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 nimadorostkar/Claude-Skills-collection --skill earnings-analysisgit clone --depth 1 https://github.com/nimadorostkar/Claude-Skills-collectionWrote 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/nimadorostkar/claude-skills-collection/earnings-analysis)<a href="https://agentmods.dev/skills/nimadorostkar/claude-skills-collection/earnings-analysis"><img src="https://agentmods.dev/badge/skills/nimadorostkar/claude-skills-collection/earnings-analysis/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/nimadorostkar/claude-skills-collection/earnings-analysis"><img src="https://agentmods.dev/badge/skills/nimadorostkar/claude-skills-collection/earnings-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00042 | $0.01424 |
| Opus 5 | $0.00021 | $0.00712 |
| Sonnet 5 | $0.00008 | $0.00285 |
| Haiku 4.5 | $0.00004 | $0.00142 |
Grade A, and why
earnings-analysis 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Earnings Analysis
Purpose
Read an earnings report for what matters, and read the market's reaction as information in its own right. A stock falling on a beat is telling you something that the beat alone does not.
When to Use
- Analyzing a company's quarterly results.
- Interpreting an unexpected reaction to a report.
- Assessing guidance and its credibility.
- Deciding whether to hold a position through an announcement.
Capabilities
- Reading the release: revenue quality, margins, guidance, one-time items.
- Reaction analysis: what a move against the result implies.
- Guidance assessment and management credibility.
- Post-earnings-announcement drift.
- Gap risk assessment before a report.
Inputs
- The release, the guidance, and the call transcript.
- Consensus expectations, and — more importantly — the whisper number.
- The stock's positioning and implied move going in.
Outputs
- What the report actually said, separated from what the headline said.
- An interpretation of the reaction.
- The implication for a position.
Workflow
- Read the guidance first — The market discounts the future. A quarter that beat, with guidance cut, is a bad report. The headline EPS number is the least important figure in the release.
- Check the quality of the beat — Revenue beat, or a lower tax rate? Margin expansion, or a one-time gain? A beat driven by a buyback reducing the share count is not operating performance.
- Read the reaction as information — A stock that falls on a beat means expectations were higher than the published consensus, or the guidance disappointed, or the market disbelieves something. It is information, and it is usually more reliable than your reading of the release.
- Assess management's credibility — Compare this guidance with the last four. Management that guides conservatively and beats is different from management that guides optimistically and misses.
- Consider the drift — Stocks that gap up on a genuine surprise have historically tended to continue drifting in that direction for weeks. This is one of the most persistent documented anomalies, and it is also a crowded one.
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.
- 9d ago First seen · 124 lines · 42 tokens per session scan A 0db42b5a6085
earnings-analysis is a skill published in the GitHub repository nimadorostkar/Claude-Skills-collection (26 stars, last pushed 25d ago), licensed MIT. It adds 42 tokens to every session and 1,424 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 2026-09-03.
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