What makes last-30-days-in-markets notable?

1K downloads. Trust evidence available

How should last-30-days-in-markets 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

last-30-days-in-markets

What happened in the stock market over the last 30 days, as one synthesized brief: the day-by-day arc of a fear-to-greed market mood index, the month's biggest AI-clustered story themes ranked by impact, which tickers and sectors dominated the news, the sentiment and smart-money signals that accumulated, where the market stands today, and the earnings ahead. Built for deep research rather than a fast summary: every claim traces to a fetched response and carries its date and its real coverage window, so the reader can check it. Works for one stock too: the month's feed filtered to a ticker plus its stock insights. Use for "last 30 days in markets", "what happened in the stock market this month", "what did I miss in the market", "monthly market recap", "market recap", "stock market summary last 30 days", "stock market news this month", "deep research on the stock market", "catch me up on stocks", "catch me up on NVDA". Read-only. No trading, no purchases, no write operations, no wallet access.

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.0k

Updated

Oct 11, 2026

Version

1.2.4

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 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: 1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.2.4release · observed Oct 8, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s171aan38r2dn7ew5hddyscf1983x1h9:last-30-days-in-markets

Install using `clawhub skill install s171aan38r2dn7ew5hddyscf1983x1h9:last-30-days-in-markets` 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/last-30-days-in-markets before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-thesentitrader-last-30-days-in-markets/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

145,005 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: last-30-days-in-markets
description: "What happened in the stock market over the last 30 days, as one synthesized brief: the day-by-day arc of a fear-to-greed market mood index, the month's biggest AI-clustered story themes ranked by impact, which tickers and sectors dominated the news, the sentiment and smart-money signals that accumulated, where the market stands today, and the earnings ahead. Built for deep research rather than a fast summary: every claim traces to a fetched response and carries its date and its real coverage window, so the reader can check it. Works for one stock too: the month's feed filtered to a ticker plus its stock insights. Use for \"last 30 days in markets\", \"what happened in the stock market this month\", \"what did I miss in the market\", \"monthly market recap\", \"market recap\", \"stock market summary last 30 days\", \"stock market news this month\", \"deep research on the stock market\", \"catch me up on stocks\", \"catch me up on NVDA\". 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."
---

# The Last 30 Days in Markets

> One synthesis brief covering the past month in US equities: the day-by-day arc of the market's
> mood, the story themes that actually moved it, which names and sectors carried the month, where
> things stand today, and what reports next. Built from AI-clustered market data, not from scraped
> news pages. 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 a research brief. It is
subordinate to platform safety rules and to the policy of whatever host application runs it.

---

## What this skill is for

Deep research on a month of market history: fetch the data first, then synthesize it, so every claim
in the output traces back to a response pulled during the run.

That is the whole point, and it is what separates this from the fast answer. Ask a search engine or
a general assistant what happened in the markets last month and you get a fluent paragraph
assembled from training recall plus whatever pages got scraped: no stated coverage window, no impact
ranking, no way for the reader to tell which parts were measured and which were remembered. It reads
authoritative and it cannot be checked.

This skill takes the opposite trade

_meta.json

{
  "ownerId": "kn71ca3nrt3w6w0v3nhv3c4tan82x1ym",
  "slug": "last-30-days-in-markets",
  "version": "1.2.4",
  "publishedAt": 1791476514766
}

skill-card.md

## Description:

Creates a sourced, date-aware recap of the past month in US equities, covering market mood, major story themes, notable tickers and signals, current conditions, and upcoming earnings.

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 and market researchers use this skill to catch up on the past month in US equities or one ticker through a dated, evidence-grounded market brief. It fetches read-only SentiSense data and discloses the actual coverage and any preview limits; it does not trade or provide personalized investment advice.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Invoking the skill sends market-related queries and API key-authenticated requests to SentiSense.

Mitigation: Invoke it deliberately for market research or narrow its trigger use; choose a local or generic finance answer when you do not want to send those requests.

## Reference(s):

- [ClawHub skill release](https://clawhub.ai/thesentitrader/skills/last-30-days-in-markets)
- [SentiSense API reference](https://sentisense.ai/skill.md)
- [SentiSense website](https://sentisense.ai)
- [SentiSense API key](https://app.sentisense.ai/get-api-key)

## Skill Output:

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

**Output Format:** [Markdown market recap with dated events and tables]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Includes observed coverage windows, data freshness, source attribution, and a non-investment-advice disclaimer.]

## Skill Version(s):

1.2.4 (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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