Borrowing it
Nothing to install: this file belongs to ZhuoZhuoCrayon/ai-workspace. 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/ZhuoZhuoCrayon/ai-workspace/main/.agents/skills/dev-env/SKILL.mdgit clone --depth 1 https://github.com/ZhuoZhuoCrayon/ai-workspaceWrote 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/skills/zhuozhuocrayon/ai-workspace/dev-env)<a href="https://agentmods.dev/skills/zhuozhuocrayon/ai-workspace/dev-env"><img src="https://agentmods.dev/badge/skills/zhuozhuocrayon/ai-workspace/dev-env.svg" alt="Measured on agentmods" 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 | $0.00151 | $0.00518 |
| Opus 5 | $0.00076 | $0.00259 |
| Sonnet 5 | $0.00030 | $0.00104 |
| Haiku 4.5 | $0.00015 | $0.00052 |
Grade A, and why
dev-env 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.
What it actually says
Dev Env
0x01 核心
- 任何项目下都假定
gvm、nvm、uv已装。 gvm、nvm是source进来的 shell 函数,which查不到是正常现象,不要据此判定未安装。- 先跑项目命令,遇到环境类失败再读对应 reference。
- 系统默认版本和项目声明版本不一致(如
go.mod要1.23、系统是1.20)就是本 skill 的场景:先用版本管理器切到目标版本,不要判定环境不可用或跳过、假装跳过编译、测试。 - 版本管理器加载不上或行为异常时,再直连它装好的二进制兜底(见各 reference)。
0x02 Reference
| 语言 | 触发线索 | 文档 |
|---|---|---|
| Go | go.mod、Go 版本或 gvm 报错 |
go.md |
| Node.js | .nvmrc、package.json、Node.js 或 nvm 报错 |
node.md |
| Python | pyproject.toml、uv.lock、.venv、Python 或 uv 报错 |
python.md |
0x03 交付证据
- 说明版本来源、目标版本和版本管理器。
- 列出实际执行的命令。
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 32 lines · 151 tokens per session scan A 5675e45e881b
dev-env is a skill published in the GitHub repository ZhuoZhuoCrayon/ai-workspace (27 stars, last pushed yesterday), licensed MIT. It adds 151 tokens to every session and 518 once invoked, about $0.0008 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 2026-08-30.
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