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 morning-notegit 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/morning-note)<a href="https://agentmods.dev/skills/anthropics/financial-services/morning-note"><img src="https://agentmods.dev/badge/skills/anthropics/financial-services/morning-note/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/morning-note"><img src="https://agentmods.dev/badge/skills/anthropics/financial-services/morning-note.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector 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 | $0.00074 | $0.00705 |
| Opus 5.5 | $0.00030 | $0.00282 |
| Sonnet 5.5 | $0.00015 | $0.00141 |
| Haiku 4.5 | $0.00007 | $0.00071 |
Grade A, and why
morning-note 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:
- morning-note — 100% identical, 0 lines differ
- morning-note — 94% identical, 7 lines differ
- morning-note — 94% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Morning Note
Workflow
Step 1: Overnight Developments
Scan for relevant events across coverage universe:
Earnings & Guidance
- Any coverage companies reporting overnight or pre-market?
- Earnings surprises (beat/miss on revenue, EPS, key metrics)
- Guidance changes (raised, lowered, maintained)
News & Events
- M&A announcements or rumors
- Management changes
- Product launches or regulatory decisions
- Analyst upgrades/downgrades from competitors
- Macro data or policy changes affecting the sector
Market Context
- Overnight futures / pre-market moves
- Sector ETF performance
- Relevant commodity or currency moves
- Key economic data releases today
Step 2: Morning Note Format
Keep it tight — a morning note should be readable in 2 minutes:
[Date] Morning Note — [Analyst Name] [Sector Coverage]
Top Call: [Headline — the one thing PMs need to hear]
- 2-3 sentences on the key development and why it matters
- Stock impact: price target, rating reiteration/change
Overnight/Pre-Market Developments
- [Company A]: One-line summary of earnings/news + our take
- [Company B]: One-line summary + our take
- [Sector/Macro]: Relevant sector-wide development
Key Events Today
- [Time]: [Company] earnings call
- [Time]: Economic data release (expectations vs. our view)
- [Time]: Conference or investor day
Trade Ideas (if any)
- [Long/Short] [Company]: 1-2 sentence thesis + catalyst
- Risk: What would make this wrong
Step 3: Quick Takes on Earnings
If a coverage company reported, provide a quick reaction:
| Metric | Consensus | Actual | Beat/Miss |
|---|---|---|---|
| Revenue | |||
| EPS | |||
| [Key metric] | |||
| Guidance |
Our Take: 2-3 sentences — is this good or bad for the stock? Does it change our thesis?
Action: Maintain / Upgrade / Downgrade rating? Adjust price target?
Step 4: Output
- Markdown text for email/Slack distribution
- Word document if formal distribution is needed
- Keep to 1 page max — PMs and traders won't read more
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 · 90 lines · 74 tokens per session scan A 38f0b36cd414
morning-note is a skill published in the GitHub repository anthropics/financial-services (40,858 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 74 tokens to every session and 705 once invoked, about $0.0003 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 2026-08-30.
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