Vibe-Trading is a personal trading agent that gives an AI system tools for market analysis, algorithmic trading, backtesting, and related workflows. It is for users who want an agent to research and evaluate trading strategies or manage simulated and other trading activities. The catalogue contains skills that expose these trading capabilities to compatible agents.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add HKUDS/Vibe-Trading --skill earnings-revisiongit clone --depth 1 https://github.com/HKUDS/Vibe-TradingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/hkuds/vibe-trading/earnings-revision)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/earnings-revision"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/earnings-revision/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hkuds/vibe-trading/earnings-revision"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/earnings-revision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.02468 |
| Opus 5 | $0.00022 | $0.01234 |
| Sonnet 5 | $0.00009 | $0.00494 |
| Haiku 4.5 | $0.00004 | $0.00247 |
Grade A, and why
earnings-revision scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- earnings-revision — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Earnings Revision & Guidance Analysis
Overview
Track sell-side analyst estimate revisions, management guidance changes, and post-earnings price drift to generate investment signals. Earnings revisions are among the most persistent and well-documented alpha factors in equity markets — stocks with upward revisions tend to continue outperforming, and vice versa.
Core Concepts
1. Earnings Revision Momentum
The revision signal hierarchy (strongest to weakest):
| Signal Type | Description | Typical Alpha (annualized) | Persistence |
|---|---|---|---|
| Earnings surprise (beat/miss) | Actual EPS vs consensus | 3-8% post-event drift | 60-90 days (PEAD) |
| Consensus revision breadth | % of analysts revising up vs down | 4-6% long-short spread | 3-6 months |
| Estimate magnitude change | Size of revision relative to prior estimate | 3-5% | 1-3 months |
| Guidance revision | Management guidance change vs prior | 5-10% on event | Immediate + 30-60 day drift |
| Whisper number miss/beat | Actual vs buy-side whisper (not official consensus) | 2-4% | 1-2 weeks |
2. Key Metrics
Earnings Surprise:
# Standardized Unexpected Earnings (SUE)
sue = (actual_eps - consensus_eps) / std_of_forecast_errors
# Interpretation
# SUE > +2: large positive surprise → strong PEAD signal
# SUE < -2: large negative surprise → strong negative PEAD
# |SUE| < 0.5: in-line with expectations → weak signal
Revision Breadth:
# Revision breadth ratio
breadth = (num_upgrades - num_downgrades) / total_analysts
# Interpretation
# breadth > +0.5: strong consensus upgrade momentum
# breadth < -0.5: strong consensus downgrade momentum
# |breadth| < 0.2: mixed / no clear direction
Estimate Dispersion:
# Analyst disagreement
dispersion = std_of_estimates / abs(mean_estimate)
# High dispersion (>15%): high uncertainty → larger potential surprise
# Low dispersion (<5%): tight consensus → smaller surprise but higher confidence
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 234 lines · 43 tokens per session scan A 0f50849bf417
earnings-revision is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,258 stars, last pushed today), licensed MIT. It adds 43 tokens to every session and 2,468 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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