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 skills add lisihao/Solar --skill savegit 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/skills/lisihao/solar/save)<a href="https://agentmods.dev/skills/lisihao/solar/save"><img src="https://agentmods.dev/badge/skills/lisihao/solar/save/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/skills/lisihao/solar/save"><img src="https://agentmods.dev/badge/skills/lisihao/solar/save.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 | $0.00016 | $0.00512 |
| Opus 5 | $0.00008 | $0.00256 |
| Sonnet 5 | $0.00003 | $0.00102 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
save 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 7d 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
/save - 会话检查点
功能
保存当前会话状态到 .solar/session.md，包括：
- 项目状态 (git 分支、未提交变更)
- 当前任务和待办事项
- 关键决策和进展摘要
- 最近修改的文件
执行步骤
-
收集项目状态
# 在项目根目录创建 .solar 目录 mkdir -p .solar/history -
生成会话摘要 (用一段话总结)
- 当前正在做什么任务
- 已完成的关键步骤
- 下一步计划
- 遇到的问题或阻塞
-
写入检查点文件
.solar/session.md# Session Checkpoint > 保存时间: [时间戳] > 恢复命令: `/restore` ## 任务摘要 [一段话描述当前任务和进展] ## 当前阶段 - 阶段: P[0-5] - 状态: [进行中/阻塞/待验证] ## 待办事项 - [ ] 任务1 - [x] 已完成任务 ## 关键文件 - `file1.ts` - 作用描述 - `file2.py` - 作用描述 ## 关键决策 - 决策1: 原因 - 决策2: 原因 ## 下一步 1. 具体行动1 2. 具体行动2 -
备份历史 (保留最近10个)
自动触发
以下情况应主动调用 /save:
- 完成一个阶段 (P1/P2/P3/P4/P5)
- 做出重要决策
- 遇到需要用户确认的问题
- 任务暂停或切换
输出
✓ Checkpoint saved: .solar/session.md
任务: [任务摘要]
阶段: P[x]
下一步: [下一步行动]
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.
- 7d ago First seen · 82 lines · 16 tokens per session scan A d7f173331fda
save is a skill published in the GitHub repository lisihao/Solar (2 stars, last pushed 28d ago), licensed MIT. It adds 16 tokens to every session and 512 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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