research-worker

research-worker is an agent for Claude Code from acogood/diffmode_free. It costs 129 tokens per session (2,280 once invoked), scanned A, original, Apache-2.0.

A web-research worker for a growth-planning workflow. It loads instructions for a chosen research stage, reads supplied files, researches the web, saves the result, and returns a short status summary.

In plain words
What is it for?
Use it to research diagnostics, competitors, acquisition tactics, platform changes, cross-industry examples, or growth factors and save each stage's output.
Why use it?
It handles the repeatable file-reading and research work so the main workflow does not need to manage each research stage manually.

Agent for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: model in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the diffmode-growth-tactics plugin — 13 skills, 1 command, 5 agents shipped together

Good fit Use it to research diagnostics, competitors, acquisition tactics, platform changes, cross-industry examples, or growth factors and save each stage's output.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add acogood/diffmode_free
Claude Code
/plugin install diffmode-growth-tactics

Made for: Claude Code.

Or install diffmode-growth-tactics, the plugin that ships this one along with the rest of its 13 skills, 1 command, 5 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-worker

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/acogood/diffmode_free/research-worker"><img src="https://agentmods.dev/badge/agents/acogood/diffmode_free/research-worker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 129 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,280 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 $0.00129 $0.02280
Opus 5.5 $0.00052 $0.00912
Sonnet 5.5 $0.00026 $0.00456
Haiku 4.5 $0.00013 $0.00228

Measured 1mo ago against content hash dc264ed4d8d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

research-worker 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.

plugin/agents/research-worker.md · 149 lines

How it starts

The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.

research-worker

You are a thin, generic worker in the Diffmode growth-tactics pipeline. You do not decide what a good output looks like — that lives in the stage skill. You execute: load the skill, read the inputs, do the research, write the output, report.

Brief you receive

The orchestrator's prompt gives you:

  • skill — the plugin-namespaced stage skill to follow, one of: diffmode-growth-tactics:diagnostics-intake, diffmode-growth-tactics:enrichment-competitors, diffmode-growth-tactics:enrichment-acquisition-tactics, diffmode-growth-tactics:platform-arbitrage, diffmode-growth-tactics:cross-industry (when run in research mode), diffmode-growth-tactics:growth-factors-mining. (The enrichment-audience dimension and the analysis-mode think-tanks are handled by analysis-worker, NOT this worker, because they forbid / do not require web research.)
  • inputs — absolute or workspace-relative paths to read (e.g. the workspace's 01-diagnostics/founder-input.md, 02-enrichment/*.md, the bundled channel menu at ${CLAUDE_PLUGIN_ROOT}/reference/Marketing-Channel-Menu-2026.md). For diagnostics-intake you may instead receive a --url <site> and an empty inputs list.
  • output — the exact path to write (e.g. <slug>/02-enrichment/competitors-analysis.md, or <slug>/03-think-tanks/demand-generation/growth-factors.json).
  • blocking_issues (optional) — present only on a reviewer-driven re-dispatch. A list of specific problems from the previous attempt that you MUST fix this time.

Clean-room rule (growth-factors-mining ONLY) — moat-critical

When skill = diffmode-growth-tactics:growth-factors-mining you build a per-run LIGHT vector database only from freshly researched public case studies. You MUST NOT read, open, glob, or grep anything under tactics_DB/ (the proprietary 576-vector database and its intelligence layer). The skill's value is the clean-room distillation method; its output is deliberately a weaker substitute. If a brief ever points you at tactics_DB/, refuse that path and note it in your summary.

Read the full file on GitHub · 149 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 · 149 lines · 129 tokens per session scan A dc264ed4d8d9

Subscribe to this mod's changes

research-worker is an agent published in the GitHub repository acogood/diffmode_free (165 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 129 tokens to every session and 2,280 once invoked, about $0.0005 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 2026-08-30.

Related

Other agents, from other repositories

campaign-reviewer

Use when a campaign brief, growth metrics design, social proof, or pricing page needs review before it ships. Produces brief, metrics, social-proof, and pricing review documents under growth/campaigns/, growth/metrics/, growth/social-proof/, and growth/pricing/. Verdict PASS, CONDITIONAL, or BLOCK. Blocks "the team…

RBraga01/builder-growth · 80 tokens

growth-strategist

Use when a project needs a growth strategy, channel selection, offer validation, or launch plan defined before execution begins. Produces strategy, channel audit, offer gate, and launch plan documents under growth/strategy/, growth/channels/, growth/offers/, and growth/launches/. Verdict READY, CONDITIONAL, or…

RBraga01/builder-growth · 83 tokens

experiment-designer

Use when designing a growth experiment. Produces a complete experiment design with calculated sample size, duration, stopping rule, and decision rule at growth/experiments/ -design- .md. Blocks experiments that start with "let's test it and see.".

RBraga01/builder-growth · 58 tokens

growth-critic

Use after writing positioning, copy, or experiment designs to audit them against all builder-growth skill gates. Produces a written critique with PASS, CONDITIONAL, or BLOCK verdict at growth/reviews/ / -critique.md.

RBraga01/builder-growth · 51 tokens

messaging-reviewer

Use before any AI product messaging ships externally. Reviews every quantified claim for a source, every capability claim for scope and accuracy, and every "AI" label for specificity. Writes the review to growth/messaging-reviews/ - .md. Blocks unsourced claims and undefined AI labels.

RBraga01/builder-growth · 65 tokens

gtm-brain-orchestrator

Coordinates a GTM Brain build from source inventory through MVP completion, assigning section agents, enforcing the MVP checklist, using Grill-me for interpretation, and maintaining session relay handoffs.

Andytoizer/gtm-brain-builder · 43 tokens