Skills longbridge-research

📦

longbridge-research

Name: longbridge-research
Author: longbridge

v1.0.0 Content revision r3 Medium Risk ⚙️ External commands🌐 Network access

Research Markets with Longbridge Data

Investment research often requires many disconnected data checks. This skill combines Longbridge data with structured workflows for faster, consistent market analysis.

Supports: Claude Codex Code(CC)

📊 69 Adequate

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "longbridge-research" from https://skillstore.io/skills/longbridge-longbridge-research.md and its manifest at https://skillstore.io/api/skills/longbridge-longbridge-research/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/longbridge-longbridge-research.md Signed manifest GET /api/skills/longbridge-longbridge-research/manifest Signed lockfile GET /api/skills/longbridge-longbridge-research/lockfile

Test it

Using "longbridge-research". Summarize analyst expectations for NVDA.US.

Expected outcome:

Analyst view: summarizes the current rating distribution and target range. Forecast section compares expected earnings and revenue across available periods.

Using "longbridge-research". Compare a company with three industry peers.

Expected outcome:

Peer review: presents comparable growth, margins, valuation, and returns. The conclusion identifies competitive strengths, vulnerabilities, catalysts, and evidence gaps.

Using "longbridge-research". What market events matter next week?

Expected outcome:

Calendar: orders major earnings and macroeconomic events by date. Each entry states the affected market, possible impact, source timing, and uncertainty.

Security Audit

Medium Risk

v6 • 8/8/2026 Open versioned report

All 46 static alerts are false positives caused by Markdown formatting, CLI documentation, or ordinary prose. No shell backtick execution, reconnaissance, prompt injection, or exfiltration intent was found. However, the finance-calendar workflow accesses private portfolio data despite metadata stating that login is unnecessary.

Files scanned

2,020

Lines analyzed

Review items

False positives ignored

Confirmed security concerns (1)

Medium

SKILL.md:10-13 references/finance-calendar.md:16-20 references/finance-calendar.md:54-60

Undeclared Access to Private Portfolio Data

SKILL.md declares that login is unnecessary, while finance-calendar requires authorization and retrieves holdings and watchlists. This can expose private investment data unexpectedly.

The metadata and workflow directly contradict each other, and the workflow explicitly requests authorized holdings and watchlist data.

Risk Factors

⚙️ External commands (37)

references/forecast-eps.md:22-29 references/fund-holder.md:27-34 references/industry-peers.md:4-8 references/industry-peers.md:8-16 references/industry-peers.md:16 references/industry-peers.md:29-36 references/industry-rank.md:6 references/industry-rank.md:45-52 references/insider-trades.md:31-38 references/institution-rating.md:45-52 references/shareholder.md:6-55 references/shareholder.md:55-62 references/short-positions.md:8 references/short-positions.md:10-33 references/short-positions.md:33-40 references/short-trades.md:8 references/short-trades.md:10-33 references/short-trades.md:33-40 SKILL.md:26 SKILL.md:81 SKILL.md:83 SKILL.md:84 SKILL.md:85 SKILL.md:86 SKILL.md:87 SKILL.md:88 SKILL.md:89 SKILL.md:90 SKILL.md:91 SKILL.md:92 SKILL.md:93 SKILL.md:94 SKILL.md:139 SKILL.md:151 SKILL.md:152 SKILL.md:153 SKILL.md:157-169

🌐 Network access (1)

references/insider-trades.md:20

Audited by: codex View Audit History →

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Academic citations (APA · BibTeX · CFF)

APA citation

longbridge. (2026). longbridge-research security audit report (audit version 6) [Author version 1.0.0]. Skillstore. https://skillstore.io/skills/longbridge-longbridge-research/audits/6

BibTeX citation

@techreport{longbridge-longbridge-longbridge-research-2026,
  author = {longbridge},
  title = {longbridge-research security audit report (audit version 6)},
  institution = {Skillstore},
  year = {2026},
  number = {6},
  url = {https://skillstore.io/skills/longbridge-longbridge-research/audits/6},
  note = {Author version 1.0.0}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "longbridge-research security audit report (audit version 6)"
version: "1.0.0"
type: report
authors:
  - name: "longbridge"
date-released: "2026-08-08"
url: "https://skillstore.io/skills/longbridge-longbridge-research/audits/6"
identifiers:
  - type: other
    value: "skillstore:longbridge-longbridge-research:audit:6"
    description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: High

Architecture

100

Maintainability

Content

Community

Spec Compliance

What You Can Build

Evaluate a Stock

Combine analyst expectations, valuation, ownership, short interest, and recent events into a balanced research brief.

Prepare an Investment Memo

Organize a thesis, financial evidence, peer comparisons, catalysts, risks, and monitoring criteria for review.

Track Market Events

Create a prioritized calendar across selected markets and explain potential effects without direct trading instructions.

Try These Prompts

Check Analyst Expectations

Summarize analyst ratings, the consensus price target, and forward earnings estimates for {symbol}. Separate sourced facts from interpretation.

Build a Finance Calendar

Build a finance calendar for {date_range}. Prioritize {markets} and {symbols}, explain likely impacts, and include source dates.

Compare Industry Peers

Compare {company} with {peer_1}, {peer_2}, and {peer_3}. Benchmark growth, margins, valuation, analyst sentiment, moat, catalysts, and risks.

Prepare an Investment Proposal

Prepare an investment proposal for {symbol} over {horizon}. Include thesis, bear case, valuation, ownership changes, short interest, catalysts, and monitoring triggers.

Best Practices

Provide full market-qualified symbols, such as NVDA.US or 700.HK, and specify the research period.
Request source dates and distinguish reported facts, consensus estimates, and analytical conclusions.
Use several evidence types and include both bullish and bearish interpretations.

Avoid

Do not treat consensus estimates, price targets, or historical relationships as guaranteed outcomes.
Do not request direct buy or sell instructions without defining risk, horizon, and decision criteria.
Do not access holdings or watchlists without confirming authorization and intended portfolio scope.

Frequently Asked Questions

Which markets does this skill cover?

Coverage includes supported United States, Hong Kong, Singapore, and mainland China securities. Specific datasets can have narrower market availability.

Does this skill provide investment advice?

No. It organizes market data and analytical frameworks. Users remain responsible for decisions, suitability, and independent verification.

Does it require a Longbridge account?

Public CLI data may work without login. Portfolio-aware workflows require authorization to access private holdings and watchlists.

Can it analyze insider trading?

Yes. It summarizes SEC Form 4 transactions for supported United States listed companies, subject to source availability.

Can it research DeFi and on-chain activity?

Yes. These workflows use WebSearch and external public sources, so freshness and coverage depend on accessible data.

What should I include in a prompt?

Provide the market-qualified symbol, time horizon, comparison peers, desired depth, and any portfolio context you authorize.