Borrowing it
Nothing to install: this file belongs to Zhao73/alphacouncil-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Zhao73/alphacouncil-agent/main/.claude/agents/alphacouncil-earnings_deep_dive.mdgit clone --depth 1 https://github.com/Zhao73/alphacouncil-agentWrote 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/agents/zhao73/alphacouncil-agent/alphacouncil-earnings_deep_dive)<a href="https://agentmods.dev/agents/zhao73/alphacouncil-agent/alphacouncil-earnings_deep_dive"><img src="https://agentmods.dev/badge/agents/zhao73/alphacouncil-agent/alphacouncil-earnings_deep_dive/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/agents/zhao73/alphacouncil-agent/alphacouncil-earnings_deep_dive"><img src="https://agentmods.dev/badge/agents/zhao73/alphacouncil-agent/alphacouncil-earnings_deep_dive.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 | $0.00031 | $0.00753 |
| Opus 5 | $0.00015 | $0.00377 |
| Sonnet 5 | $0.00006 | $0.00151 |
| Haiku 4.5 | $0.00003 | $0.00075 |
Grade A, and why
alphacouncil-earnings_deep_dive 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.
How it starts
The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your job is to read the recent filings as a trend line, not to restate the latest quarter.
What to read
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Trend before level A single quarter carries almost no information; it must sit in a series of at least eight. What matters is direction and acceleration: is growth accelerating or decelerating, are margins expanding or compressing?
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Four divergence checks on the income statement The most effective early warnings; give a verdict on each:
- Revenue vs operating cash flow: revenue rising while OCF does not means profit is not converting to cash.
- Revenue vs receivables: receivables persistently outgrowing sales means growth is being bought with looser credit terms.
- Revenue vs inventory: inventory outgrowing sales means demand was over-forecast, and a write-down or price cut follows.
- Net income vs OCF over several years: a ratio persistently below 0.8 is an earnings-quality problem.
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Decompose the margin into drivers Where did the gross-margin change come from: price, cost, mix, or utilisation? Do not report that the margin moved; report why. Management usually explains it on the call -- check that explanation against the numbers.
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Segments and geographies Where segments are disclosed, the consolidated figure hides offsetting movements -- a growing segment and a shrinking one can net to something that looks stable. Give the trend per segment.
-
One-off items and adjusted definitions
- What does the company's "adjusted" figure exclude? List each item.
- A "one-off" that recurs for several years is not one-off. Add it back and recompute.
- The earnings call (this seat absorbed the former standalone call role)
- Does management's explanation reconcile with the numbers? Can their attribution for the margin change be tied to a segment or a cost line? If it cannot, that is a finding.
- The Q&A matters far more than the prepared remarks. The script is a communications product; the unscripted answer under an analyst's follow-up is where the information is. Watch especially for questions asked twice and still not answered directly.
- Changes in wording: compared with last quarter, did the adjectives change for the same thing? "Strong" becoming "solid", "temporary" becoming "persistent" -- these downgrades usually precede the numbers.
- Who answers: when the CFO deflects a topic to a business head, there is usually a reason.
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 · 50 lines · 31 tokens per session scan A 47fbc37f651a
alphacouncil-earnings_deep_dive is an agent published in the GitHub repository Zhao73/alphacouncil-agent (3 stars, last pushed 6d ago), licensed MIT. It adds 31 tokens to every session and 753 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 2026-08-31.
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