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/aetherheart-ai/aeloon/claude-mdgit clone --depth 1 https://github.com/AetherHeart-AI/AeloonWrote 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/aetherheart-ai/aeloon/claude-md)<a href="https://agentmods.dev/instructions/aetherheart-ai/aeloon/claude-md"><img src="https://agentmods.dev/badge/instructions/aetherheart-ai/aeloon/claude-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 5.1 | $0.01192 | $0.01192 |
| Opus 5 | $0.00596 | $0.00596 |
| Sonnet 5 | $0.00238 | $0.00238 |
| Haiku 4.5 | $0.00119 | $0.00119 |
Grade A, and why
Aeloon CLAUDE.md scanned grade A with 0 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 6d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aeloon — Agent Development Guide
This file is loaded automatically by Claude Code. Read it before making any changes.
Code Style
Tooling
| Tool | Command | Purpose |
|---|---|---|
| ruff | ruff check --fix . |
Lint + auto-fix |
| ruff | ruff format . |
Format |
| pytest | pytest |
Run tests |
Always run both before committing. CI enforces ruff==0.15.6 — use the same version locally.
Key Rules
- Line length: 100 (formatter enforced, E501 silenced)
- Imports: sorted by ruff (isort-compatible)
- Naming:
snake_casefunctions/vars,PascalCaseclasses,UPPER_SNAKEmodule-level constants only - Type hints: required on all public functions and class methods
- Async: prefer
async/awaitfor all I/O; keep sync wrappers thin - Never rename camelCase args that mirror external API contracts — add
# noqa: N803instead
Commit Format (Conventional Commits)
<type>(<scope>): <short summary>
Types: feat, fix, chore, docs, test, refactor, perf, ci
feat(channels): add Discord channel support
fix(cron): prevent duplicate job on restart
chore: bump ruff to 0.15.7
Project Layout
aeloon/
├── agent/ # Core agent loop, context builder, memory, subagents
│ └── tools/ # Tool implementations (filesystem, web, exec, cron, mcp)
├── channels/ # One file per platform (slack.py, telegram.py, ...)
├── cli/ # Typer CLI commands — thin wrappers only
├── config/ # Pydantic schema + loader + path helpers
├── providers/ # LLM provider abstractions + registry
├── skills/ # Built-in skill directories (each has SKILL.md)
└── templates/ # Runtime templates (SOUL.md, AGENTS.md, USER.md, ...)
bridge/ # WhatsApp bridge (Node.js / TypeScript — separate process)
tests/ # pytest test suite
docs/ # Team documentation
Extension Patterns
Add a Channel
# aeloon/channels/myplatform.py
from aeloon.channels.base import BaseChannel
class MyPlatformChannel(BaseChannel):
name = "myplatform"
display_name = "My Platform"
async def start(self) -> None:
# connect and listen; call self._handle_message() on each event
...
async def stop(self) -> None:
...
async def send(self, msg) -> None:
...
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.
- 6d ago First seen · 173 lines · 1,192 tokens per session scan A c52229180586
Aeloon CLAUDE.md is an instructions file published in the GitHub repository AetherHeart-AI/Aeloon (133 stars, last pushed 3mo ago), licensed MIT. It adds 1,192 tokens to every session, about $0.0060 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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).
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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.
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.