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/ldclabs/anda/agents-mdgit clone --depth 1 https://github.com/ldclabs/andaWhat 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 | $0.01786 | $0.01786 |
| Opus 5 | $0.00893 | $0.00893 |
| Sonnet 5 | $0.00357 | $0.00357 |
| Haiku 4.5 | $0.00179 | $0.00179 |
Grade A, and why
anda AGENTS.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 today.
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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance for AI coding agents working in this repository.
Scope
This file applies to the whole ldclabs/anda workspace. Follow more specific
instructions in nested AGENTS.md files if any are added later.
Repository Shape
anda is a Rust workspace for composable AI agent runtimes.
anda_core: stable traits, shared data models, context capabilities, JSON schema helpers, and RPC helpers.anda_engine: runtime orchestration, contexts, model adapters, tools, hooks, memory, subagents, and reusable extensions.anda_engine_server: HTTP server layer for exposing engines.anda_cli: CLI entrypoint for configured engine servers.anda_web3_client: Web3 integration for non-TEE environments.docs/architecture.md: source-level runtime architecture.MCP_INTEGRATION.md: MCP host/client design and boundaries.
Keep anda_core small and dependency-light. Runtime integrations belong in
anda_engine or higher-level crates unless the shared contract genuinely needs
to change.
Working Rules
- Inspect the exact code and docs relevant to the request before editing.
- Preserve user or agent changes already present in the working tree. Do not revert unrelated dirty files.
- Prefer small, behavior-focused changes over broad refactors.
- Keep public API changes coherent across code, docs, examples, and tests.
- Use workspace dependencies from the root
Cargo.toml; do not add duplicate per-crate versions unless there is a clear reason. - Keep generated schemas and protocol-visible names stable. Agent, tool, and provider names must satisfy the function-name rules: lowercase ASCII letters, digits, underscores, and hyphens, starting with a lowercase letter, max 64 bytes.
- When changing model/provider conversion code, preserve raw-history and tool/user message boundaries. Do not merge tool outputs into user messages or lose provider-specific content unless the existing code explicitly does so.
ContentPart/chat_historyis the persisted, provider-neutral history. Provider per-turn intermediate state (Anthropicthinking.signature, GeminithoughtSignature) belongs inCompletionRequest::raw_history, which every adapter sends ahead of the convertedchat_historyand which is scoped to one in-process reasoning round. Do not add provider-specific fields toContentPartto carry such state — an adapter dropping it on the way in is correct by design. Do fix the reverse: converting out ofContentPartmust never emit something the provider rejects (e.g. athinkingblock with an empty signature); omit it instead.
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.
- today First seen · 184 lines · 1,786 tokens per session scan A 0bfa439aaf8a
anda AGENTS.md is an instructions file published in the GitHub repository ldclabs/anda (438 stars, last pushed 25d ago), licensed Apache-2.0. It adds 1,786 tokens to every session, about $0.0089 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 2026-09-01.
Other instructions, from other repositories
eliza AGENTS.md
Instructions for elizaOS/eliza, covering elizaos repository guide, how repository instructions work, naming, before editing and toolchain.
openagent CLAUDE.md
Claude Code instructions for the-open-agent/openagent, covering claude.md, commands, architecture, backend (go / beego) and frontend (react).
agent-zero AGENTS.md
AGENTS.md instructions for agent0ai/agent-zero, covering agent zero dox, purpose, project, root ownership and project-wide contracts.
mue-x CLAUDE.md
Instructions for KorroAi/mue-x, covering mue — self-evolving ai agent for claude code, what you are in mue mode, commands, mode behavior and auto-start.
eliza CLAUDE.md
Instructions for elizaOS/eliza, covering elizaos repository guide, how repository instructions work, naming, before editing and toolchain.
autogpt AGENTS.md
Instructions for wiseaidotdev/autogpt, covering 1. 🎩 managergpt, 2. 👷♀️ architectgpt, 3. 🎨 designergpt (optional) feature flag: img, 4. ⚙️ backendgpt and 5. 🖥️ frontendgpt.