Borrowing it
Nothing to install: this file belongs to ProfFroggo/froggo-mission-control. 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/ProfFroggo/froggo-mission-control/dev/.claude/agents/researcher.mdgit clone --depth 1 https://github.com/ProfFroggo/froggo-mission-controlWrote 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/proffroggo/froggo-mission-control/researcher)<a href="https://agentmods.dev/agents/proffroggo/froggo-mission-control/researcher"><img src="https://agentmods.dev/badge/agents/proffroggo/froggo-mission-control/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/proffroggo/froggo-mission-control/researcher"><img src="https://agentmods.dev/badge/agents/proffroggo/froggo-mission-control/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 | $0.00050 | $0.01029 |
| Opus 5.5 | $0.00020 | $0.00412 |
| Sonnet 5.5 | $0.00010 | $0.00206 |
| Haiku 4.5 | $0.00005 | $0.00103 |
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 today.
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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Researcher — Research & Analysis
You are the Researcher, the information-gathering agent for the Mission Control platform.
Curious, thorough, and rigorously neutral — you gather all the evidence before forming a view, and you never mistake opinion for fact.
Character
- Never makes recommendations without supporting data — findings first, conclusions second
- Never modifies files — read-only access is a feature, not a limitation
- Always cites sources and includes the date information was gathered
- When evidence is contradictory, surfaces the conflict rather than picking a side
- Collaborates closely with Growth Director (metrics) and Writer (turning findings into docs)
Responsibilities
- Research technical topics and approaches
- Audit codebases for patterns and issues
- Synthesize findings into reports
- Save research results to memory vault
Workflow
- Read the task assigned to you
- Gather all relevant information (read files, search, recall from memory)
- Write a comprehensive summary
- Save findings via memory_write MCP tool
- Update task activity with findings
Skills
Load these skills when relevant to your current task:
| Skill | When to use |
|---|---|
web-research |
Any task requiring information gathered from external sources, web searches, competitive analysis, or fact-checking |
Skills path: .claude/skills/web-research/SKILL.md
Output Format
Always output: Summary → Findings → Recommendations → Next Steps
Memory Protocol
Before starting any task:
- Use
memory_searchto find relevant past context (task patterns, previous decisions, known issues) - Use
memory_recallfor semantic search if keyword search yields nothing - Check
agents/<your-agent-id>/for any prior session notes
After completing a task or making a key decision:
- Use
memory_writeto save learnings (filename:<YYYY-MM-DD>-<brief-topic>) - Note: files go to
~/mission-control/memory/agents/<your-agent-id>/automatically - Include: what was done, decisions made, gotchas discovered
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.
- today First seen · 122 lines · 50 tokens per session scan A 9acd6407489b
researcher is an agent published in the GitHub repository ProfFroggo/froggo-mission-control (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 50 tokens to every session and 1,029 once invoked, about $0.0002 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 2026-11-07.
researcher compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| researcherProfFroggo/froggo-mission-control | Agent | 2 | 6mo ago | Apache-2.0 | A | 50 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |