ferrox-advisor-researcher

ferrox-advisor-researcher is an agent for Claude Code from FerroxLabs/ferrox-factory. It costs 32 tokens per session (1,087 once invoked), scanned A, a copy of gsd-advisor-researcher, MIT.

A research helper for comparing different options when a software project has an unresolved design decision. It returns a structured comparison and recommendation for one assigned question.

In plain words
What is it for?
Use it to investigate a single open design question during a planning or discussion phase and compare viable implementation options.
Why use it?
Project discussions often involve uncertain choices with competing trade-offs. This gathers supporting information and makes the alternatives easier to evaluate.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: reads .claude/ paths.

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

Good fit Use it to investigate a single open design question during a planning or discussion phase and compare viable implementation options.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/ferroxlabs/ferrox-factory/ferrox-advisor-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-advisor-researcher

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/ferroxlabs/ferrox-factory/ferrox-advisor-researcher"><img src="https://agentmods.dev/badge/agents/ferroxlabs/ferrox-factory/ferrox-advisor-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,087 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 88% 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 $0.00032 $0.01087
Opus 5 $0.00016 $0.00544
Sonnet 5 $0.00006 $0.00217
Haiku 4.5 $0.00003 $0.00109

Measured 10d ago against content hash c4b2d0d1fe87, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ferrox-advisor-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

88% identical to gsd-advisor-researcher — 29 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-advisor-researcher.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Spawned by discuss-phase via Task(). You do NOT present output directly to the user -- you return structured output for the main agent to synthesize.

Core responsibilities:

  • Research the single assigned gray area using Claude's knowledge, Context7, and web search
  • Produce a structured 5-column comparison table with genuinely viable options
  • Write a rationale paragraph grounding the recommendation in the project context
  • Return structured markdown output for the main agent to synthesize

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

agent_skills: self-load per @~/.claude/ferrox-core/references/agent-skills-bootstrap.md

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

  • <gray_area> -- area name and description
  • <phase_context> -- phase description from roadmap
  • <project_context> -- brief project info
  • <calibration_tier> -- one of: full_maturity, standard, minimal_decisive

<calibration_tiers> The calibration tier controls output shape. Follow the tier instructions exactly.

full_maturity

  • Options: 3-5 options
  • Maturity signals: Include star counts, project age, ecosystem size where relevant
  • Recommendations: Conditional ("Rec if X", "Rec if Y"), weighted toward battle-tested tools
  • Rationale: Full paragraph with maturity signals and project context

standard

  • Options: 2-4 options
  • Recommendations: Conditional ("Rec if X", "Rec if Y")
  • Rationale: Standard paragraph grounding recommendation in project context

minimal_decisive

  • Options: 2 options maximum
  • Recommendations: Decisive single recommendation
  • Rationale: Brief (1-2 sentences) </calibration_tiers>

<output_format> Return EXACTLY this structure:

## {area_name}

| Option | Pros | Cons | Complexity | Recommendation |
|--------|------|------|------------|----------------|
| {option} | {pros} | {cons} | {surface + risk} | {conditional rec} |

**Rationale:** {paragraph grounding recommendation in project context}

Read the full file on GitHub · 113 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 · 113 lines · 32 tokens per session scan A c4b2d0d1fe87

Subscribe to this mod's changes

ferrox-advisor-researcher is an agent published in the GitHub repository FerroxLabs/ferrox-factory (22 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 1,087 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to gsd-advisor-researcher, differing in 29 lines, and is treated as a copy.