax errors, structural-smell deltas,
security pattern matches, cross-file cycles, broken-caller lists.
Aegis does not block writes, does not rank findings, does not say
"this is bad". You — the consuming agent — decide which findings
to act on. Aegis only ensures the data is on the table.
Full design context: README.md. Read that when the
user asks "what does this thing do".
Setup — the canonical install sequence
V2 ships a single binary: aegis-mcp. Run these from the user's
home or workspace dir.
# 0. Prerequisites
git --version
cargo --version || curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y && source "$HOME/.cargo/env"
# 1. Clone, enter
git clone https://github.com/wei9072/aegis ~/aegis
cd ~/aegis
# 2. Build + install. ~1-2 min first time.
cargo install --path crates/aegis-mcp
# 3. Verify (do not skip)
which aegis-mcp # confirms $PATH installation
aegis-mcp --version 2>&1 | head -1 || echo "(aegis-mcp does not have --version; absence of 'command not found' is the success signal)"
After step 3 succeeds, aegis-mcp is ready to be configured as an
MCP server in your client.
Common breakage:
cargo: command not found→ restart shell orsource "$HOME/.cargo/env".failed to compile aegis-core→rustup update(need 1.74+).
Integration — configure the MCP client
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 263 lines · 2,698 tokens per session scan C 27e14830a6f3
aegis AGENTS.md is an instructions file published in the GitHub repository wei9072/aegis (1 stars, last pushed 5mo ago), licensed MIT. It adds 2,698 tokens to every session, about $0.0108 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.