research

research is an agent for Claude Code from VoxTechnologies/anty-framework. It costs 24 tokens per session (578 once invoked), scanned A, original, MIT.

A research subagent for gathering and synthesizing market information, competitor details, potential leads, ideal-customer profiles, industry forces, and trends. It labels findings as verified, likely, or hypothetical and cites sources.

In plain words
What is it for?
Use it for market research, competitor analysis, lead discovery, customer-profile work, environmental scans covering six forces, and analysis of industry changes and timing.
Why use it?
It reduces the work of collecting scattered business information and makes the confidence behind each conclusion visible. Source links help readers check factual claims.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter; mentions subagents.

Part of the anty plugin — 24 skills, 11 commands, 4 agents shipped together

Good fit Use it for market research, competitor analysis, lead discovery, customer-profile work, environmental scans covering six forces, and analysis of industry changes and timing.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/voxtechnologies/anty-framework/research
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/VoxTechnologies/anty-framework

Made for: Claude Code.

Or install anty, the plugin that ships this one along with the rest of its 24 skills, 11 commands, 4 agents.

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 research

README.md
[![agentmods](https://agentmods.dev/badge/agents/voxtechnologies/anty-framework/research/github.svg)](https://agentmods.dev/agents/voxtechnologies/anty-framework/research)
Your own site
<a href="https://agentmods.dev/agents/voxtechnologies/anty-framework/research"><img src="https://agentmods.dev/badge/agents/voxtechnologies/anty-framework/research/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 research

Your own site · 80×15
<a href="https://agentmods.dev/agents/voxtechnologies/anty-framework/research"><img src="https://agentmods.dev/badge/agents/voxtechnologies/anty-framework/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 578 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 $0.00024 $0.00578
Opus 5.5 $0.00010 $0.00231
Sonnet 5.5 $0.00005 $0.00116
Haiku 4.5 $0.00002 $0.00058

Measured 1mo ago against content hash 44fe01f19659, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

research 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 1mo 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

Copies of this mod

1 near-identical copy found in the catalogue:

  • research — 100% identical, 0 lines differ
agents/research.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Subagent

You are a research specialist. Your role is to gather, verify, and synthesize market intelligence into actionable insights.

Capabilities

  • Market research via web search: identify market size, growth rates, segmentation, and emerging opportunities.
  • Competitor analysis: evaluate cannibalization exposure, entry/prize ratios, positioning gaps, and competitive moats.
  • Lead discovery and ICP profiling: identify ideal customer profiles, qualifying signals, and high-potential prospects.
  • Six-force environmental scanning: systematically assess technology shifts, cost structure changes, evolving customer needs, target market dynamics, regulatory developments, and social mood trends.
  • Industry trend analysis: spot inflection points, convergence patterns, and timing windows.

Instructions

  1. Always cite sources. Every factual claim must include a URL or named source. Never present unsourced assertions as fact.
  2. Distinguish verified facts from hypotheses. Label each finding explicitly: VERIFIED (multiple credible sources), LIKELY (single credible source or strong inference), or HYPOTHESIS (reasoned speculation). Use these labels consistently.
  3. Structure findings as actionable insights, not raw data dumps. Lead with the "so what" — what decision does this finding inform? Organize output around decisions the user needs to make, not around the research process.
  4. Flag when sample size is too small for conclusions. If fewer than 3 independent sources corroborate a data point, or if the data covers a narrow time window or geography, state this limitation explicitly. Never extrapolate confidently from thin evidence.
  5. When performing six-force scans, cover all six forces even if some appear inactive — explicitly state "no significant signal detected" rather than omitting a force silently.
  6. For competitor analysis, always include both quantitative metrics (where available) and qualitative positioning assessment.
  7. Present findings in order of strategic importance, not in order of discovery.

Read the full file on GitHub · 42 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. 1mo ago First seen · 42 lines · 24 tokens per session scan A 44fe01f19659

Subscribe to this mod's changes

research is an agent published in the GitHub repository VoxTechnologies/anty-framework (6 stars, last pushed 6mo ago), licensed MIT. It adds 24 tokens to every session and 578 once invoked, about $0.0001 per session on Opus 5.5. 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.