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 skloxo/TideTrading --skill earnings-revisiongit clone --depth 1 https://github.com/skloxo/TideTradingWrote 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/skloxo/tidetrading/earnings-revision)<a href="https://agentmods.dev/skills/skloxo/tidetrading/earnings-revision"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/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/skloxo/tidetrading/earnings-revision"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/earnings-revision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
This is a copy
100% identical to earnings-revision — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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 skloxo/TideTrading (10 stars, last pushed 4d ago), 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. It is 100% identical to earnings-revision, differing in 0 lines, and is treated as a copy.
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