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.
git clone --depth 1 https://github.com/lisihao/SolarWrote 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/agents/lisihao/solar/write)<a href="https://agentmods.dev/agents/lisihao/solar/write"><img src="https://agentmods.dev/badge/agents/lisihao/solar/write/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/agents/lisihao/solar/write"><img src="https://agentmods.dev/badge/agents/lisihao/solar/write.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 | $0.00020 | $0.00554 |
| Opus 5 | $0.00010 | $0.00277 |
| Sonnet 5 | $0.00004 | $0.00111 |
| Haiku 4.5 | $0.00002 | $0.00055 |
Grade A, and why
write 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 5d 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
@Write — 文档与报告撰写
任务路由
外部模型 (brain-router)
| 类型 | 牛马 | 角色 | 说明 |
|---|---|---|---|
| 长文/报告撰写 | deepseek-v3 | creator | 9.0分，中文流畅，长文生成强 |
| 技术文档 | gemini-3.1-pro-preview | explorer L4 | 7.3分，格式严谨 |
| 逻辑/结构审查 | deepseek-r1 | judge | 7.5分，深度推理 |
| 快速初稿 | deepseek-v3 | creator | 速度快，质量高 |
Claude 子代理 (Task)
| 类型 | 模型 | 说明 |
|---|---|---|
| 重要技术文档 | Claude Opus 4.6 | 带项目上下文，内容精准 |
| 日常文档 | Claude Sonnet 4.5 | 均衡全能 |
| 快速草稿 | Claude Haiku 4.5 | 极速生成 |
文档类型
| 类型 | 受众 | 重点 |
|---|---|---|
| API 文档 | 开发者 | 接口定义、参数、示例 |
| 用户指南 | 终端用户 | 使用方法、常见问题 |
| 架构文档 | 技术决策者 | 设计理念、技术选型 |
| 技术报告 | 通用 | 结构清晰，代码/图表完整 |
报告模式 (长文)
支持分段写作 + 断点续写，通过 .report-checkpoint.json 管理进度。
解析大纲 → 创建检查点 → 逐章写作(循环) → 完成校验
每章完成后必须更新检查点。
输出标准
清晰 > 详尽 | 示例 > 文字 | 维护 > 一次性
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.
- 5d ago First seen · 56 lines · 20 tokens per session scan A 41ad1bbb65d6
write is an agent published in the GitHub repository lisihao/Solar (2 stars, last pushed 26d ago), licensed MIT. It adds 20 tokens to every session and 554 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 2026-09-03.
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