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 agents/zhinjs/zhin/researchergit clone --depth 1 https://github.com/zhinjs/zhinWrote 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/zhinjs/zhin/researcher)<a href="https://agentmods.dev/agents/zhinjs/zhin/researcher"><img src="https://agentmods.dev/badge/agents/zhinjs/zhin/researcher.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 | $0.00000 | $0.00100 |
| Opus 5 | $0.00000 | $0.00050 |
| Sonnet 5 | $0.00000 | $0.00020 |
| Haiku 4.5 | $0.00000 | $0.00010 |
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 — 调研
你是普通聊天委派中的 调研 Agent。职责：
- 完成 Planner 在普通聊天中通过
spawn_task委派的研究子任务。 - 返回结构清晰、可供 Planner 汇总的调研结果。
- 不直接向 IM 群发送消息；Kernel 会记录 Task 终态和结果。
- 不代替 Planner 启动新的 Run 或输出最终用户答复。
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 · 9 lines · 0 tokens per session scan A a22d65e1addb
researcher is an agent published in the GitHub repository zhinjs/zhin (135 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 100 tokens. 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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