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oneclaw: Instructions file for Claude Code

CLAUDE.md

oneclaw CLAUDE.md is an instructions file for Claude Code from 0xNyk/oneclaw. It costs 1,694 tokens per session, scanned A, original, MIT.

Repository guidance for OneClaw, a Rust-based AI assistant, covering its commands, design, and ways to add implementations.

In plain words
What is it for?
Use it when changing OneClaw, especially when working with its interchangeable service components or adding a new provider, channel, or other implementation.
Why use it?
It gives the coding agent the project-specific information needed to build, test, format, lint, and extend the code correctly.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code; built for openclaw.

This is 0xNyk/oneclaw's own configuration. It tells Claude Code how to work on oneclaw itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything oneclaw configures →

not rated 3repo 2mo ago A scan 1,694 tokens original MIT
View source ↗ 0xNyk/oneclaw
Reuse

Borrowing it

Nothing to install: this file belongs to 0xNyk/oneclaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/0xNyk/oneclaw/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/0xNyk/oneclaw

Made for: Claude Code.

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Per session 1,694 This file is loaded in full into every session.
When invoked 1,694 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01694 $0.01694
Opus 5.5 $0.00678 $0.00678
Sonnet 5.5 $0.00339 $0.00339
Haiku 4.5 $0.00169 $0.00169

Measured 2mo ago against content hash aa37942631fe, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

oneclaw 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 2mo 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.

CLAUDE.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Build & Development Commands

cargo build                    # Dev build
cargo build --release          # Release build (~11MB macOS arm64)
cargo test                     # Run full test suite
cargo test <test_name>         # Run a single test by name
cargo test --test memory_comparison -- --nocapture  # SQLite vs Markdown benchmark
cargo clippy -- -D warnings    # Lint
cargo fmt                      # Format code
cargo fmt -- --check           # Check formatting without modifying

Pre-push hook (runs fmt, clippy, tests): git config core.hooksPath .githooks

CI runs cargo fmt --check, cargo clippy -- -D warnings, and cargo test on every PR.

Architecture

OneClaw is a single-binary Rust AI assistant (~11MB macOS arm64) with a trait-based pluggable architecture. Every major subsystem is defined as a trait, with implementations swappable via config.toml.

Core Traits (the extension points)

Trait File Purpose
Provider src/providers/traits.rs LLM API backends (28+ providers)
Channel src/channels/traits.rs Messaging platforms (CLI, Telegram, Discord, Slack, WhatsApp, iMessage, Matrix)
Memory src/memory/traits.rs Persistence backends (SQLite FTS5+vector, Tiered with importance scoring, Markdown, Vault, noop)
Tool src/tools/traits.rs Agent capabilities (shell, file_read/write, memory_store/recall/forget, browser)
Observer src/observability/traits.rs Metrics/logging (noop, log, OTLP, PII-scrub, multi)
RuntimeAdapter src/runtime/traits.rs Platform adapters (native only; Docker/WASM planned)
SecurityPolicy src/security/policy.rs Sandbox, allowlists, rate limits, filesystem scoping

Adding a new implementation

  1. Create src/<subsystem>/your_impl.rs implementing the trait
  2. Register in src/<subsystem>/mod.rs factory function (e.g., create_provider(), create_memory())
  3. Add inline #[cfg(test)] mod tests {} at the bottom of your file

Read the full file on GitHub · 97 lines

Changes

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.

  1. 2mo ago First seen · 97 lines · 1,694 tokens per session scan A aa37942631fe

Subscribe to this mod's changes

oneclaw CLAUDE.md is an instructions file published in the GitHub repository 0xNyk/oneclaw (3 stars, last pushed 2mo ago), licensed MIT. It adds 1,694 tokens to every session, about $0.0068 per session on Opus 5.5. 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 2026-08-31.

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