Borrowing it
Nothing to install: this file belongs to ZJUFangzh/nanocc. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ZJUFangzh/nanocc/main/CLAUDE.mdgit clone --depth 1 https://github.com/ZJUFangzh/nanoccWrote 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/zjufangzh/nanocc/claude-md)<a href="https://agentmods.dev/instructions/zjufangzh/nanocc/claude-md"><img src="https://agentmods.dev/badge/instructions/zjufangzh/nanocc/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/zjufangzh/nanocc/claude-md"><img src="https://agentmods.dev/badge/instructions/zjufangzh/nanocc/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.02405 | $0.02405 |
| Opus 5 | $0.01203 | $0.01203 |
| Sonnet 5 | $0.00481 | $0.00481 |
| Haiku 4.5 | $0.00241 | $0.00241 |
Grade A, and why
nanocc 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 8d 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — nanocc 项目指南
项目概述
nanocc 是 Claude Code 2.1.88 的 Python 精简复刻,目标 ~10,000 行。
定位为纯 agent runtime:既可作为 CLI 日常使用,也可作为 Agent SDK 嵌入到上层产品。
IM 接入(Telegram/Slack/...)、桌面 GUI、多 session 编排等产品层功能由独立的 cowork 项目实现,
不在 nanocc 范围内。详见 docs/cowork-boundary.md。
关键文件
ARCHITECTURE.md— 完整架构规划(10 个 Phase),任何设计决策都以此为准docs/progress.md— 开发进度和已完成的 Phase 记录docs/cowork-boundary.md— nanocc 与 cowork 的边界,cowork 项目消费 nanocc 的方式../claude-code-main/— Claude Code 源码参考
技术栈
- Python >=3.11,用
uv管理依赖和运行 - 构建: hatchling(
pyproject.toml) - CLI: click + rich
- LLM: anthropic SDK(原生)+ openai SDK(兼容层)
- 默认 Provider: openrouter(OpenAI 兼容 API)
- 类型系统: dataclass(不用 Pydantic)
配置
Provider/Model/API Key 通过 ~/.nanocc/settings.json(全局)或 .nanocc/settings.json(项目级)配置:
{
"provider": "openrouter",
"model": "qwen/qwen3.5-flash-02-23",
"apiKey": "sk-or-v1-..."
}
自定义 OpenAI 兼容 API:
{
"provider": "custom",
"apiBaseUrl": "https://my-api.com/v1",
"model": "my-model",
"apiKey": "..."
}
优先级:/model 会话覆盖 > CLI 标志 > 环境变量 > settings.json > 内置默认值
已知 provider:openrouter、anthropic、openai(自动匹配 baseUrl)。
其他名字走 OpenAI 兼容(custom),需配 apiBaseUrl。
常用命令
# 运行(配好 settings.json 后无需额外参数)
uv run nanocc -p "prompt" # 单轮
uv run nanocc # REPL
uv run nanocc -c # 恢复上次会话
uv run nanocc -m qwen/qwen3.5-flash --api-key $KEY # CLI 标志覆盖 settings
# REPL 中切换模型 / 恢复会话
> /model # 查看当前模型
> /model qwen/qwen3.5-flash-02-23 # 切换模型
> /resume # 列出并恢复历史会话
# 安装为全局 CLI(editable 模式,改代码立即生效)
uv tool install -e . # 推荐:装到 ~/.local/bin/nanocc
pip install -e . # 备选:装到当前 Python 环境
# 装完后任意目录直接运行 nanocc,无需 uv run
# 开发
uv run python -c "import nanocc" # 验证导入
uv run python -m nanocc --help # CLI 帮助
# 测试
uv run pytest tests/ -v # 全量测试(170 个)
uv run pytest tests/test_query.py -v # 单模块测试
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.
- 8d ago First seen · 169 lines · 2,405 tokens per session scan A a135fcd8b815
nanocc CLAUDE.md is an instructions file published in the GitHub repository ZJUFangzh/nanocc (5 stars, last pushed 5mo ago), licensed MIT. It adds 2,405 tokens to every session, about $0.0120 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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