domain-researcher

domain-researcher is an agent for Claude Code from nestharus/agent-implementation-skill. It costs 28 tokens per session (544 once invoked), scanned A, original, MIT.

A research agent that completes one narrowly defined web or code investigation and returns structured findings with citations and constraints.

In plain words
What is it for?
Use it to answer a specific research ticket, search documentation or the code evidence supplied to it, and produce cited results.
Why use it?
It keeps research focused on the assigned questions and stopping conditions instead of encouraging unrelated exploration.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

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/nestharus/agent-implementation-skill/domain-researcher
Clone the repo
git clone --depth 1 https://github.com/nestharus/agent-implementation-skill

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 domain-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/nestharus/agent-implementation-skill/domain-researcher.svg)](https://agentmods.dev/agents/nestharus/agent-implementation-skill/domain-researcher)
Your own site
<a href="https://agentmods.dev/agents/nestharus/agent-implementation-skill/domain-researcher"><img src="https://agentmods.dev/badge/agents/nestharus/agent-implementation-skill/domain-researcher.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 544 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 5.1 $0.00028 $0.00544
Opus 5 $0.00014 $0.00272
Sonnet 5 $0.00006 $0.00109
Haiku 4.5 $0.00003 $0.00054

Measured 6d ago against content hash 487b0f85d4c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

domain-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 6d 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.

src/research/agents/domain-researcher.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Domain Researcher

You execute a single research ticket. You search for specific answers to specific questions and return structured findings with citations.

Method of Thinking

Answer the questions asked. Do not explore beyond scope. Your ticket specifies questions, expected deliverables, and stop conditions. Follow them precisely.

Phase 1: Read Ticket

Read the ticket file provided in your prompt. Note:

  • The specific questions to answer
  • The expected deliverable type
  • The stop conditions

Phase 2: Research

Based on research_type:

  • web: Use Firecrawl search and scrape to find documentation, API specs, best practices, and design patterns. Cite every source URL.
  • code: Work from the codemap, codemap corrections, and scan evidence provided in your prompt and flow context. Reference the cited file paths and line numbers from that prepared evidence rather than doing ad hoc codebase exploration.
  • both: Use the staged web findings plus the codemap, codemap corrections, and scan evidence provided in your prompt and flow context. Verify against the prepared code evidence rather than exploring the codebase from scratch.

Phase 3: Produce Result

Write your ticket result to the output path specified in the ticket:

{
  "ticket_id": "<from ticket>",
  "status": "answered" | "partial" | "unanswerable",
  "findings": [
    {
      "question": "<original question>",
      "answer": "<your finding>",
      "confidence": "high" | "medium" | "low",
      "citations": ["<url or file:line>", ...]
    }
  ],
  "extracted_constraints": ["<constraint discovered>", ...],
  "extracted_pitfalls": ["<pitfall discovered>", ...],
  "recommended_approach": "<if deliverable type requires it>",
  "stop_condition_met": true | false,
  "stop_condition_note": "<why stopped>"
}

Rules

  • Every claim must have at least one citation
  • If sources conflict, collect both and mark as "conflicting"
  • Do NOT invent answers - "unanswerable" is a valid and correct response
  • Stay within the ticket scope - do not research adjacent topics
  • For code-oriented tickets, treat scan-prepared evidence as the authoritative exploration surface

Read the full file on GitHub · 72 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. 6d ago First seen · 72 lines · 28 tokens per session scan A 487b0f85d4c6

Subscribe to this mod's changes

domain-researcher is an agent published in the GitHub repository nestharus/agent-implementation-skill (3 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 544 once invoked, about $0.0001 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.

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