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 yuping322/financial-services-plugins-new --skill buyer-listgit clone --depth 1 https://github.com/yuping322/financial-services-plugins-newWrote 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/yuping322/financial-services-plugins-new/buyer-list)<a href="https://agentmods.dev/skills/yuping322/financial-services-plugins-new/buyer-list"><img src="https://agentmods.dev/badge/skills/yuping322/financial-services-plugins-new/buyer-list/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/yuping322/financial-services-plugins-new/buyer-list"><img src="https://agentmods.dev/badge/skills/yuping322/financial-services-plugins-new/buyer-list.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 | $0.00000 | $0.00843 |
| Opus 5 | $0.00000 | $0.00421 |
| Sonnet 5 | $0.00000 | $0.00169 |
| Haiku 4.5 | $0.00000 | $0.00084 |
Grade A, and why
buyer-list 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.
This is a copy
100% identical to buyer-list — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Buyer List
description: Build and organize a universe of potential acquirers for sell-side M&A processes. Identifies strategic and financial buyers, assesses fit, and prioritizes outreach. Use when preparing for a sell-side mandate, building a buyer universe, or evaluating potential partners. Triggers on "buyer list", "buyer universe", "potential acquirers", "who would buy this", "strategic buyers", or "financial sponsors".
Workflow
Step 1: Understand the Target
- Company description, sector, and business model
- Revenue, EBITDA, and growth profile
- Key assets and capabilities (IP, customer relationships, geographic footprint, team)
- Expected valuation range
- Seller preferences (strategic vs. financial, management continuity, timeline)
Step 2: Strategic Buyers
Identify strategic acquirers across categories:
Direct Competitors
- Companies in the same space that would gain market share
- Rationale: Revenue synergies, eliminate competitor, scale
Adjacent Players
- Companies in adjacent markets that could expand into the target's space
- Rationale: Product extension, cross-sell, new market entry
Vertical Integrators
- Customers or suppliers that could integrate vertically
- Rationale: Supply chain control, margin capture, strategic lock-in
Platform Builders
- Large companies building a platform in the space through M&A
- Rationale: Tuck-in acquisition, fill capability gap
For each strategic buyer, assess:
| Buyer | Sector | Revenue | Strategic Fit | Financial Capacity | M&A Track Record | Likelihood | Priority |
|---|---|---|---|---|---|---|---|
| High/Med/Low | Active/Moderate/None | A/B/C |
Step 3: Financial Sponsors
Identify PE/financial buyers:
Platform Investors
- Sponsors looking for a new platform in this sector
- Criteria: Fund size, sector focus, deal size range
Add-on Buyers
- Sponsors with existing portfolio companies that could acquire the target as a bolt-on
- Identify the specific portfolio company and synergy rationale
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.
- 11d ago First seen · 96 lines · 0 tokens per session scan A 3eb4e11b12ca
buyer-list is a skill published in the GitHub repository yuping322/financial-services-plugins-new (17 stars, last pushed 6mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 843 tokens. A static security scan graded it A with 0 findings. It is 100% identical to buyer-list, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
trading-risk-gate
Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.