Claude for Financial Services is a collection of agents, skills, commands, plugins, and data connectors for investment banking, equity research, private equity, and wealth-management workflows. Financial professionals use it to draft models, memos, research notes, and reconciliations for review by qualified people. The catalogue contains components from these workflows, including agents, skills, plugins, commands, and instructions.
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 anthropics/financial-services --skill buyer-listgit clone --depth 1 https://github.com/anthropics/financial-servicesWrote 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/anthropics/financial-services/buyer-list)<a href="https://agentmods.dev/skills/anthropics/financial-services/buyer-list"><img src="https://agentmods.dev/badge/skills/anthropics/financial-services/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/anthropics/financial-services/buyer-list"><img src="https://agentmods.dev/badge/skills/anthropics/financial-services/buyer-list.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00087 | $0.00850 |
| Opus 5 | $0.00044 | $0.00425 |
| Sonnet 5 | $0.00017 | $0.00170 |
| Haiku 4.5 | $0.00009 | $0.00085 |
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 today.
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.
Copies of this mod
3 near-identical copies found in the catalogue:
- buyer-list — 100% identical, 0 lines differ
- buyer-list — 97% identical, 7 lines differ
- buyer-list — 97% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Buyer List
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
Growth Equity
- For earlier-stage or high-growth targets
- Minority vs. majority preference
For each sponsor:
| Sponsor | Fund Size | Sector Focus | Portfolio Overlap | Recent Activity | Priority |
|---|---|---|---|---|---|
| A/B/C |
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.
- today First seen · 99 lines · 87 tokens per session scan A df6875147c70
buyer-list is a skill published in the GitHub repository anthropics/financial-services (34,793 stars, last pushed today), licensed Apache-2.0. It adds 87 tokens to every session and 850 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 2026-09-12.
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