opt-researcher

opt-researcher is an agent for Claude Code from NTCoding/claude-skillz. It costs 25 tokens per session (1,258 once invoked), scanned A, original, no licence file.

A research agent for examining what Claude Code can do and turning the findings into structured suggestions for improving its setup.

In plain words
What is it for?
It helps investigate Claude Code features and prepare proposals for an optimization team.
Why use it?
It provides a separate review of available capabilities when deciding how to optimize an agent workflow.

Agent for Claude Code

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

Part of the optimization-team plugin — 2 agents shipped together

Good fit It helps investigate Claude Code features and prepare proposals for an optimization team.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/ntcoding/claude-skillz/opt-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/NTCoding/claude-skillz

Made for: Claude Code.

Or install optimization-team, the plugin that ships this one along with the rest of its 2 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 opt-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/ntcoding/claude-skillz/opt-researcher/github.svg)](https://agentmods.dev/agents/ntcoding/claude-skillz/opt-researcher)
Your own site
<a href="https://agentmods.dev/agents/ntcoding/claude-skillz/opt-researcher"><img src="https://agentmods.dev/badge/agents/ntcoding/claude-skillz/opt-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 opt-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/ntcoding/claude-skillz/opt-researcher"><img src="https://agentmods.dev/badge/agents/ntcoding/claude-skillz/opt-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,258 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 unknown 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 $0.00025 $0.01258
Opus 5.5 $0.00010 $0.00503
Sonnet 5.5 $0.00005 $0.00252
Haiku 4.5 $0.00003 $0.00126

Measured 1mo ago against content hash 4d8f0c239a0a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

opt-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 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.

optimization-team/agents/opt-researcher.md · 178 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 178 lines · 25 tokens per session scan A 4d8f0c239a0a

Subscribe to this mod's changes

opt-researcher is an agent published in the GitHub repository NTCoding/claude-skillz (356 stars, last pushed 7mo ago), with no licence file. It adds 25 tokens to every session and 1,258 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 2026-08-30.

Related

Other agents, from other repositories

playwright-test-generator

Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

AVM Owner Triage

Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.

github/awesome-copilot · 61 tokens

Ultimate Transparent Thinking Beast Mode

Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.

github/awesome-copilot · 11 tokens

Context7-Expert

Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.

github/awesome-copilot · 22 tokens

code-reviewer

Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.

anthropics/claude-cookbooks · 52 tokens