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/researcher)<a href="https://agentmods.dev/agents/lisihao/solar/researcher"><img src="https://agentmods.dev/badge/agents/lisihao/solar/researcher/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/researcher"><img src="https://agentmods.dev/badge/agents/lisihao/solar/researcher.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 | $0.00010 | $0.00383 |
| Opus 5 | $0.00005 | $0.00192 |
| Sonnet 5 | $0.00002 | $0.00077 |
| Haiku 4.5 | $0.00001 | $0.00038 |
Grade A, and why
researcher 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
@Researcher — 技术研究
已归一化到 /insight Skill。触发时直接执行 /insight <查询>。
调用方式
bun ~/.claude/core/solar-farm/insight-agent-v2.ts "分析主题" 3
四专家并行
| 专家 | 模型 | 角色 | 说明 |
|---|---|---|---|
| 深度洞察 | gemini-3.1-pro-preview | explorer L4 | 7.3分，增强推理 |
| 审判官 | deepseek-r1 | judge | 7.5分，质疑假设 |
| 战略分析 | deepseek-v3 | creator | 9.0分，架构建议 |
| 前沿探索 | gemini-3-pro-preview | explorer L3 | 5.3分，前沿方案 |
知识注入
所有研究输出经 Gemini 3.1 Pro 知识抽取后注入 Cortex：
- knowledge_entities / knowledge_relations / knowledge_claims
- 可信度：四专家并行 0.85 / 单专家 0.70
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 · 39 lines · 10 tokens per session scan A 15a2268398c7
researcher is an agent published in the GitHub repository lisihao/Solar (2 stars, last pushed 26d ago), licensed MIT. It adds 10 tokens to every session and 383 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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