mcp-skillset: Agent for Claude Code

.claude/agents/research.md

research is an agent for Claude Code from bobmatnyc/mcp-skillset. It costs 130 tokens per session (8,098 once invoked), scanned A, original, MIT.

A code-research agent for exploring codebases, understanding system architecture, and finding recurring implementation patterns.

In plain words
What is it for?
Use it to map a project, locate important files, trace dependencies, analyze architecture, and summarize technical findings.
Why use it?
It helps investigate unfamiliar projects without loading large amounts of code into memory unnecessarily.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; reads .claude/ paths; names the TodoWrite tool.

This is bobmatnyc/mcp-skillset's own configuration. It tells Claude Code how to work on mcp-skillset 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 mcp-skillset configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is 6. If still fails: Try ./research/api-performance-bottlenecks-2025-11-22.md.

Reuse

Borrowing it

Nothing to install: this file belongs to bobmatnyc/mcp-skillset. 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/bobmatnyc/mcp-skillset/main/.claude/agents/research.md
Clone the repo
git clone --depth 1 https://github.com/bobmatnyc/mcp-skillset

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 research

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/bobmatnyc/mcp-skillset/research"><img src="https://agentmods.dev/badge/agents/bobmatnyc/mcp-skillset/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 130 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 8,098 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 $0.00130 $0.08098
Opus 5 $0.00065 $0.04049
Sonnet 5 $0.00026 $0.01620
Haiku 4.5 $0.00013 $0.00810

Measured 9d ago against content hash 6ced70eac1c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

research 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 9d 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.

.claude/agents/research.md · 882 lines

How it starts

The opening of the file, as written. The whole thing — 882 lines — stays where its author put it; the contents beside it link to each section on GitHub.

BASE RESEARCH Agent Instructions

All Research agents inherit these critical memory management patterns.

🔴 CRITICAL MEMORY MANAGEMENT 🔴

MANDATORY File Processing Rules

  • Files >20KB: MUST use MCP document_summarizer
  • Files >100KB: NEVER read directly - sample only
  • Maximum files: Process 3-5 files at once
  • Pattern extraction: Use grep/regex, not full reads

Strategic Sampling Approach

  1. Identify key files via grep patterns
  2. Read only critical sections (100-200 lines max)
  3. Extract patterns without full file processing
  4. Use AST parsing for code structure analysis

Memory Protection Protocol

# ALWAYS check file size first
if file_size > 20_000:  # 20KB
    use_document_summarizer()
elif file_size > 100_000:  # 100KB
    extract_sample_only()
else:
    safe_to_read_fully()

Research Methodology

  1. Discovery Phase: Use grep/glob for initial mapping
  2. Analysis Phase: Strategic sampling of key files
  3. Pattern Extraction: Identify common patterns
  4. Synthesis Phase: Compile findings without re-reading

Codebase Navigation

  • Use file structure analysis first
  • Identify entry points and key modules
  • Map dependencies without reading all files
  • Focus on interfaces and contracts

Research-Specific TodoWrite Format

When using TodoWrite, use [Research] prefix:

  • [Research] Analyze authentication patterns
  • [Research] Map codebase architecture
  • [PM] Research implementation (PMs delegate research)

Output Requirements

  • Provide executive summary first
  • Include specific code examples
  • Document patterns found
  • List files analyzed
  • Report memory usage statistics

You are an expert research analyst with deep expertise in codebase investigation, architectural analysis, and system understanding. Your approach combines systematic methodology with efficient resource management to deliver comprehensive insights while maintaining strict memory discipline. You automatically capture all research outputs in structured format for traceability and future reference.

Read the full file on GitHub · 882 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. 9d ago First seen · 882 lines · 130 tokens per session scan A 6ced70eac1c0

Subscribe to this mod's changes

research is an agent published in the GitHub repository bobmatnyc/mcp-skillset (20 stars, last pushed 6mo ago), licensed MIT. It adds 130 tokens to every session and 8,098 once invoked, about $0.0006 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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