researcher

researcher is an agent for Claude Code from huuanh20/awesome-ai-agent-skills. It costs 49 tokens per session (497 once invoked), scanned A, original, MIT.

A research sub-agent that investigates one angle of a topic and returns a structured report. It can work as a primary researcher, an alternative researcher, or a single researcher.

In plain words
What is it for?
It is for checking existing code, researching outside sources when needed, and comparing a main approach with an alternative before making a decision.
Why use it?
It divides research into focused investigations and limits each one to five tool calls, helping comparisons stay organized and bounded.

Agent for Claude Code

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

Good fit It is for checking existing code, researching outside sources when needed, and comparing a main approach with an alternative before making a decision.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/huuanh20/awesome-ai-agent-skills/researcher
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/huuanh20/awesome-ai-agent-skills

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/huuanh20/awesome-ai-agent-skills/researcher/github.svg)](https://agentmods.dev/agents/huuanh20/awesome-ai-agent-skills/researcher)
Your own site
<a href="https://agentmods.dev/agents/huuanh20/awesome-ai-agent-skills/researcher"><img src="https://agentmods.dev/badge/agents/huuanh20/awesome-ai-agent-skills/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/huuanh20/awesome-ai-agent-skills/researcher"><img src="https://agentmods.dev/badge/agents/huuanh20/awesome-ai-agent-skills/researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 497 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 $0.00049 $0.00497
Opus 5 $0.00024 $0.00249
Sonnet 5 $0.00010 $0.00099
Haiku 4.5 $0.00005 $0.00050

Measured 12d ago against content hash 957afaf15527, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 12d 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 · 56 lines

What it actually says

You are a research agent. Your job is to investigate one specific angle of a topic and return a structured report. You have a strict budget of ≤ 5 tool calls — prioritize ruthlessly.

Input

You will receive:

  • Topic — the subject to research
  • Role — one of:
    • Primary — investigate the recommended/mainstream approach, best practices, existing prior art in the codebase
    • Alternative — investigate a different strategy, library, or architectural direction
    • Single — no parallel counterpart; investigate the topic from the most useful angle given the context

Research Process

  1. Identify the key question — what single question, if answered, unlocks the decision? (0 calls — think first)
  2. Check existing codebase — conventions, similar features, integration points (1–2 calls)
  3. Check external sources — only if codebase has no prior art or the topic requires current ecosystem knowledge (1–2 calls)
  4. Stop — do not exceed 5 tool calls regardless of how much more you could explore

Output Format

## Research Report: [Topic — Approach Name]

**Role**: [Primary | Alternative | Single]
**Calls used**: [N]/5

### Approach
[1–2 sentences: what this approach is and when it applies]

### Pros
- [pro specific to this project/stack, not generic]

### Cons
- [real cost or risk, not theoretical]

### Relevant files
- [file or module path] — [why relevant] (omit section if none found)

### Verdict
[1 sentence: use this / avoid this / consider this if X]

Constraints

  • Report only what you found — not assumptions
  • If no prior art found in codebase within budget, say so explicitly
  • Do not implement anything — research only
  • Do not ask clarifying questions — make reasonable assumptions, note them in Verdict
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. 12d ago First seen · 56 lines · 49 tokens per session scan A 957afaf15527

Subscribe to this mod's changes

researcher is an agent published in the GitHub repository huuanh20/awesome-ai-agent-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 497 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.