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/c3-oss/codexcw/agents-mdgit clone --depth 1 https://github.com/c3-oss/codexcwWhat 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 | $0.01621 | $0.01621 |
| Opus 5 | $0.00811 | $0.00811 |
| Sonnet 5 | $0.00324 | $0.00324 |
| Haiku 4.5 | $0.00162 | $0.00162 |
Grade A, and why
codexcw 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 2d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS
Canonical guide for humans and AI coding agents working in this repository. Read this end-to-end before proposing substantial changes.
Project shape
A polyglot monorepo: five independent, idiomatic implementations of the same
agent CLI wrapper — codex exec --json by default, with selectable claude
and grok agents that normalize their streaming JSON into the shared event
model. There is no FFI between the Go and .NET
ports and the Rust side — each implementation is native to its ecosystem; they
share a repo so the spec and test fixtures stay a single source of truth.
- Go (root) — the public Go library
github.com/c3-oss/codexcw. Go module at the repo root (go.mod), CGO-free. Root*.go,cmd/codexcw/(example CLI),internal/,scripts/. crates/codexcw/— the Rust core (codexcwon crates.io), async (tokio), FFI-free.bindings/node/— napi-rs binding + npm package@c3-oss/codexcw(a hand-writtenindex.jswraps the generated native loader).bindings/python/— PyO3 binding (_codexcw) + PyPI packagecodexcw(sync API incodexcw/__init__.py, asyncio facade incodexcw/aio.py).dotnet/— the native .NET port + NuGet packageC3OSS.Codexcw(dotnet/Codexcwlibrary,dotnet/Codexcw.TestsxUnit suite), FFI-free like the Go port.- Generated outputs (gitignored):
bin/,target/,dist/,node_modules/,*.node,*.so,.venv/,dotnet/**/bin/,dotnet/**/obj/,*.nupkg.
Complete usage recipes per language (quickstart, streaming, resume, sandbox /
approval, bypass, batches, structured output, errors — in both sync and async
forms) live in docs/examples/{go,rust,typescript,python,csharp}.md. The Codex
skill (.codex/skills/codexcw/) and the codexcw-expert Claude subagent point
there.
Build, test, develop
Toolchain is pinned in devbox.json (Go + golangci-lint + goreleaser; Rust via
rustup + rust-toolchain.toml; Node + pnpm; Python + uv + maturin; .NET SDK;
plus the quality tools). Enter with devbox shell and run via just. Recipes
are language-namespaced:
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.
- 2d ago First seen · 115 lines · 1,621 tokens per session scan A ee66e10befb9
codexcw AGENTS.md is an instructions file published in the GitHub repository c3-oss/codexcw (1 stars, last pushed 2d ago), licensed CC0-1.0. It adds 1,621 tokens to every session, about $0.0081 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 2026-08-31.
Other instructions, from other repositories
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