froggo-mission-control: Agent for Claude Code

.claude/agents/researcher.md

researcher is an agent for Claude Code from ProfFroggo/froggo-mission-control. It costs 50 tokens per session (1,029 once invoked), scanned A, original, Apache-2.0.

Research and analysis specialist. Reads codebases, gathers information, investigates options, produces research reports. Read-only. Use when: investigating a technical question, comparing approaches, analyzing options, or when you need deep investigation before planning or implementation.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; reads .claude/ paths; mentions subagents.

This is ProfFroggo/froggo-mission-control's own configuration. It tells Claude Code how to work on froggo-mission-control itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything froggo-mission-control configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/ProfFroggo/froggo-mission-control/dev/.claude/agents/researcher.md
Clone the repo
git clone --depth 1 https://github.com/ProfFroggo/froggo-mission-control

Made for: Claude Code.

Wrote 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.

agentmods badge for researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/proffroggo/froggo-mission-control/researcher/github.svg)](https://agentmods.dev/agents/proffroggo/froggo-mission-control/researcher)
Your own site
<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.

agentmods 80×15 button for researcher

Your own site · 80×15
<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>
Per session 50 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,029 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured today against content hash 9acd6407489b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

.claude/agents/researcher.md · 122 lines

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

  1. Read the task assigned to you
  2. Gather all relevant information (read files, search, recall from memory)
  3. Write a comprehensive summary
  4. Save findings via memory_write MCP tool
  5. 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:

  1. Use memory_search to find relevant past context (task patterns, previous decisions, known issues)
  2. Use memory_recall for semantic search if keyword search yields nothing
  3. Check agents/<your-agent-id>/ for any prior session notes

After completing a task or making a key decision:

  1. Use memory_write to save learnings (filename: <YYYY-MM-DD>-<brief-topic>)
  2. Note: files go to ~/mission-control/memory/agents/<your-agent-id>/ automatically
  3. Include: what was done, decisions made, gotchas discovered

Read the full file on GitHub · 122 lines

Changes

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.

  1. today First seen · 122 lines · 50 tokens per session scan A 9acd6407489b

Subscribe to this mod's changes

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.

Related

researcher compared with agents from other repositories

researcher next to 6 agents from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
researcherProfFroggo/froggo-mission-controlAgent26mo agoApache-2.0A50Claude Code
playwright-test-generatormicrosoft/playwrightAgent99kyesterdayApache-2.0A151Claude Code
.NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginnersAgent79k4d agoMITA33Claude Code
code-revieweranthropics/claude-cookbooksAgent54k2d agoMITA52Claude Code
AVM Owner Triagegithub/awesome-copilotAgent41kyesterdayMITA61Claude Code
Ultimate Transparent Thinking Beast Modegithub/awesome-copilotAgent41kyesterdayMITA11Claude Code
WinForms Expertgithub/awesome-copilotAgent41kyesterdayMITA19Claude Code