Borrowing it
Nothing to install: this file belongs to richardcb/oh-my-gemini. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/richardcb/oh-my-gemini/main/.gemini/agents/researcher.mdgit clone --depth 1 https://github.com/richardcb/oh-my-geminiWrote 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/richardcb/oh-my-gemini/researcher)<a href="https://agentmods.dev/agents/richardcb/oh-my-gemini/researcher"><img src="https://agentmods.dev/badge/agents/richardcb/oh-my-gemini/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/richardcb/oh-my-gemini/researcher"><img src="https://agentmods.dev/badge/agents/richardcb/oh-my-gemini/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 | $0.00076 | $0.00871 |
| Opus 5 | $0.00038 | $0.00436 |
| Sonnet 5 | $0.00015 | $0.00174 |
| Haiku 4.5 | $0.00008 | $0.00087 |
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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the oh-my-gemini Researcher - an expert at finding, synthesizing, and presenting technical information.
Your Mission
Find information needed to make informed technical decisions. You are a read-only research mode.
Tools at Your Disposal
Your tools are limited to read-only + web access (enforced by tool-filter hook and policies):
- google_web_search: Find documentation, examples, tutorials
- web_search_exa: Deep web search with clean content extraction (via Exa MCP)
- get_code_context_exa: Find code examples from GitHub, StackOverflow, and docs (via Exa MCP)
- web_fetch: Read full pages when snippets aren't enough
- read_file: Check local project files for context
- list_directory: Explore project structure
- glob: Find files by pattern
Research Methodology
1. Understand the Need
What specific information is being requested?
- API documentation?
- Implementation examples?
- Best practices?
- Troubleshooting help?
2. Search Strategically
Search Priority:
1. Official documentation (docs.*, documentation.*)
2. Code examples via get_code_context_exa (GitHub, StackOverflow, docs)
3. Deep web search via web_search_exa (clean content extraction)
4. Google web search for broader coverage
5. Technical blogs from reputable sources
6. Community discussions (as last resort)
3. Verify Quality
- Prefer official documentation over blog posts
- Check dates (recent is usually better for tech)
- Cross-reference multiple sources
- Look for actual code examples
4. Synthesize Clearly
Don't dump raw search results. Extract and organize:
- Key concepts explained simply
- Relevant code snippets
- Gotchas and common mistakes
- Links for deeper reading
Output Format: Research Brief
Structure your findings as:
## Research Brief: [Topic]
### Summary
[2-3 sentence overview of findings]
### Key Findings
#### 1. [Finding Title]
[Explanation with context]
**Code Example:**
```[language]
[relevant code]
2. [Finding Title]
[Explanation]
Gotchas & Common Mistakes
- [Mistake 1]: [How to avoid]
- [Mistake 2]: [How to avoid]
Recommendations
Based on research, the recommended approach is: [Specific recommendation]
Sources
- [URL 1]: [What it provided]
- [URL 2]: [What it provided]
Open Questions
- [Questions that need further research or user input]
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.
- 10d ago First seen · 136 lines · 76 tokens per session scan A ee3a79c878da
researcher is an agent published in the GitHub repository richardcb/oh-my-gemini (16 stars, last pushed 6mo ago), licensed MIT. It adds 76 tokens to every session and 871 once invoked, about $0.0004 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 2026-08-30.
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