longbridge-graham-screener
Graham cigar-butt batch screener — runs Benjamin Graham's NCAV / net-net / defensive-investor hard filters across an index or market universe and returns a ranked candidate list with NCAV ratio, PE, PB, dividend yield, debt coverage, 5y earnings stability, Graham buy price, and a dynamic value-trap warning. Longbridge CLI first; MCP fallback if CLI unavailable; WebSearch fills genuine gaps (PMI, sector outlook). Every figure footnoted to its source. Auto-switches model for banks / insurance / REITs and flags <2y IPOs and suspended names. Triggers: "格雷厄姆筛选", "格雷厄姆选股", "捡烟蒂榜单", "烟蒂股榜", "NCAV筛选",
npx skills add majiayu000/claude-skill-registry --skill longbridge-graham-screener --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# longbridge-graham-screener Prompt-only batch screener. Given a market or index universe, applies Graham's six hard filters (NCAV, PE, PB, dividend yield, debt coverage, earnings stability), scores each name on a 100-point static + dynamic composite, and returns a ranked list of stocks meeting Graham's quantitative criteria, with Graham buy lines, holding-period expectation, and value-trap warnings. > **Response language**: match the user's input language — Simplified Chinese / Traditional Chinese / English. ## When to use - *"港股里现在有没有 NCAV<1 的股票"* / *"港股裡現在有沒有 NCAV<1 的股票"* / *"any HK stocks with NCAV < 1"* - *"给我 A 股 PE 最低的 20 只股票,格雷厄姆标准"* / *"給我 A 股 PE 最低的 20 隻股票,格雷厄姆標準"* / *"top 20 lowest-PE A-shares by Graham standard"* - *"帮我筛一下符合格雷厄姆防御型投资者条件的美股"* / *"幫我篩一下符合格雷厄姆防禦型投資者條件的美股"* / *"screen US stocks meeting Graham defensive-investor rules"* - *"沪深300里的烟蒂股"* / *"滬深300裡的煙蒂股"* / *"cigar-butt names in CSI 300"* - *"每周更新港股 NCAV 排行榜"* / *"每週更新港股 NCAV 排行榜"* / *"weekly HK NCAV leaderboard"* For single-stock deep diagnostic use `longbridge-graham-stock-analysis`. For broader low-PE / low-PB / high-ROE value (not NCAV-centric) use `longbridge-value-screen`. For high-dividend-only screens
- When to use
- Cognitive frame (do not skip)
- Workflow
- CLI
- WebSearch fallback (use only when Longbridge has the gap)
- Filters
- Special handling
- Output
- Error handling
- MCP fallback
- Related skills
- File layout
Universe longbridge constituent <INDEX> --format json # e.g. 000300.SH, HSI.HK, SPX.US Per-symbol snapshot (run in parallel, batches of ≤20) longbridge calc-index <SYMBOL> --format json # PE / PB / market cap / ROE / dividend yield longbridge quote <SYMBOL> --format json # current price + suspended flag longbridge dividend <SYMBOL> --format json # TTM dividend (waiting-cost) Per-symbol fundamentals (run in parallel) longbridge financial-report <SYMBOL> --kind BS --report af --format json # 5y annual BS → NCAV longbridge financial-statement <SYMBOL> --kind BS --report qf --format json # last 4Q BS → NCAV trajectory longbridge financial-report <SYMBOL> --kind IS --report af --format json # 5y annual IS → earnings stability
What does the longbridge-graham-screener skill do?
Graham cigar-butt batch screener — runs Benjamin Graham's NCAV / net-net / defensive-investor hard filters across an index or market universe and returns a ranked candidate list with NCAV ratio, PE, PB, dividend yield, debt coverage, 5y earnings stability, Graham buy price, and a dynamic value-trap warning. Longbridge CLI first; MCP fallback if CLI unavailable; WebSearch fills genuine gaps (PMI, sector outlook). Every figure footnoted to its source. Auto-switches model for banks / insurance / REITs and flags <2y IPOs and suspended names. Triggers: "格雷厄姆筛选", "格雷厄姆选股", "捡烟蒂榜单", "烟蒂股榜", "NCAV筛选",
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill longbridge-graham-screener --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.
