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-reviewgit 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-review)<a href="https://agentmods.dev/skills/daloopa/daloopa-plugin-claude/earnings-review"><img src="https://agentmods.dev/badge/skills/daloopa/daloopa-plugin-claude/earnings-review/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-review"><img src="https://agentmods.dev/badge/skills/daloopa/daloopa-plugin-claude/earnings-review.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 | $0.03613 |
| Opus 5 | $0.00007 | $0.01806 |
| Sonnet 5 | $0.00003 | $0.00723 |
| Haiku 4.5 | $0.00001 | $0.00361 |
Grade A, and why
earnings-review 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 11d 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-review — 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 — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Perform a comprehensive earnings analysis for the company specified by the user: $ARGUMENTS
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.
Follow these steps:
1. Company Lookup
Look up the company by ticker using discover_companies. Capture:
company_idlatest_calendar_quarter— anchor for all period calculations below (see../data-access.mdSection 1.5)latest_fiscal_quarter- Firm name for report attribution (default: "Daloopa") — see
../data-access.mdSection 4.5
2. Core Financial Metrics
Calculate 8 quarters backward from latest_calendar_quarter. Search for these metrics, then pull:
Income Statement:
- Revenue / Net Sales
- Gross Profit
- Operating Income / EBIT
- EBITDA (if not reported, compute as Operating Income + D&A — label it "EBITDA (calc.)")
- Net Income
- Diluted EPS
- Operating Expenses (SG&A, R&D where available)
Cash Flow & Balance Sheet:
- Operating Cash Flow
- CapEx (Purchases of property, plant and equipment)
- Free Cash Flow (compute as Operating Cash Flow - CapEx — label it "FCF (calc.)")
- D&A (needed for EBITDA calc if not directly reported)
For any derived/computed metric, mark it with "(calc.)" so the reader knows it's not directly sourced.
Flag any one-time items that distort a quarter (e.g., tax charges, impairments, litigation settlements) with a footnote so YoY comparisons aren't misleading.
3. Company-Specific KPIs
First, think about what the most important KPIs are for THIS specific company based on its business model and what drives its valuation. For example:
- SaaS/cloud: ARR, net revenue retention, RPO/cRPO, customers >$100K
- Consumer tech: DAU/MAU, ARPU, engagement metrics, installed base, paid subscribers
- E-commerce/marketplace: GMV, take rate, active buyers/sellers, order frequency
- Retail: same-store sales, store count, average ticket, transactions
- Telecom/media: subscribers, churn, ARPU, content spend
- Hardware: units shipped, ASP, attach rate
- Financial services: AUM, NIM, loan growth, credit quality metrics
- Pharma/biotech: pipeline stage, patient starts, scripts, market share
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.
- 11d ago First seen · 236 lines · 14 tokens per session scan A 5fcaadfc5288
earnings-review 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 3,613 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-review, differing in 0 lines, and is treated as a copy.
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