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 exclusivity-mfn-pricing-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/exclusivity-mfn-pricing-review)<a href="https://agentmods.dev/skills/zgbrenner/agentcounsel/exclusivity-mfn-pricing-review"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/exclusivity-mfn-pricing-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/exclusivity-mfn-pricing-review"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/exclusivity-mfn-pricing-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 | $0.02663 |
| Opus 5 | $0.00044 | $0.01332 |
| Sonnet 5 | $0.00018 | $0.00533 |
| Haiku 4.5 | $0.00009 | $0.00266 |
Grade A, and why
Exclusivity MFN Pricing 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exclusivity MFN Pricing Review
Purpose
Review exclusivity, requirements, MFN/parity, loyalty-discount, rebate, and bundling provisions and organize the facts an attorney needs for a foreclosure and abuse-of-dominance assessment: a restraint classification with verbatim mechanics, a foreclosure-relevant facts table built only from user-supplied market data, an MFN/parity matrix distinguishing narrow from wide clauses, and per-jurisdiction framework questions. The deliverable is draft legal work product for attorney review: the skill records and asks — it never concludes dominance, market power, foreclosure, or legality.
Use When
- A sales team proposes an exclusive-dealing or requirements arrangement with a major customer, or a customer demands one from the company.
- A platform or large buyer asks for an MFN or price-parity clause, and counsel needs the comparator scope (narrow vs. wide) and direction mapped.
- A proposed rebate program conditions discounts on share-of-requirements, uses retroactive cliffs or thresholds, or bundles discounts across products.
- A competitor complaint, customer pushback, or agency inquiry targets an existing exclusivity, MFN, or loyalty program.
- A contract renewal reprices a loyalty or rebate structure and its triggers, thresholds, opt-outs, and termination mechanics need re-inventorying.
- Counsel wants the foreclosure-relevant facts — covered share, contestable share, counterparties' alternatives, switching costs — organized before a framework or economic-expert assessment.
Required Inputs
- Jurisdiction(s) of competitive effect — every country and, where relevant, state/province where the conduct has effects, or
[verify jurisdiction]. Frameworks for exclusivity, MFN, and loyalty conduct vary substantially across regimes. - Restraint type(s) in scope — exclusivity (full / partial / de facto), MFN or parity (price MFN, non-price MFN, narrow vs. wide), loyalty discounts (single-product / share-conditional / bundled), rebates (retroactive / cliff / market-share), requirements contracts, non-compete or non-solicit, bundling, pricing-related restrictions.
- Counterparty context — buyer-side or supplier-side; counterparty size; counterparty's alternatives; counterparty's competitive position; multi-homing posture if applicable.
- User-supplied market position facts — share, footprint, sales channels, foreclosed-vs.-contestable share if user-supplied. Never invented.
- Restraint scope — scope of exclusivity (products / customers / geographies), duration, exceptions, opt-outs, termination triggers.
- Triggering conditions — rebate triggers, MFN comparator scope (own platform vs. competing platforms; same-or-better-than-anywhere), parity reference points.
- Foreclosure-relevant facts — share of market covered by the restraint, contestable share, counterparties' alternatives, switching costs.
- Business rationale and justifications — volume commitments, brand-investment recoupment, anti-free-riding, supply-chain reliability, transaction-cost efficiency.
- Documents and source anchors — the agreement(s), side letters, communications, internal business cases.
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 · 123 lines · 89 tokens per session scan A af1a46c40828
Exclusivity MFN Pricing 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 2,663 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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