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 commands/xu-xiang/everything-claude-code-zh/evolvegit clone --depth 1 https://github.com/xu-xiang/everything-claude-code-zhWrote 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/commands/xu-xiang/everything-claude-code-zh/evolve)<a href="https://agentmods.dev/commands/xu-xiang/everything-claude-code-zh/evolve"><img src="https://agentmods.dev/badge/commands/xu-xiang/everything-claude-code-zh/evolve.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 | $0.00016 | $0.00326 |
| Opus 5 | $0.00008 | $0.00163 |
| Sonnet 5 | $0.00003 | $0.00065 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
evolve scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Evolve 命令
在 continuous-learning-v2 中分析并进化直觉（instincts）：$ARGUMENTS
任务说明
执行：
python3 "${CLAUDE_PLUGIN_ROOT}/skills/continuous-learning-v2/scripts/instinct-cli.py" evolve $ARGUMENTS
如果 CLAUDE_PLUGIN_ROOT 不可用，请使用：
python3 ~/.claude/skills/continuous-learning-v2/scripts/instinct-cli.py evolve $ARGUMENTS
支持的参数 (v2.1)
- 无参数：仅进行分析
--generate：同时在evolved/{skills,commands,agents}下生成文件
行为说明
- 使用项目（Project）+ 全局（Global）直觉（instincts）进行分析。
- 显示来自触发器和领域聚类的技能（Skill）/ 命令（Command）/ 智能体（Agent）候选。
- 显示项目（Project）-> 全局（Global）的晋升（Promotion）候选。
- 使用
--generate时，输出路径为：- 项目上下文（Project context）：
~/.claude/homunculus/projects/<project-id>/evolved/ - 全局回退（Global fallback）：
~/.claude/homunculus/evolved/
- 项目上下文（Project context）：
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.
- 4d ago First seen · 37 lines · 16 tokens per session scan A 8e8c0712e41d
evolve is a command published in the GitHub repository xu-xiang/everything-claude-code-zh (1,927 stars, last pushed 6mo ago), licensed MIT. It adds 16 tokens to every session and 326 once invoked, about $0.0001 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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