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 daloopa/daloopa-plugin-claude --skill earnings-flashgit clone --depth 1 https://github.com/daloopa/daloopa-plugin-claudeWrote 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/daloopa/daloopa-plugin-claude/earnings-flash)<a href="https://agentmods.dev/skills/daloopa/daloopa-plugin-claude/earnings-flash"><img src="https://agentmods.dev/badge/skills/daloopa/daloopa-plugin-claude/earnings-flash/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/daloopa/daloopa-plugin-claude/earnings-flash"><img src="https://agentmods.dev/badge/skills/daloopa/daloopa-plugin-claude/earnings-flash.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 | $0.00014 | $0.01811 |
| Opus 5 | $0.00007 | $0.00905 |
| Sonnet 5 | $0.00003 | $0.00362 |
| Haiku 4.5 | $0.00001 | $0.00181 |
Grade A, and why
earnings-flash 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 10d 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-flash — 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate a rapid earnings flash for the company specified by the user: $ARGUMENTS
This is a lightweight, speed-focused version of /earnings-review — designed for a quick first read within minutes of a filing. It pulls just enough context from Daloopa to frame BEAT/MISS verdicts, then focuses on what's new and surprising.
Before starting, read ../data-access.md for data access methods and ../design-system.md for formatting conventions. Follow the data access detection logic and design system throughout this skill.
1. Company Lookup
Look up the company by ticker using discover_companies. Capture:
company_idlatest_calendar_quarter— anchor for all period calculations (see../data-access.mdSection 1.5)latest_fiscal_quarter- Firm name for report attribution (default: "Daloopa") — see
../data-access.mdSection 4.5
2. Prior Quarter Context (4 Quarters)
Calculate 4 quarters backward from latest_calendar_quarter. Search for and pull these core metrics:
Income Statement:
- Revenue / Net Sales
- Gross Profit
- Operating Income / EBIT
- Net Income
- Diluted EPS
Cash Flow:
- Operating Cash Flow
- Free Cash Flow (or CapEx to compute it)
This is lighter than /earnings-review (4Q vs 8Q, no cost structure breakdown). The goal is just enough history to frame the latest quarter's results — not a full trend analysis.
3. Company-Specific KPIs
Think about the 3-5 most important KPIs for THIS company based on its business model. Search for those specific KPIs and pull for the same 4-quarter period. Also search for:
- Segment/product revenue breakdown
- Geographic revenue breakdown (if material)
Keep this targeted — discover the critical operating metrics, not everything available.
4. Guidance Series
Search for guidance series (revenue guidance, EPS guidance, margin guidance, any KPI guidance). If available, pull guidance data for the latest 2 quarters so you can compare the most recent actual results against what management guided.
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.
- 10d ago First seen · 162 lines · 14 tokens per session scan A 4696cb854825
earnings-flash is a skill published in the GitHub repository daloopa/daloopa-plugin-claude (8 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 14 tokens to every session and 1,811 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to earnings-flash, differing in 0 lines, and is treated as a copy.
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