Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/ammnt/angie/agents-mdgit clone --depth 1 https://github.com/ammnt/angieWrote 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/ammnt/angie/agents-md)<a href="https://agentmods.dev/instructions/ammnt/angie/agents-md"><img src="https://agentmods.dev/badge/instructions/ammnt/angie/agents-md.svg" alt="Measured on agentmods" 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 | $0.01444 | $0.01444 |
| Opus 5 | $0.00722 | $0.00722 |
| Sonnet 5 | $0.00289 | $0.00289 |
| Haiku 4.5 | $0.00144 | $0.00144 |
Grade B, and why
angie AGENTS.md scanned grade B with 1 finding 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 3d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
USER root # Never run as root How it starts
The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — AI Agent Instructions for Distroless Angie
🎯 Project Overview
Production-ready, security-hardened ANGIE image built from scratch with HTTP/3, QUIC, ECH, and PQC support.
- Base: Scratch (distroless)
- Builder: Alpine Linux (multi-stage)
- Compiler: Clang with
-fhardenedflags - User: 10001:10001 (rootless by design)
- Registry: ghcr.io/ammnt/angie, Docker Hub: ammnt/angie
🏗️ Build System
Key Technologies
- BuildKit with Docker Buildx for multi-stage builds
- Static compilation — no dynamic linking to system libraries
- Mint for image slimming (post-build optimization)
- UPX for binary compression (with careful exclusions)
- Cosign for signing and attestation
Build Arguments (from .env)
BASE_VERSION # Alpine base version
BASE_HASH # Alpine image digest
OPENSSL_VERSION # OpenSSL version
APP_VERSION # Angie version
VCS_REF # Git commit SHA
BUILD_DATE # Build timestamp
Critical Build Constraints
- ❌ NEVER add shell/package manager to final image
- ❌ NEVER add NJS module (security: libxml2/libxslt vulns)
- ❌ NEVER change user from 10001:10001
- ❌ NEVER add ENTRYPOINT scripts (only CMD)
- ✅ MUST compile with
-fhardenedflags - ✅ MUST strip binaries after compilation
- ✅ MUST include HEALTHCHECK
- ✅ MUST support TLS 1.3, QUIC, HTTP/3, ECH, PQC
📁 File Structure Conventions
Dockerfile.template
- Multi-stage:
builder(Alpine) →final(scratch) - Build phases: deps → build → strip → final
- Static linking with musl
- No unnecessary layers (chain RUN commands)
ANGIE Configuration
angie.conf— main configurationdefault.conf— default server blockexample.conf— reference for HTTP/3, ECH, PQC- Listen on 8080 (HTTP) and 8443 (HTTPS) by default
Security Scanning Matrix
- Hadolint → Dockerfile linting
- Trivy/Grype/Snyk/Clair → Vulnerability scanning
- Dockle → CIS benchmark validation
- Syft → SBOM generation (CycloneDX)
- Scout → Docker official scanning
- CodeQL → SAST analysis (separate workflow)
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.
- 3d ago First seen · 185 lines · 1,444 tokens per session scan B ddb9b7a3fef7
angie AGENTS.md is an instructions file published in the GitHub repository ammnt/angie (11 stars, last pushed 8d ago), licensed BSD-2-Clause. It adds 1,444 tokens to every session, about $0.0072 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
appwrite AGENTS.md
AGENTS.md instructions for appwrite/appwrite, covering appwrite, commands, stack, layout and libraries.
icloud-docker AGENTS.md
Instructions for mandarons/icloud-docker, covering icloud docker, quick reference, commands, architecture overview and key conventions.
selfhost-ai CLAUDE.md
Instructions for kossakovsky/selfhost-ai, covering claude.md, project overview, core architecture, key files and installation flow.
sandboxd AGENTS.md
Instructions for tastyeffectco/sandboxd, covering agents.md — operating sandboxd, what this is, prerequisites, install and core api.
MultiGen CLAUDE.md
Instructions for lingyuanli/MultiGen, covering claude.md, architecture, development commands, full stack (docker) and api (local).
nora CLAUDE.md
Instructions for solomon2773/nora, covering claude.md, what this repo is, development commands, docker compose (primary path) and per-service dev (without docker).