Install
$ agentstack add skill-alphagbm-skills-alphagbm-tepper-signal ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
AlphaGBM Tepper Panic-Buy Signal
David Tepper made two historic panic-bottom calls: March 2009 ("I'm betting on the Fed") and March 2020 (COVID bottom). Both had identical fingerprints: VIX spiked > 40, multi-indicator fear was maxed, and Tepper loaded quality large-caps (banks 2009, SPY/QQQ 2020).
This skill mechanizes that fingerprint.
The Signal Logic
Three gates must all pass for the signal to arm:
- VIX ≥ 35 — extreme fear, not just elevated
- FearScore ≥ 80 — multi-indicator panic (reuses existing FearScore module:
VIX + IV Rank + RSI + Volume + Put/Call + Consec-Down-Days)
- Quality filter — market cap > $50B AND profit margin > 0 (no memes,
concept stocks, or pre-revenue small caps)
When all three pass → signal: true, level: armed.
Signal Levels
| Level | Condition | Prescription | |-------|-----------|--------------| | armed | VIX ≥ 35 AND Fear ≥ 80 | 🔥 Historic-level buying moment — scale into SPY/QQQ/DIA | | watch | VIX ≥ 30 OR Fear ≥ 70 | ⚡ Approaching — prepare capital, don't act yet | | near | VIX ≥ 25 OR Fear ≥ 60 | Lukewarm — far from Tepper-level panic | | cold | below | Calm — the patience state, which is most of the time |
Tepper's own framework includes "do nothing" as a first-class state. Most calls to this endpoint will return cold — that's by design. The value isn't in the signal firing often, it's in never missing a VIX > 40 event.
Why This Is a Separate Skill
alphagbm-fear-score gives the raw panic index. alphagbm-vix-status gives the VIX tier. This skill combines them with Tepper's specific criteria (quality filter + threshold rules) to produce a single yes/no decision.
How to Use
Input:
ticker(optional, defaultSPY) — the quality-filter applies to this ticker
Output:
vix,fear_score— the two input signalsvix_pass,fear_pass,quality_pass— per-gate booleanssignal— final booleanlevel—armed / watch / near / coldrecommended_etfs—["SPY", "QQQ", "DIA"](quality large-cap universe)advice_zh,advice_en— natural-language prescription
Example Queries
is this a Tepper buy signal→ call with default SPYpanic-buy check on QQQ→ substitute QQQshould I buy the panic now→ returnscoldif calm → "wait, this is the patience state"am I missing a historic bottom→ the only time this fires, the answer is "yes, don't miss it"Tepper-style entry for DIA→ quality large-cap → passes quality filter
Mock Data
Mock data in mock-data/tepper-signal/ — samples for armed (VIX 42, Fear 85) and cold (VIX 17, Fear 35).
API Endpoint
POST /api/masters/tepper-signal
Content-Type: application/json
Request body:
{"ticker": "SPY"}
Response shape:
{
"success": true,
"ticker": "SPY",
"vix": 42.0,
"fear_score": 85,
"vix_pass": true,
"fear_pass": true,
"quality_pass": true,
"signal": true,
"level": "armed",
"recommended_etfs": ["SPY", "QQQ", "DIA"],
"advice_zh": "信号激活 — VIX 42.0、FearScore 85。按 Tepper 2009/2020 规则,分批买入大盘质量 ETF (SPY, QQQ, DIA)。不要买概念股或小盘股。",
"advice_en": "Signal armed — VIX 42.0, FearScore 85. Per Tepper 2009/2020, scale into quality large-cap ETFs (SPY, QQQ, DIA). No memes, no small caps.",
"timestamp": "2026-04-24T08:00:00"
}
Pricing: 1 option-analysis credit per call; 5-min cache per ticker (cache hits free).
Related Skills
| Skill | Relevance | |-------|-----------| | [alphagbm-fear-score](../alphagbm-fear-score/) | The underlying panic index — component of this signal | | [alphagbm-vix-status](../alphagbm-vix-status/) | Standalone VIX tier — complementary read | | [alphagbm-duan-analysis](../alphagbm-duan-analysis/) | Duan's VIX ≥ 35 panic-buy philosophy on a specific ticker |
Powered by AlphaGBM — Real-data options & research intelligence. 10K+ users.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: AlphaGBM
- Source: AlphaGBM/skills
- License: MIT
- Homepage: https://www.alphagbm.com/skills
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.