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 sorrek/mcp --skill account-expansiongit clone --depth 1 https://github.com/sorrek/mcpWrote 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/sorrek/mcp/account-expansion)<a href="https://agentmods.dev/skills/sorrek/mcp/account-expansion"><img src="https://agentmods.dev/badge/skills/sorrek/mcp/account-expansion/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/sorrek/mcp/account-expansion"><img src="https://agentmods.dev/badge/skills/sorrek/mcp/account-expansion.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 | $0.00081 | $0.00915 |
| Opus 5 | $0.00041 | $0.00458 |
| Sonnet 5 | $0.00016 | $0.00183 |
| Haiku 4.5 | $0.00008 | $0.00092 |
Grade A, and why
account-expansion 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 6d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Account Expansion
Turn one closed-won account into a ranked list of warm targets by walking its ownership graph.
The logic
A company you already sell to is connected to other companies two ways:
- Corporate family — subsidiaries and sister companies under the same parent. The parent often has shared procurement, a shared MSA, and internal referral paths.
- PE portfolio — companies held by the same private equity firm. PE firms actively push vendor standardization across their portfolio, and a reference from one portfolio company carries real weight with the others.
Both are warmer than cold outbound because there's a structural reason for the introduction to happen.
Steps
-
Establish the anchor. Confirm which account is the anchor and get its domain. If the user gave you a company name, ask for the domain or website rather than guessing.
-
Check the balance. Call
check_creditsfirst. It's free, and it prevents starting a pipeline you can't finish. -
Resolve ownership.
submit_batch([anchor_domain]), thenprocess_batch(batch_id, ["pe_ownership", "parent_companies"]). Pollget_run_statusuntil both runs arecompleted. This costs at most 140 credits at download (70 per run where something was found; a run that finds no parent or no PE owner is free) — read the exactpriceoff each completed run, state it, and confirm before downloading. -
Branch on what you find:
- PE-backed → take the firm,
submit_batch([firm_domain])→process_batch(batch_id, ["pe_portfolios"]). This is priced per record, so read thepriceoff the completed run and surface it before downloading. - Has a corporate parent → take the parent, then
process_batch(batch_id, ["corporate_families"]). Also per record. - Neither → say so plainly. A standalone independent company has no ownership graph to walk, and this play doesn't apply. Don't pad the answer.
- PE-backed → take the firm,
-
Rank the results. Don't hand back raw rows. Order them by:
- Similarity to the anchor — same industry and rough size band first
deal_type— recent buyouts and add-ons signal active integration and budget movement; legacy holdings are colder- Whether they're already in the user's CRM — if the user gave you an account list, split the output into already covered and net new
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.
- 6d ago Changed · +2 lines 0836e5f427c7
- 10d ago First seen · 80 lines · 81 tokens per session scan A 7d32224e4dc2
account-expansion is a skill published in the GitHub repository sorrek/mcp (1 stars, last pushed 10d ago), licensed MIT. It adds 81 tokens to every session and 915 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 2026-08-31.
Other skills, from other repositories
Launch Risk Assessment
Identify, categorize, and prioritize product launch risks, producing a risk matrix (probability × impact) with mitigation strategies. Use for launch risk, risk register, and go-to-market risk review.
gingiris-go-global
🇺🇸 AI Product / SaaS Go-Global Complete SOP — From competitor research to launch to monetization. A full-cycle playbook covering Phase 0-5 (market validation, positioning, first 100 users, user interviews, beta-to-growth) plus open-source launch, Product Hunt, Reddit, SEO/GEO, conversion, and org principles.…
gr-competitor-research
Your competitor just launched. You have no idea how they grew so fast. Should you reverse-engineer their website? Track their social media? Map their growth flywheel? This gives you the complete SOP — from Wayback Machine snapshots to X/Twitter propagation analysis to growth flywheel scoring. Built from 150+ AI…
product-hunt-playbook
It's 11pm before your launch. Your PH page is ready but you have no idea what actually moves the ranking algorithm. Upvotes? Comments? Time-of-day? This is the hour-by-hour operations manual from someone who's coached 30+ #1 finishes. What's inside: • Ranking algorithm deep-dive (it's not just upvotes — weighted…
ai-launch-playbook
Launch your AI product to global attention — the playbook behind Manus, Devin, and AFFiNE's breakout launches. Covers AI-specific GTM strategy, hype cycle management, waitlist tactics, and multi-market rollout for maximum day-one impact.
ai-product-launch
First AI Product Launch — Zero to Live in 30 Days. Step-by-step guide for shipping your first AI product from idea validation to paying customers. Includes day-by-day timeline and real examples. By @WeiYipei.