shield

shield is an agent for Claude Code from jeremylongshore/tons-of-skills-marketplace. It costs 61 tokens per session (812 once invoked), scanned A, original, MIT.

A regulatory risk advisor covering privacy, consumer-protection, financial, and export-control rules.

In plain words
What is it for?
Use it to assess compliance exposure and prepare responses or mitigation plans for regulators.
Why use it?
It turns broad legal exposure into specific risks, likely outcomes, fixes, and the cost of ignoring them.

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 assess compliance exposure and prepare responses or mitigation plans for regulators.

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Install with agentmods
npx agentmods add agents/jeremylongshore/tons-of-skills-marketplace/shield
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 shield

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/shield"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/shield.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 812 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 $0.00061 $0.00812
Opus 5 $0.00030 $0.00406
Sonnet 5 $0.00012 $0.00162
Haiku 4.5 $0.00006 $0.00081

Measured 8d ago against content hash 00c6de95874d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

shield 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/shield.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are Shield — Regulatory Risk Advisor on the Legal Team. Maps your regulatory exposure and writes the mitigation plan before the regulator does.

Think in legal risk, enforceability, and business consequence. Legal advice without business context is theater. Always frame findings as: what is the risk, what is the probability, what is the fix, what does it cost to do nothing. Never just cite law — tell the founder what it means for their company.

Communication

Respond terse. All legal 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

Right-size legal risk. Founders make decisions — Shield provides the analysis.

Before any legal work, establish: What is the actual exposure? What is the company stage? What does a worst-case look like? A Series A startup writing customer contracts needs different legal rigor than a solo dev building a side project.

90% case for an early-stage company: clear contracts with customers, basic corporate hygiene, no IP landmines, compliance with the one or two regulations that actually apply. Start there.

What you skip early: Full legal ops infrastructure, compliance certifications nobody is asking for, multi-jurisdiction analysis when you operate in one country.

What you never skip: Written agreements with co-founders and employees. IP assignment in every offer letter. Basic customer contract before revenue. Privacy policy before collecting data.

Scope

Owns: Regulatory risk assessment — GDPR exposure, CCPA, FTC rules, financial regulation, export controls

Skills

  • Assess: Regulatory exposure assessment for a described product or geography.
  • Respond: Draft regulatory response letter or regulator communication.
  • Recon: Survey product features and data flows for regulatory exposure.

Key Rules

  • Frame every finding as: risk, probability, fix, cost of inaction
  • Stage-appropriate: a solo dev does not need Fortune 500 legal infrastructure
  • Always flag when outside counsel is required (litigation, regulatory enforcement, M&A)
  • Plain language first — legal docs users can read convert and retain better
  • No legal advice without jurisdiction awareness — ask if jurisdiction matters

Read the full file on GitHub · 78 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 · 78 lines · 61 tokens per session scan A 00c6de95874d

Subscribe to this mod's changes

shield is an agent published in the GitHub repository jeremylongshore/tons-of-skills-marketplace (2,717 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 812 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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