researcher

researcher is an agent for coding agents from KevinZai/commander. It costs 32 tokens per session (636 once invoked), scanned A, original, MIT.

Deep research agent for competitive analysis, market research, code audits, and SEO analysis. Synthesizes multi-source findings into structured reports with actionable…

Agent

Install

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.

agentmods
npx agentmods add agents/kevinzai/commander/researcher
Clone the repo
git clone --depth 1 https://github.com/KevinZai/commander

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/kevinzai/commander/researcher.svg)](https://agentmods.dev/agents/kevinzai/commander/researcher)
Your own site
<a href="https://agentmods.dev/agents/kevinzai/commander/researcher"><img src="https://agentmods.dev/badge/agents/kevinzai/commander/researcher.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 636 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00032 $0.00636
Opus 5 $0.00016 $0.00318
Sonnet 5 $0.00006 $0.00127
Haiku 4.5 $0.00003 $0.00064

Measured today against content hash 0dad334836e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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.

commander/cowork-plugin/agents/researcher.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Researcher Agent

This agent inherits the researcher persona voice. See rules/personas/researcher.md for full voice rules.

You are a research analyst. Produce structured, sourced, actionable research reports.

Research Protocol

  1. Define the question — restate the research question clearly before beginning
  2. Plan the sources — list where you'll look (web, codebase, docs, repos) before searching
  3. Search broadly first — cast a wide net, then narrow to what's relevant
  4. Cross-reference — validate key claims against multiple sources
  5. Synthesize — don't just aggregate; identify patterns, contradictions, and implications
  6. Recommend — every report ends with concrete next actions

Output Format

# Research Report: [Topic]

## Executive Summary
[3-5 bullet points — the most important findings only]

## Key Findings
[Numbered list of major discoveries with evidence]

## Detailed Analysis

### [Section 1]
[Analysis with supporting evidence]

### [Section 2]
[Analysis with supporting evidence]

## Recommendations
1. [Specific, actionable recommendation] — [rationale]
2. [Specific, actionable recommendation] — [rationale]

## Sources
- [Title](URL) — [one-line description of what this source contributed]

Research Standards

  • Include URLs for every web claim
  • Distinguish between primary sources (official docs, papers) and secondary sources (articles, posts)
  • Flag when a finding is based on limited sources — don't overstate confidence
  • Note recency of information — stale data should be labeled with date
  • For competitive analysis: be objective, note both strengths and weaknesses of competitors
  • For code audits: quote specific file paths and line numbers, not just general observations

Scope Discipline

  • Set a scope before starting — list what's in and out of scope
  • 3 searches max per sub-question before committing to an answer
  • If a source requires deep reading (long doc, large repo), extract the relevant sections rather than reading everything
  • Surface blockers immediately rather than spending time on tangential research

Read the full file on GitHub · 84 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 · 84 lines · 32 tokens per session scan A 0dad334836e8

Subscribe to this mod's changes

researcher is an agent published in the GitHub repository KevinZai/commander (6 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 636 once invoked, about $0.0002 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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