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 dd-checklistgit 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/dd-checklist)<a href="https://agentmods.dev/skills/anthropics/financial-services/dd-checklist"><img src="https://agentmods.dev/badge/skills/anthropics/financial-services/dd-checklist/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/dd-checklist"><img src="https://agentmods.dev/badge/skills/anthropics/financial-services/dd-checklist.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 | $0.00091 | $0.00923 |
| Opus 5.5 | $0.00036 | $0.00369 |
| Sonnet 5.5 | $0.00018 | $0.00185 |
| Haiku 4.5 | $0.00009 | $0.00092 |
Grade A, and why
dd-checklist 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 1mo 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- dd-checklist — 100% identical, 0 lines differ
- dd-checklist — 92% identical, 7 lines differ
- dd-checklist — 92% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Due Diligence Checklist
Workflow
Step 1: Scope the Diligence
Ask the user for:
- Target company: Name, sector, business model
- Deal type: Platform acquisition, add-on, growth equity, recap, carve-out
- Deal size / complexity: Determines depth of diligence
- Key concerns: Any known issues to prioritize (customer concentration, regulatory, environmental, etc.)
- Timeline: When is LOI / close targeted?
Step 2: Generate Workstream Checklists
Generate a checklist across all major workstreams, tailored to the sector:
Financial Due Diligence
- Quality of earnings (QoE) — revenue and EBITDA adjustments
- Working capital analysis — normalized vs. actual
- Debt and debt-like items
- Capital expenditure (maintenance vs. growth)
- Tax structure and exposure
- Audit history and accounting policies
- Pro forma adjustments (run-rate, synergies)
Commercial Due Diligence
- Market size and growth (TAM/SAM/SOM)
- Competitive positioning and market share
- Customer analysis — concentration, retention, NPS
- Pricing power and contract structure
- Sales pipeline and backlog
- Go-to-market effectiveness
Legal Due Diligence
- Corporate structure and org chart
- Material contracts (customer, supplier, partnership)
- Litigation history and pending claims
- IP portfolio and protection
- Regulatory compliance
- Employment agreements and non-competes
Operational Due Diligence
- Management team assessment
- Organizational structure and key person risk
- IT systems and infrastructure
- Supply chain and vendor dependencies
- Facilities and real estate
- Insurance coverage
HR / People Due Diligence
- Org chart and headcount trends
- Compensation benchmarking
- Benefits and pension obligations
- Key employee retention risk
- Culture assessment
- Union/labor agreements
IT / Technology Due Diligence (for tech-enabled businesses)
- Technology stack and architecture
- Technical debt assessment
- Cybersecurity posture
- Data privacy compliance (GDPR, CCPA, SOC2)
- Product roadmap and R&D spend
- Scalability assessment
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.
- 1mo ago First seen · 118 lines · 91 tokens per session scan A f2a8210587b7
dd-checklist is a skill published in the GitHub repository anthropics/financial-services (40,858 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 91 tokens to every session and 923 once invoked, about $0.0004 per session on Opus 5.5. 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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