Antitrust Compliance Policy Review

Antitrust Compliance Policy Review is a skill for Claude Code, Codex from zgbrenner/agentcounsel. It costs 89 tokens per session (2,657 once invoked), scanned A, original, MIT.

A review skill for checking an antitrust compliance policy, competition rules, and related training materials. Antitrust rules are laws that restrict agreements or conduct that unfairly reduce competition.

In plain words
What is it for?
Use it to compare a company’s policy with real risks such as trade-association contacts, benchmarking, algorithmic pricing, and agreements not to hire or to fix wages. It produces coverage matrices, gap assessments, and suggested drafting changes.
Why use it?
It reveals missing topics, jurisdictions, training, reporting, enforcement, and dawn-raid procedures after events such as an investigation, acquisition, or regulatory change. Its results are drafts for a lawyer to review, not a legal approval.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to compare a company’s policy with real risks such as trade-association contacts, benchmarking, algorithmic pricing, and agreements not to hire or to fix wages. It produces coverage matrices, gap assessments, and suggested drafting changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zgbrenner/agentcounsel/antitrust-compliance-policy-review
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.

Any agent
npx skills add zgbrenner/agentcounsel --skill antitrust-compliance-policy-review
Clone the repo
git clone --depth 1 https://github.com/zgbrenner/agentcounsel

Made for: Claude Code, Codex.

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 Antitrust Compliance Policy Review

README.md
[![agentmods](https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/antitrust-compliance-policy-review/github.svg)](https://agentmods.dev/skills/zgbrenner/agentcounsel/antitrust-compliance-policy-review)
Your own site
<a href="https://agentmods.dev/skills/zgbrenner/agentcounsel/antitrust-compliance-policy-review"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/antitrust-compliance-policy-review/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 Antitrust Compliance Policy Review

Your own site · 80×15
<a href="https://agentmods.dev/skills/zgbrenner/agentcounsel/antitrust-compliance-policy-review"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/antitrust-compliance-policy-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,657 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 $0.00089 $0.02657
Opus 5 $0.00044 $0.01328
Sonnet 5 $0.00018 $0.00531
Haiku 4.5 $0.00009 $0.00266

Measured 12d ago against content hash d25723832cf8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

Antitrust Compliance Policy Review 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 12d 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.

skills/antitrust-competition/antitrust-compliance-policy-review/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Antitrust Compliance Policy Review

Purpose

Review a company's antitrust compliance policy and supporting program materials against the conduct patterns its people actually face, producing a topic-coverage matrix, a jurisdiction-coverage matrix, gap assessments for training, reporting, enforcement, dawn-raid protocol, and document-creation guidance, and a drafting-suggestion list. Coverage is tested against the shared antitrust risk-indicator catalog so the policy is measured against the company's real risk environment, not a generic checklist. Everything is a draft for attorney review — the skill never attests compliance, approves the policy, or represents that it meets any jurisdiction's requirements.

Use When

  • The GC asks for a gap review of the antitrust policy after an enforcement action, dawn raid, or internal-audit finding in the company or its industry.
  • An acquisition or new market entry adds jurisdictions (e.g., EU or UK operations) the current policy was never written to cover.
  • Compliance wants to know whether the policy actually addresses trade-association contacts, benchmarking, algorithmic pricing, or labor-market (no-poach / wage-fixing) conduct.
  • The policy is due for a periodic refresh and counsel wants a topic-by-topic and jurisdiction-by-jurisdiction coverage map before redrafting.
  • Sales or HR reports the policy is unusable for their teams, and role-specific audience-fit issues need to be documented.
  • The board or a regulator asks what the compliance program covers, and counsel needs an inventory of training, reporting-channel, discipline, and dawn-raid provisions with gaps flagged.

Required Inputs

  • Jurisdiction(s) the policy must cover — every country and, where relevant, state/province where the company operates and where compliance obligations apply, or [verify jurisdiction].
  • Business scope covered — products, geographies, sales channels, customer segments, M&A activity, JV activity, IP licensing, distribution programs, employment / labor-market activity, public-procurement exposure.
  • Topics in current policy and topics the user wants covered — competitor contacts; pricing and price-signaling; customer or territory allocation; output limitations; information exchange; trade-association participation; distribution restraints (RPM / MAP / territory / online); MFN / parity provisions; exclusivity, loyalty, and rebates; M&A clean teams and gun-jumping; dawn-raid protocol; document-creation guidance; algorithm and AI conduct; reporting and escalation; training; certifications; enforcement and discipline; labor-market conduct (no-poach / wage-fixing); standard-setting.
  • Current policy text and supporting materials — the policy document(s), training materials, prior enforcement actions, internal audits, hotline data summaries (if user-supplied).
  • Triggering events for this review — incident, M&A integration, regulatory development, periodic refresh, agency request, internal audit finding.
  • Jurisdiction-specific obligations the policy must reflect — US Sherman / Clayton / FTC Act; EU Article 101 / 102; UK CA98 / DMCC; sector-specific regimes (e.g., communications, energy, financial services); merger-control regimes the company is subject to.
  • Audience(s) for the policy — sales, marketing, procurement, R&D, executives, board, M&A team, HR. Mark unknowns unknown/not found/not provided/ambiguous.
  • Documents and source anchors — policy file with section references; supporting materials.

Read the full file on GitHub · 125 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. 12d ago First seen · 125 lines · 89 tokens per session scan A d25723832cf8

Subscribe to this mod's changes

Antitrust Compliance Policy Review is a skill published in the GitHub repository zgbrenner/agentcounsel (19 stars, last pushed 1mo ago), licensed MIT. It adds 89 tokens to every session and 2,657 once invoked, about $0.0004 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 2026-08-30.

Related

Other skills, from other repositories

legal-research

A legal research skill for finding and analysing laws and court cases, including similar cases. It requires access to a reliable legal research database before producing a formal report.

code-lawyer/Legal-Agent-Skills · 144 tokens

document-fill

A document-filling assistant that uses a supplied template and case files to fill in forms, contracts, or legal documents. It also reports where each filled value came from and which details are missing.

code-lawyer/Legal-Agent-Skills · 61 tokens

contract-review

A contract-review workflow for agreements governed by Chinese law, United States law, or both. It examines clauses one by one and produces a list of legal-risk questions, with an optional marked-up Word document.

code-lawyer/Legal-Agent-Skills · 86 tokens

fedramp

Expert guidance for FedRAMP certification and compliance under CR26 (FedRAMP Consolidated Rules for 2026). Use this skill whenever a user asks about FedRAMP authorization, ATO (Authority to Operate), cloud security for federal government, NIST SP 800-53 controls, CSP compliance, or any of the core FedRAMP document…

Sushegaad/Claude-Skills-Governance-Risk-and-Compliance · 236 tokens

eu-cra

Expert EU Cyber Resilience Act (CRA) advisor for Regulation (EU) 2024/2847 — mandatory cybersecurity and vulnerability handling requirements for all products with digital elements (PDEs) sold in the EU. Use this skill for gap analysis, product classification (Default / Class I / Class II), conformity assessment route…

Sushegaad/Claude-Skills-Governance-Risk-and-Compliance · 133 tokens

aenderungsvorbehalt-308

Für Änderungsvorbehalt 308: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.

Klotzkette/claude-fuer-deutsches-recht · 41 tokens