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 benchmarkgit 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/benchmark)<a href="https://agentmods.dev/skills/lisihao/solar/benchmark"><img src="https://agentmods.dev/badge/skills/lisihao/solar/benchmark/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/benchmark"><img src="https://agentmods.dev/badge/skills/lisihao/solar/benchmark.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 | $0.00007 | $0.00258 |
| Opus 5.5 | $0.00003 | $0.00103 |
| Sonnet 5.5 | $0.00001 | $0.00052 |
| Haiku 4.5 | $0.00001 | $0.00026 |
Grade A, and why
benchmark 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 1mo 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
性能基准测试
使用 Ops Agent 运行基准测试。
测试要求
- 最少 10 次迭代
- 使用中位数报告
- 剔除异常值 (IQR 方法)
- 报告标准差
步骤
- 识别基准测试目标
- 运行多次迭代
- 收集性能数据
- 统计分析
- 与基线对比
输出格式
基准测试结果:
├── 测试: <name>
├── 迭代: <n> 次
├── 中位数: <value> ms
├── 标准差: <value> ms
├── 最小值: <value> ms
├── 最大值: <value> ms
└── vs 基线: <ratio>x
注意事项
- 使用中位数而非平均值
- 剔除明显异常值
- 保持测试环境一致
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.
- 1mo ago First seen · 47 lines · 7 tokens per session scan A e2426a779d64
benchmark is a skill published in the GitHub repository lisihao/Solar (3 stars, last pushed 2mo ago), licensed MIT. It adds 7 tokens to every session and 258 once invoked, about $0.0000 per session on Opus 5.5. 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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