Finance & Investment Banking ✓ Anthropic · Official

Single-Company Earnings Preview

Generate a professional 4–5-page HTML earnings preview for one public company from tightly controlled financial data sources.

39/ 100
Not recommended

Current benefit does not outweigh risk or uncertainty.

See how it was scored ↓
Works as-is in
Claude Code · Claude.ai(Partial support)
Stars
★ 40k
Last updated
1mo ago
License
Apache-2.0
equity-researchearnings-previewfinancial-analysisvaluation
+3competitor-analysisfinancial-newshtml-report

What does this skill do, and when should you use it?

This skill produces a self-contained 4–5-page HTML earnings preview for a single company. It combines the latest earnings transcript, competitor analysis, valuation, consensus estimates, recent news, and sector context. Research is restricted to Kensho Grounding MCP and S&P Global MCP, with generic web access explicitly prohibited. The output includes verbatim management quotes, financial charts, peer comparisons, linked claims, and a detailed calculation appendix.

Accepts one company ticker; calls S&P Global MCP for company information, earnings calls, quarterly financials, segments, prices, competitors, market capitalization, and consensus estimates; calls Kensho Grounding MCP for earnings estimates, analyst ratings, risks, recent news, and sector intelligence; writes raw responses to intermediate files; rereads and verifies those files before calculating margins, year-over-year changes, LTM/NTM P/E, and stock returns; then generates a self-contained HTML report with charts, linked claims, source URLs, and an appendix documenting calculations.

Good fit
  • An equity researcher preparing a single-company preview before an upcoming earnings release.
  • A portfolio manager comparing a target company with five to seven relevant public peers on valuation and stock performance.
  • A research team consolidating the latest earnings call, management quotations, market expectations, and material recent news into a printable note.
  • A financial professional who needs every report claim and calculation linked to an underlying source or derivation.

How do you install this skill?

Before you use it
  • Confirm that the Kensho Grounding MCP, S&P Global MCP, and required authorizations are available before use, and assess overseas-service reachability from mainland China.
  • The skill writes multiple intermediate files under /tmp/earnings-preview/ without specifying permissions, retention, cleanup, or rollback.
  • The report template loads Chart.js from a CDN, creating tension with the self-contained and zero-external-access requirements; resolve this before deployment.
  • The skill name, final output filename, versioning, and maintenance ownership are unclear, and the template contains unfinished placeholders; all outputs require human review.
Before you start
Your agent needs
  • Shell / CLI
  • Network access
  • Local filesystem
  • MCP Server
Install first
  • Kensho Grounding MCP (search)
  • S&P Global MCP (kfinance)
  • Browser for HTML preview

The README supports installation through Cowork by opening Settings → Plugins → Add plugin and pasting https://github.com/anthropics/financial-services, then selecting the relevant components; alternatively, upload a zip containing a plugin directory. For Claude Code, the README documents claude plugin marketplace add anthropics/financial-services followed by installation of the relevant plugin. A standalone installation command for this individual skill is not documented.

Generic route: install into Claude Code manually (macOS / Linux)
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/anthropics/financial-services.git "$tmp"
mkdir -p ~/.claude/skills
cp -R "$tmp/plugins/partner-built/spglobal/skills/earnings-preview-beta" ~/.claude/skills/
rm -rf "$tmp"

Generated from the source repository and skill path; it copies only this skill's folder. If the author's install steps above differ, follow those first. To scope it to one project, replace ~/.claude/skills with that project's .claude/skills.

How do you use this skill?

Provide a single company ticker as the skill argument or trigger input. The workflow must use Kensho Grounding MCP search and S&P Global MCP kfinance, then writes earnings-preview-[TICKER]-YYYY-MM-DD.html. The exact trigger syntax is not fully documented in the supplied source.

What are this skill's strengths and limitations?

Pros
  • Covers transcript analysis, competitor landscape, valuation, estimates, news, and sector context in one workflow.
  • Requires source traceability for every report claim and preserves detailed calculation logic in an appendix.
  • Includes LTM and NTM P/E, common-date stock returns, year-over-year checks, and verbatim-quote rules.
  • Produces a self-contained HTML report designed for roughly four to five printed pages.
Limitations
  • Hard dependency on Kensho Grounding MCP and S&P Global MCP; unavailable results cannot be replaced with generic web search.
  • Requires shell, filesystem, network, and MCP access.
  • The source provides no test suite, sample output, or platform-specific validation evidence.
  • Scope is limited to a single-company earnings preview; sibling repository skills should not be treated as part of this capability.

How does this skill compare with similar options?

Side by side with related skills; every score comes from the same FSRS standard.

Skill FS score Stars Last updated License
Single-Company Earnings Preview this page ✓ Anthropic · Official 39 · Not recommended ★ 40k 1mo ago Apache-2.0
Buffett Investment Thinking System 53 · Use with care ★ 823 6mo ago —
Morning Meeting Brief ✓ Anthropic · Official 52 · Use with care ★ 40k 1mo ago Apache-2.0
Financial Model Refresh ✓ Anthropic · Official 47 · Use with care ★ 40k 1mo ago Apache-2.0
Tech Earnings Deep Dive Analyzer 47 · Use with care ★ 1.1k 6mo ago MIT

How did FollowSkills review this skill?

FollowSkills review · FSRS-2.0
Not recommended
39/ 100 5-point scale 2.0 / 5
The upstream repository has new commits since this review. The score still applies to the reviewed revision shown and may not cover the latest changes.
1Trust12 / 25 · 2.4/5

The skill restricts research to Kensho Grounding MCP and S&P Global MCP and requires source capture, raw-data persistence, and calculation traceability; no malware, covert exfiltration, or destructive default is evident. Points are deducted because there is no user-confirmation flow, sensitive-data handling, dependency-security guidance, rollback plan, or explicit permission boundary, and it mandates writing to /tmp.

2Reliability6 / 20 · 1.5/5

The phased workflow, immediate raw-data persistence, read-back requirement, and calculation checks are fairly explicit, with a data-not-available path for some missing results. Static evidence does not establish MCP availability, tests, robust tool-failure handling, or a complete output path; the CDN dependency also conflicts somewhat with the self-contained HTML claim. Under static calibration, reliability cannot exceed 10.

3Adaptability6 / 15 · 2.0/5

The audience and core scenario are clear: a 4-5 page single-company equity-research earnings preview. However, $ARGUMENTS, non-fit boundaries, semantic trigger conditions, mainland-China reachability, and Chinese-language support are not sufficiently specified. Dependence on overseas Kensho/S&P MCP services may reduce usability for mainland-China users.

4Convention6 / 15 · 2.0/5

The document has phased organization, data schemas, calculation rules, a report template, and Apache-2.0 license metadata. Points are deducted for the mismatch between the skill name earnings-preview-single and the beta assessed path, missing version/changelog, unclear maintenance owner, incomplete installation/dependency notes, weak troubleshooting guidance, and unfinished template placeholders.

5Effectiveness5 / 15 · 1.7/5

If the specified MCP tools, filesystem, and template work as assumed, the workflow covers company profile, financials, peers, news, valuation, and HTML generation, so the core task is plausible. Static review cannot verify correctness; substantial human review remains necessary, the final HTML filename is unspecified, and news or consensus availability is uncertain. Under static calibration, effectiveness cannot exceed 7.

6Verifiability4 / 10 · 2.0/5

Requiring MCP call references, source URLs, intermediate files, formulas, and cross-checks improves auditability; repository CI and license metadata provide limited supporting context. Points are deducted because there are no skill-specific tests or third-party execution records, Kensho provenance depends on runtime responses, and static review cannot reproduce the key paths. Under static calibration, verifiability cannot exceed 5.

1 2 3 4 5 6

Open a dimension to read why it scored that way

Reviewed Jul 20, 2026 Reviewed revision 4aa51ed3d379 Review evidence[1][2][3][4][5][6][7]

Evidence confidence:Low — Mostly static review, author material or a limited demo; useful for discovery, not high-risk decisions.

See the full review method →

FAQ

Can generic web search be used as a fallback?
No. The skill explicitly permits only Kensho Grounding MCP `search` and S&P Global MCP `kfinance`.
Does this produce investment advice?
The repository describes its outputs as analyst work product for professional review and states that the collection is not investment, legal, tax, or accounting advice.
What access is required?
Kensho Grounding MCP and S&P Global MCP access are required; the README notes that provider subscriptions or API keys may be necessary.
What happens when a search returns no data?
The workflow requires rephrasing the Kensho query or marking the data unavailable; it must not fall back to generic web search.

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