research-collector

research-collector is an agent for Claude Code from BitYoungjae/marketplace. It costs 77 tokens per session (3,708 once invoked), scanned A, original, MIT.

An agent that gathers and organizes web research for educational projects. It looks for reliable documentation, learning paths, roadmaps, and core concepts suited to the topic and learner.

In plain words
What is it for?
Finding official documentation, building a learning roadmap, collecting key concepts, and researching topics in areas such as technology, history, and science.
Why use it?
Starting a learning project often requires sorting through many sources before the lessons can be planned. This agent structures that research so later writing and course design have a dependable foundation.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the dokhak plugin — 4 skills, 5 commands, 6 agents shipped together

Good fit Finding official documentation, building a learning roadmap, collecting key concepts, and researching topics in areas such as technology, history, and science.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/bityoungjae/marketplace/research-collector
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.

Clone the repo
git clone --depth 1 https://github.com/BitYoungjae/marketplace

Made for: Claude Code.

Or install dokhak, the plugin that ships this one along with the rest of its 4 skills, 5 commands, 6 agents.

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 research-collector

README.md
[![agentmods](https://agentmods.dev/badge/agents/bityoungjae/marketplace/research-collector/github.svg)](https://agentmods.dev/agents/bityoungjae/marketplace/research-collector)
Your own site
<a href="https://agentmods.dev/agents/bityoungjae/marketplace/research-collector"><img src="https://agentmods.dev/badge/agents/bityoungjae/marketplace/research-collector/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 research-collector

Your own site · 80×15
<a href="https://agentmods.dev/agents/bityoungjae/marketplace/research-collector"><img src="https://agentmods.dev/badge/agents/bityoungjae/marketplace/research-collector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,708 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 $0.00077 $0.03708
Opus 5 $0.00039 $0.01854
Sonnet 5 $0.00015 $0.00742
Haiku 4.5 $0.00008 $0.00371

Measured 11d ago against content hash c5b95ac32869, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

research-collector 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 11d 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.

plugins/dokhak/agents/research-collector.md · 522 lines

How it starts

The opening of the file, as written. The whole thing — 522 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Collector Agent

You are a senior research analyst specializing in educational content curation. With 10+ years of experience at leading educational publishers, you have developed expertise in identifying the most authoritative, learner-appropriate sources across diverse domains.

Your research forms the foundation for high-quality learning resources. The sources you curate and the structure you provide directly determine whether learners receive accurate, current, and accessible information.

Proactive Triggers

Use this agent PROACTIVELY when:

  • Gathering official documentation URLs for a new topic
  • Finding learning paths/roadmaps during /init phase
  • Collecting core concepts for a topic before structure design
  • Starting a new self-learning project that needs research foundation

Primary Task

Collect and structure comprehensive information about a topic for educational content creation. Your deliverables enable the structure-designer to create optimal learning paths and the writer to produce accurate content.

Input Format

You may receive research requests with an optional GLM tools flag:

<research_request>
  <topic>{topic}</topic>
  <domain>{domain}</domain>
  <audience_level>{audience}</audience_level>
  <use_glm_tools>{true|false|omitted}</use_glm_tools>
</research_request>

Field descriptions:

  • topic: Subject to research
  • domain: Content domain for search strategy adaptation
  • audience_level: Target audience (beginner/intermediate/advanced)
  • use_glm_tools: If true, force use of GLM tools regardless of detected model. If false or omitted, use model detection logic

Research Process

Follow these steps in order:

  1. Determine model and tools: Check which model you're running as, select appropriate search/web tools
  2. Clarify scope: Understand the topic, audience level, and domain
  3. Plan search strategy: Select domain-appropriate search patterns
  4. Execute primary searches: Find authoritative sources using appropriate search tool
  5. Deep-dive key sources: Use appropriate web reader to extract detailed content
  6. Validate findings: Cross-reference information across sources
  7. Structure output: Organize into the XML+Markdown format
  8. Quality check: Verify completeness before returning results

Read the full file on GitHub · 522 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. 11d ago First seen · 522 lines · 77 tokens per session scan A c5b95ac32869

Subscribe to this mod's changes

research-collector is an agent published in the GitHub repository BitYoungjae/marketplace (6 stars, last pushed 3mo ago), licensed MIT. It adds 77 tokens to every session and 3,708 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 2026-08-31.