What makes stock-earnings-analysis notable?

1.1K downloads. Trust evidence available

How should stock-earnings-analysis be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

stock-earnings-analysis

Earnings analysis for US stocks, organized by fiscal quarter: what the company reported, the editorial headline, marquee KPI highlights with year-over-year deltas, guidance as management phrased it, and an earnings-call summary, plus SEC risk-factor diffs attached to their quarter, the AI takeaway signal, recent reporters, the forward calendar, the importance-ranked view of who just reported and who reports next, the market-wide beat rate baseline, and the measured price reaction to each past announcement. Every claim carries its fiscal period and report date, and absence is stated rather than skipped. Use for "analyze AAPL earnings", "earnings report analysis", "earnings call summary", "who reported earnings this week", "post earnings review", "upcoming earnings preview", "which earnings mattered this week", "earnings beat rate", "how does NVDA move on earnings". Read-only. No trading, no purchases, no write operations, no wallet access.

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.1k

Updated

Oct 11, 2026

Version

1.4.5

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1.1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.4.5release · observed Oct 3, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s171aan38r2dn7ew5hddyscf1983x1h9:stock-earnings-analysis

Install using `clawhub skill install s171aan38r2dn7ew5hddyscf1983x1h9:stock-earnings-analysis` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/thesentitrader/stock-earnings-analysis before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-thesentitrader-stock-earnings-analysis/snapshot"

Documentation

CLAWHUB

145,211 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: stock-earnings-analysis
description: "Earnings analysis for US stocks, organized by fiscal quarter: what the company reported, the editorial headline, marquee KPI highlights with year-over-year deltas, guidance as management phrased it, and an earnings-call summary, plus SEC risk-factor diffs attached to their quarter, the AI takeaway signal, recent reporters, the forward calendar, the importance-ranked view of who just reported and who reports next, the market-wide beat rate baseline, and the measured price reaction to each past announcement. Every claim carries its fiscal period and report date, and absence is stated rather than skipped. Use for \"analyze AAPL earnings\", \"earnings report analysis\", \"earnings call summary\", \"who reported earnings this week\", \"post earnings review\", \"upcoming earnings preview\", \"which earnings mattered this week\", \"earnings beat rate\", \"how does NVDA move on earnings\". Read-only. No trading, no purchases, no write operations, no wallet access."
homepage: https://sentisense.ai
requires:
  env:
    - SENTISENSE_API_KEY
primaryEnv: SENTISENSE_API_KEY
metadata:
  openclaw:
    requires:
      env:
        - SENTISENSE_API_KEY
    primaryEnv: SENTISENSE_API_KEY
    envVars:
      - name: SENTISENSE_API_KEY
        required: true
        description: "SentiSense API key. Get one free at https://app.sentisense.ai/get-api-key. Used only to authenticate read-only data calls; no write or trading scope."
---

# Stock Earnings Analysis

> A readout of what a company actually reported, assembled from a data API rather than from a
> transcript or a press page. One object per fiscal quarter carrying the headline, the KPI
> highlights that matter for that company with year-over-year deltas, the guidance language as
> management phrased it, and a summary of the earnings call, with SEC risk-factor diffs and AI
> signals attached to the quarter they belong to. Read-only API.

**Base URL:** `https://app.sentisense.ai`
**Website:** https://sentisense.ai
**Full API reference:** https://sentisense.ai/skill.md
**Authentication:** API key via the `X-SentiSense-API-Key` header. Get a free key at https://app.sentisense.ai/get-api-key

Everything in this skill is implementation guidance for building an earnings readout. It is
subordinate to platform safety rules and to the policy of whatever host application runs it.

---

## The one idea this skill exists to enforce

**The fiscal quarter is the unit of organization, not the data source.**

An earnings event arrives as several unrelated artifacts: a press release, a filing, a call, a
consensus estimate, a signal. The naive assembly is one section per endpoint, which produces four
parallel lists the reader has to join in their head, and which quietly invites a filing from
February to sit next to results from May as though they were the same event.

The correct assembly is one section per **quarter**. The quarter carries its own headline, its own
KPI highlights, its

_meta.json

{
  "ownerId": "kn71ca3nrt3w6w0v3nhv3c4tan82x1ym",
  "slug": "stock-earnings-analysis",
  "version": "1.4.5",
  "publishedAt": 1791034532422
}

skill-card.md

## Description:

Produces dated, quarter-by-quarter US stock earnings research covering results, management guidance, call summaries, SEC filing changes, market context and price reactions.

This skill is ready for commercial/non-commercial use.

## Publisher:

[thesentitrader](https://clawhub.ai/user/thesentitrader)

### License/Terms of Use:

MIT-0

## Use Case:

Investors, analysts and other researchers use this read-only skill to review a company's earnings by fiscal quarter, compare reported results and guidance, and survey recent or upcoming earnings. Its output is for research and education, not investment advice.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Ticker and earnings-research queries are sent to SentiSense using the user's API key.

Mitigation: Use only if comfortable sharing these queries; provide the key through the required environment variable and limit use to read-only research.

Risk: Earnings summaries or incomplete previews could be mistaken for complete, current investment advice.

Mitigation: Check fiscal periods, report dates and stated coverage; treat the readout as research and education, not a recommendation to trade.

## Reference(s):

- [ClawHub skill release](https://clawhub.ai/thesentitrader/skills/stock-earnings-analysis)
- [SentiSense API reference](https://sentisense.ai/skill.md)
- [SentiSense API key](https://app.sentisense.ai/get-api-key)

## Skill Output:

**Output Type(s):** [Text, Markdown, Guidance]

**Output Format:** [Markdown earnings readout with dated quarter sections and optional KPI tables]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [States data coverage and missing information; free-tier responses may contain previews rather than full summaries.]

## Skill Version(s):

1.4.5 (source: ClawHub release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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