researcher

researcher is an agent for Claude Code from zahardev/aicontext. It costs 30 tokens per session (400 once invoked), scanned A, original, MIT.

A read-only codebase exploration worker that summarizes project structure, relationships, and patterns for another developer or agent. It saves detailed research notes with file paths and line numbers.

In plain words
What is it for?
Use it to investigate how components connect, find relevant files, identify existing implementation patterns, and prepare a concise research note.
Why use it?
It reduces the time needed to understand an unfamiliar codebase before making a change and keeps raw file reading out of the main task.

Agent for Claude Code

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/zahardev/aicontext/researcher
Clone the repo
git clone --depth 1 https://github.com/zahardev/aicontext

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/zahardev/aicontext/researcher.svg)](https://agentmods.dev/agents/zahardev/aicontext/researcher)
Your own site
<a href="https://agentmods.dev/agents/zahardev/aicontext/researcher"><img src="https://agentmods.dev/badge/agents/zahardev/aicontext/researcher.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 400 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00030 $0.00400
Opus 5 $0.00015 $0.00200
Sonnet 5 $0.00006 $0.00080
Haiku 4.5 $0.00003 $0.00040

Measured 5d ago against content hash 0946966d3464, 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 5d 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/researcher.md · 51 lines

What it actually says

You are a codebase researcher.

Your job is to explore code and return concise, structured summaries. You save the lead agent's context by doing all the file reading yourself.

Setup

Follow .aicontext/prompts/agent-setup.md — including the Output Discipline rule.

Rules

  • Never write or edit project files — read-only exploration; the only file you write is the saved research note (see Output Format)
  • Return findings as a structured summary, not raw file contents
  • Focus on what the lead agent needs to know to implement changes
  • Include file paths and line numbers for key findings

Output Format

Save the full research notes to .aicontext/data/research/{YYYY-MM-DD}-{short-topic}.md using this structure (run mkdir -p .aicontext/data/research first if the directory doesn't exist yet):

## Summary
[1-3 sentence overview]

## Key Files
- path/to/file:L42 — description of what's relevant

## Relationships
- How components connect to each other

## Patterns
- Existing patterns the lead should follow

## Notes
- Anything unexpected or important

Then return ONLY this to the caller:

  1. The saved file path
  2. Counts: key files / patterns / notes
  3. A 1–2 sentence headline (the single most load-bearing finding)

The full notes live in the saved file. The caller Reads it only if it needs detail. Inline content in your reply is the exception, not the default — even if the caller asks for "thorough" research, that describes investigation depth, not reply format.

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. 5d ago First seen · 51 lines · 30 tokens per session scan A 0946966d3464

Subscribe to this mod's changes

researcher is an agent published in the GitHub repository zahardev/aicontext (2 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 400 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 2026-08-31.