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.
npx skills add zgbrenner/agentcounsel --skill antitrust-compliance-policy-reviewgit clone --depth 1 https://github.com/zgbrenner/agentcounselWrote 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.
[](https://agentmods.dev/skills/zgbrenner/agentcounsel/antitrust-compliance-policy-review)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
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.
- 12d ago First seen · 125 lines · 89 tokens per session scan A d25723832cf8
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.
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