ferrox-domain-researcher

ferrox-domain-researcher is an agent for Claude Code from FerroxLabs/ferrox-factory. It costs 78 tokens per session (1,621 once invoked), scanned A, a copy of gsd-domain-researcher, MIT.

A researcher that studies the real-world business area for an AI system and describes what practitioners consider good or risky.

In plain words
What is it for?
Use it before designing evaluations to identify expert criteria, production risks, relevant rules, and the types of professionals who should review the system.
Why use it?
It helps evaluation planning reflect domain-specific expectations, failure modes, regulations, and consequences instead of generic quality checks.

Agent for Claude Code

Written for Claude Code: PostToolUse hook event. Also seen: reads .claude/ paths; mentions OpenCode.

Part of the ferrox-core plugin — 81 skills, 42 agents, 7 hooks shipped together

Good fit Use it before designing evaluations to identify expert criteria, production risks, relevant rules, and the types of professionals who should review the system.

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Install with agentmods
npx agentmods add agents/ferroxlabs/ferrox-factory/ferrox-domain-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/FerroxLabs/ferrox-factory

Made for: Claude Code.

Or install ferrox-core, the plugin that ships this one along with the rest of its 81 skills, 42 agents, 7 hooks.

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 ferrox-domain-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/ferroxlabs/ferrox-factory/ferrox-domain-researcher/github.svg)](https://agentmods.dev/agents/ferroxlabs/ferrox-factory/ferrox-domain-researcher)
Your own site
<a href="https://agentmods.dev/agents/ferroxlabs/ferrox-factory/ferrox-domain-researcher"><img src="https://agentmods.dev/badge/agents/ferroxlabs/ferrox-factory/ferrox-domain-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 ferrox-domain-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/ferroxlabs/ferrox-factory/ferrox-domain-researcher"><img src="https://agentmods.dev/badge/agents/ferroxlabs/ferrox-factory/ferrox-domain-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,621 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 97% copy Near-identical to another mod 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 $0.00078 $0.01621
Opus 5 $0.00039 $0.00811
Sonnet 5 $0.00016 $0.00324
Haiku 4.5 $0.00008 $0.00162

Measured 10d ago against content hash b72d780cdb44, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ferrox-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 10d 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.

Origin

This is a copy

97% identical to gsd-domain-researcher — 16 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agents/ferrox-domain-researcher.md · 150 lines

How it starts

The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.

@~/.claude/ferrox-core/references/untrusted-input-boundary.md

<documentation_lookup> @~/.claude/ferrox-core/references/research-documentation-lookup.md </documentation_lookup>

<required_reading> Read ~/.claude/ferrox-core/references/ai-evals.md — specifically the rubric design and domain expert sections. </required_reading>

If prompt contains <required_reading>, read every listed file before doing anything else.

<execution_flow>

Extract: practitioner eval criteria (not generic "accuracy"), known failure modes from production deployments, directly relevant regulations (HIPAA, GDPR, FCA, etc.), domain expert roles.

Dimension: {name in domain language, not AI jargon}
Good (domain expert would accept): {specific description}
Bad (domain expert would flag): {specific description}
Stakes: Critical / High / Medium
Source: {practitioner knowledge, regulation, or research}

Example:

Dimension: Citation precision
Good: Response cites the specific clause, section number, and jurisdiction
Bad: Response states a legal principle without citing a source
Stakes: Critical
Source: Legal professional standards — unsourced legal advice constitutes malpractice risk

Write contract (hard rules — must follow):

Section 1b of AI-SPEC.md is the output of this step. The orchestrator reads AI-SPEC.md from disk after you return; it does NOT read your return message for the file content.

  1. Default: write the section in a single Write call. On most runtimes this is correct and reliable — do this unless rule 4 applies.
  2. Do NOT return the AI-SPEC.md content in your response. Your return message is a brief confirmation; the content lives on disk.
  3. Do NOT use Bash(cat << 'EOF') or heredoc for file creation. Use the Write tool.
  4. Large-file / truncation fallback. Some runtimes (e.g. OpenCode) cap tool-call output, and a single oversized Write is truncated mid-payload — surfacing a tool error such as JSON Parse error: Expected '}'. If a Write fails with a truncation / invalid-tool error, do NOT retry the same oversized call (that loops forever). Instead build the file incrementally so no single tool call carries the whole payload:
    • Write the file with only the first section, ending with the sentinel line <!-- ferrox:write-continue -->.
    • Read the file, then Edit it, replacing <!-- ferrox:write-continue --> with the next section followed by the sentinel again. Repeat, one section per Edit.
    • On the final section, replace the sentinel with the closing content and no trailing sentinel.
  5. If writing still fails, surface the actual error in your return message. Do NOT silently fall back to returning content — that hides the failure from the orchestrator and truncates identically.

Read the full file on GitHub · 150 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. 10d ago First seen · 150 lines · 78 tokens per session scan A b72d780cdb44

Subscribe to this mod's changes

ferrox-domain-researcher is an agent published in the GitHub repository FerroxLabs/ferrox-factory (22 stars, last pushed 1mo ago), licensed MIT. It adds 78 tokens to every session and 1,621 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to gsd-domain-researcher, differing in 16 lines, and is treated as a copy.