What makes us-stocks-analysis notable?

3.2K downloads. Trust evidence available

How should us-stocks-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

us-stocks-analysis

US stocks analysis by an adversarial investment committee. Legendary-investor personas independently research a thesis, attack each other's cases against a shared evidence ledger (sentiment, smart money, SEC fundamentals), and reconcile into a plain-English verdict: the bottom line first, then who disagrees and why. Structured rubrics keep every number sourced, on any model. Includes five quick data workflows. Use for stock research, investment thesis, bull case vs bear case, due diligence on a ticker, should I buy this stock, deep dive on a company. Read-only. No trading, no purchases, no write operations, no wallet access. Skill: us-stocks-analysis Owner: thesentitrader Summary: US stocks analysis by an adversarial investment committee. Legendary-investor personas independently research a thesis, attack each other's cases against a shared evidence ledger (sentiment, smart money, SEC fundamentals), and reconcile into a plain-English verdict: the bottom line first, then who disagrees and why. Structured rubrics keep every number sourced,

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

3.2k

Updated

Oct 9, 2026

Version

2.10.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 3.2K downloads reported by the source. Last updated 10/9/2026.

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 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 3.2K downloadsadoption · observed Oct 9, 2026
Latest release: 2.10.0release · observed Oct 1, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s171aan38r2dn7ew5hddyscf1983x1h9:us-stocks-analysis

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

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

Documentation

CLAWHUB

149,450 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: us-stocks-analysis
description: "US stocks analysis by an adversarial investment committee. Legendary-investor personas independently research a thesis, attack each other's cases against a shared evidence ledger (sentiment, smart money, SEC fundamentals), and reconcile into a plain-English verdict: the bottom line first, then who disagrees and why. Structured rubrics keep every number sourced, on any model. Includes five quick data workflows. Use for stock research, investment thesis, bull case vs bear case, due diligence on a ticker, should I buy this stock, deep dive on a company. 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
---

# US Stocks Analysis: The Investment Committee - SentiSense

> Adversarial investment-committee analysis for US equities. For quick data asks, five expert workflows synthesize price, sentiment, smart money, analyst ratings, and AI insights into terminal-grade briefs. For thesis-grade questions ("should I own NVDA for 3 years?"), the skill convenes a committee of legendary-investor personas that independently research, then attack each other's cases against a shared evidence ledger, then reconcile into a plain-English verdict that opens with the bottom line and says who disagrees and why. The structure is designed so that even a small local model, following the templates literally, produces grounded, multi-perspective analysis instead of consensus mush. Read-only API. No trading, no purchases, no write operations, no wallet access.

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

---

## What This Skill Is

Two layers, one routing decision per user ask:

1. **Quick Reads.** Five proven data workflows (brief, smart money, divergence, pre-earnings, sector rotation) for questions that want a dense factual answer in five lines.
2. **The Investment Committee.** A structured adversarial debate between investor personas for questions that want judgment: is this thesis sound, what would break it, where do serious people disagree.

The committee is not roleplay flavor. It is an error-correction machine. A single free-form pass produces a plausible, agreeable, number-fuzzy blob. Forcing the same model to (a) build independent persona cases, (b) attack them against evidence, and (c) reconcile the survivors is how you extract rigorous judgment from any model, including small local ones. **The adversarial structure IS the intelligence.**

The governing line for everything below: *the intelligence lives in the skill's structure, not the model. A weak model that fills these templat

_meta.json

{
  "ownerId": "kn71ca3nrt3w6w0v3nhv3c4tan82x1ym",
  "slug": "us-stocks-analysis",
  "version": "2.10.0",
  "publishedAt": 1790880310498
}

skill-card.md

## Description:

Provides read-only US equity research through quick data briefs and an adversarial investment committee that weighs sourced evidence and disagreements.

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 researchers use this skill to examine US stocks, compare bull and bear cases, and review price, sentiment, institutional activity, and fundamentals. Its findings support research rather than personalized investment advice.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Using the skill requires a SentiSense API key and read-only requests to app.sentisense.ai.

Mitigation: Provide a key only if you are comfortable with that access; protect the credential and allow requests only to the disclosed service.

Risk: Free-tier previews may show only part of a dataset, and market data may be stale.

Mitigation: Label partial results, check as-of timestamps, and avoid presenting missing preview entries as absent from the full dataset.

Risk: Stock analysis could be mistaken for personalized investment advice or trading instructions.

Mitigation: Treat results as research support, verify important claims, and make investment decisions independently.

## Reference(s):

- [SentiSense API reference](https://sentisense.ai/skill.md)
- [ClawHub skill release](https://clawhub.ai/thesentitrader/skills/us-stocks-analysis)

## Skill Output:

**Output Type(s):** [Analysis, Guidance]

**Output Format:** [Markdown research briefs or evidence-backed committee verdicts]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Includes source dates, cited evidence, and explicit uncertainty; does not execute trades.]

## Skill Version(s):

2.10.0 (source: server-resolved 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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