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/andrii-su/datoon/claude-mdgit clone --depth 1 https://github.com/andrii-su/datoonWhat 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 | $0.01617 | $0.01617 |
| Opus 5 | $0.00809 | $0.00809 |
| Sonnet 5 | $0.00323 | $0.00323 |
| Haiku 4.5 | $0.00162 | $0.00162 |
Grade A, and why
datoon 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 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md - datoon
This file is the maintainer guide for agents working in this repository. It explains source-of-truth files, generated mirrors, and checks that must stay green.
Project Overview
datoon is a smart JSON-to-TOON gateway for LLM data workloads. It converts structured JSON only when the payload is a good TOON candidate and estimated token savings clear the configured threshold.
It ships as:
- Python package under
src/datoon/; - CLI command
datoon; - MCP server command
datoon-mcp; - Claude Code plugin metadata under
.claude-plugin/; - Codex plugin under
plugins/datoon/; - standalone skill artifact
datoon.skill; - docs and benchmarks.
Repository Layout
datoon/
├── README.md # Product overview and benchmark summary
├── INSTALL.md # User install guide
├── CONTRIBUTING.md # Contributor workflow
├── CLAUDE.md # Maintainer guide for agents
├── SECURITY.md
├── pyproject.toml
├── uv.lock
│
├── src/datoon/ # Python package source
│ ├── analyzer.py # Payload structure suitability checks
│ ├── converter.py # JSON normalization, TOON CLI call, policy gating
│ ├── models.py # Config/report/outcome dataclasses
│ ├── cli.py # CLI entrypoint
│ └── mcp_server.py # MCP server tools
│
├── skills/datoon/ # Skill source of truth
│ ├── SKILL.md # LLM-facing behavior
│ └── README.md # Human-facing skill docs
│
├── SKILL.md # Mirrored skill copy
├── datoon/SKILL.md # Mirrored skill copy for .skill layout
├── plugins/datoon/ # Codex plugin distribution
├── datoon.skill # ZIP artifact containing datoon/SKILL.md
│
├── benchmarks/
│ ├── payloads.json # Main benchmark payload config
│ ├── run.py # JSON/TOON efficiency benchmark
│ └── agent_skill_eval/ # Saved subagent evaluation artifacts
│
├── scripts/
│ ├── validate_skill_sync.py # Mirror/archive consistency check
│ ├── ab_skill_benchmark.py # Claude CLI A/B benchmark harness
│ └── summarize_agent_skill_eval.py # Summarizes saved subagent artifacts
│
├── tests/ # Unit and integration tests
├── docs/ # Static docs site
└── .github/workflows/ # CI, release, publish, skill sync
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 · 176 lines · 1,617 tokens per session scan A 1890e79c7fe6
datoon CLAUDE.md is an instructions file published in the GitHub repository andrii-su/datoon (2 stars, last pushed 9d ago), licensed MIT. It adds 1,617 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.
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