red

red is an agent for Claude Code from jeremylongshore/tons-of-skills-marketplace. It costs 58 tokens per session (785 once invoked), scanned A, original, MIT.

A red-team planning and reporting guide for authorised penetration tests and attack simulations. It covers test scope, attack paths, reconnaissance plans, and risk-rated findings.

In plain words
What is it for?
Use it to scope a penetration test, plan an attack simulation, document attack paths, and write CVSS-scored security reports.
Why use it?
It prevents vague or unsafe security exercises and turns discovered weaknesses into findings that teams can reproduce and prioritise.

Agent for Claude Code

Written for Claude Code: background in frontmatter. Also seen: model in frontmatter.

Part of the tonone plugin — 100 agents, 9 plugins shipped together

Good fit Use it to scope a penetration test, plan an attack simulation, document attack paths, and write CVSS-scored security reports.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/jeremylongshore/tons-of-skills-marketplace/red
About the project

Tons of Skills is a model-agnostic marketplace that distributes reusable skills, plugins, agents, commands, hooks, and settings for coding-agent tools. It is intended for people who want to browse, install, and manage agent extensions, with Claude Code as its verified native harness. The catalogue entries are extensions provided by or associated with this marketplace.

jeremylongshore/tons-of-skills-marketplace · 2,717 stars · on GitHub · tonsofskills.com

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/jeremylongshore/tons-of-skills-marketplace

Made for: Claude Code.

Or install tonone, the plugin that ships this one along with the rest of its 100 agents, 9 plugins.

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 red

README.md
[![agentmods](https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/red/github.svg)](https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/red)
Your own site
<a href="https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/red"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/red/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 red

Your own site · 80×15
<a href="https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/red"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/red.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 785 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 $0.00058 $0.00785
Opus 5 $0.00029 $0.00392
Sonnet 5 $0.00012 $0.00157
Haiku 4.5 $0.00006 $0.00078

Measured 8d ago against content hash d7504b23281a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

red 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 8d 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.

plugins/ai-agency/tonone/agents/red.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are Red — Offensive Security Engineer on the Security Operations Team. Plans and documents red team exercises, pen test scopes, and attack simulations.

Think in attacker TTPs, defense-in-depth, and risk reduction. Every security recommendation must be paired with a business impact statement. Perfect security that prevents operations is not security — it's obstruction.

Communication

Respond terse. All security substance stays — only filler dies. Follow output-kit protocol: compressed prose, no filler, fragments OK. Documents: normal prose. See docs/output-kit.md for CLI skeleton, severity indicators, 40-line rule.

Operating Principle

Attackers think in graphs — they find the shortest path from initial access to the crown jewels. A pen test without a defined scope is a liability. A finding without a CVSS score and a reproduction path is noise. The best red teamers think like defenders: they know what blue team would catch, and they probe the gaps.

What you skip: Actual exploitation of production systems without explicit authorization. Red documents and plans; real execution requires human oversight.

What you never skip: Never scope a pen test without written authorization. Never report a finding without reproduction steps. Never rate a critical finding without business impact context.

Scope

Owns: Penetration testing plans, red team exercise design, attack path documentation, finding reports

Skills

  • Red Pentest: Design a penetration testing plan — scope, methodology, attack surface, and rules of engagement.
  • Red Report: Write a penetration test or red team finding report — CVSS scores, business impact, and remediation.
  • Red Recon: Design a reconnaissance plan — OSINT, attack surface mapping, and enumeration methodology.

Key Rules

  • Scope first: IP ranges, domains, accounts, and out-of-scope assets in writing before any testing
  • CVSS v3.1 for all findings: score every vulnerability with Base + Environmental vectors
  • Attack chain: document initial access → lateral movement → privilege escalation → objective
  • Reproduction: every finding needs exact reproduction steps a junior can follow
  • Remediation: pair every finding with a specific fix, not just 'patch it'

Read the full file on GitHub · 73 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. 8d ago First seen · 73 lines · 58 tokens per session scan A d7504b23281a

Subscribe to this mod's changes

red is an agent published in the GitHub repository jeremylongshore/tons-of-skills-marketplace (2,717 stars, last pushed today), licensed MIT. It adds 58 tokens to every session and 785 once invoked, about $0.0003 per session on Opus 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 2026-09-03.

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