Agent skill · Business & Finance

longbridge-insresearch

Institutional research and analyst ratings — buy/hold/sell distribution, consensus price target, EPS/revenue forecasts, and rating change history. ESG and credit ratings are not available via Longbridge. Triggers: "研报评级", "机构评级", "买入评级", "目标价", "机构观点", "分析师推荐", "券商评级", "机构研究", "研報評級", "機構評級", "買入評級", "目標價", "機構觀點", "分析師推薦", "券商評級", "analyst rating", "institution rating", "buy rating", "price target", "broker recommendation", "analyst opinion", "research rating", "sell-side rating", "consensus target", "EPS forecast", "analyst consensus".

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill longbridge-insresearch --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Version: 1.0.0
Declared author: longbridge
Path: skills/analysis/longbridge-insresearch/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# longbridge-insresearch Institutional research and analyst ratings for Longbridge-covered securities — buy/hold/sell distribution, consensus price target, forward EPS/revenue estimates, and rating change history. > **Response language**: match the user's input language — Simplified Chinese / Traditional Chinese / English. ## When to use Trigger when the user asks about: - Analyst rating distribution — *"NVDA 有多少个买入评级"*, *"AAPL 分析师怎么看"* - Consensus price target — *"特斯拉目标价共识"*, *"TSLA analyst price target"* - Forward EPS / revenue estimates — *"苹果下个季度EPS预测"*, *"NVDA revenue forecast"* - Rating change history — *"近期哪些机构升级了这只股票"*, *"recent rating upgrades"* For full fundamentals, prefer `longbridge-fundamental`. For insider trades, prefer `longbridge-flows`. ## Workflow 1. Normalise the symbol to `<CODE>.<MARKET>`. 2. Run `longbridge institution-rating` for buy/hold/sell distribution and recent rating events. 3. Run `longbridge consensus` for consensus price target and aggregated analyst view. 4. Run `longbridge forecast-eps` for forward EPS and revenue estimates by period. 5. Synthesise into a structured analyst overview: rating distribution pie, consensus target vs. current price up

What's inside
Steps it walks through
  1. When to use
  2. Workflow
  3. CLI
  4. Output
  5. Error handling
  6. MCP fallback
  7. Related skills
  8. File layout
Ships with 1 file
  • metadata.json
Commands it runs
Buy / hold / sell distribution and recent rating events
longbridge institution-rating <SYMBOL> --format json
Consensus price target and aggregated analyst view
longbridge consensus <SYMBOL> --format json
Forward EPS and revenue estimates
longbridge forecast-eps <SYMBOL> --format json
More from claude-skill-registry
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About this skill
What does the longbridge-insresearch skill do?

Institutional research and analyst ratings — buy/hold/sell distribution, consensus price target, EPS/revenue forecasts, and rating change history. ESG and credit ratings are not available via Longbridge. Triggers: "研报评级", "机构评级", "买入评级", "目标价", "机构观点", "分析师推荐", "券商评级", "机构研究", "研報評級", "機構評級", "買入評級", "目標價", "機構觀點", "分析師推薦", "券商評級", "analyst rating", "institution rating", "buy rating", "price target", "broker recommendation", "analyst opinion", "research rating", "sell-side rating", "consensus target", "EPS forecast", "analyst consensus".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill longbridge-insresearch --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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