Antitrust Risk Intake

Antitrust Risk Intake is a skill for Claude Code, Codex from zgbrenner/agentcounsel. It costs 87 tokens per session (2,428 once invoked), scanned A, original, MIT.

A first-step guide for sorting reports or proposals that may involve competition law, such as competitor contacts, pricing plans, collaborations, or agency inquiries. It organizes the facts for later review by a lawyer; it does not decide whether conduct is legal.

In plain words
What is it for?
Use it to prepare a conduct inventory and triage table from emails, hotline reports, audit findings, investigation news, agency letters, or merger-related concerns.
Why use it?
It turns scattered or unclear information into a consistent list of issues, highlights anything urgent, and directs each issue to the right detailed review.

Skill for Claude CodeCodex

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

Good fit Use it to prepare a conduct inventory and triage table from emails, hotline reports, audit findings, investigation news, agency letters, or merger-related concerns.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zgbrenner/agentcounsel/antitrust-risk-intake
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-risk-intake
Clone the repo
git clone --depth 1 https://github.com/zgbrenner/agentcounsel

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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agentmods badge for Antitrust Risk Intake

README.md
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Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,428 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 $0.00087 $0.02428
Opus 5 $0.00044 $0.01214
Sonnet 5 $0.00017 $0.00486
Haiku 4.5 $0.00009 $0.00243

Measured 11d ago against content hash 0d47fddb77ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

Antitrust Risk Intake 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 11d 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-risk-intake/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Antitrust Risk Intake

Purpose

Take unstructured facts about conduct with possible competition-law exposure — a worried email, a proposed arrangement, a hotline report, an agency letter — and organize them into a conduct inventory and triage matrix that buckets each item, records preliminary risk indicators from the shared catalog, flags any time-critical track, and routes each item to the matched antitrust deep-dive skill. This is the front door of the antitrust-competition cluster, and its output is a draft for attorney review: every bucket and routing call is a workflow signal, never a legal classification or an assessment of legality.

Use When

  • A business team forwards an email thread about a competitor contact, meeting, or "understanding" and asks legal whether it is a problem.
  • Several loosely described conduct items arrive at once — a JV idea, a pricing move, a distributor complaint — and counsel needs them inventoried, bucketed, and routed before any deep-dive work.
  • A hotline report, internal-audit finding, or news of an industry investigation raises possible exposure and the facts need structured intake.
  • An agency letter, dawn-raid rumor, or pending merger notification makes it urgent to identify which track is time-critical.
  • Counsel asks "which antitrust skill do I run on this?" and the answer needs a documented triage matrix with fact gaps listed per recommended deep-dive.

Required Inputs

  • Jurisdiction(s) of competitive effect — every country and, where relevant, state/province where the conduct has effects, or [verify jurisdiction]. The analysis follows the markets, not the parties' headquarters.
  • Business sector and footprint — industry, products/services, geographic reach, sales channels. Mark unknowns unknown/not found/not provided/ambiguous.
  • Conduct description — what is, was, or will be done. Each conduct item gets its own row, with: who, what, when, where, and (if multi-party) which counterparties.
  • Counterparty competitive posture — for each counterparty, the user's view of whether they are a direct competitor, potential competitor, customer, supplier, distributor, or unrelated. Multi-role flags allowed.
  • Candidate conduct buckets the user suspects in scope — horizontal collaboration, vertical restraint, information exchange, pricing-related conduct (RPM / MAP / MFN / loyalty), merger or acquisition, monopolization / abuse of dominance / unilateral conduct, trade association or standard-setting, gun-jumping or integration planning, distribution or channel conduct, algorithmic pricing, labor-market conduct (no-poach / wage-fixing), or other. The bucket is a starting point, never a conclusion.
  • Urgency posture — planned future conduct (pre-clearance triage), ongoing conduct (compliance triage), past conduct subject to investigation or litigation (defensive triage), or no investigation. User-supplied dates only, all marked [deadline verification required].
  • Documents and source anchors — what the user has supplied and the section/page/clause for each extracted fact.

Read the full file on GitHub · 114 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. 11d ago First seen · 114 lines · 87 tokens per session scan A 0d47fddb77ce

Subscribe to this mod's changes

Antitrust Risk Intake is a skill published in the GitHub repository zgbrenner/agentcounsel (19 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 2,428 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.

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