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-macro_regime.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-macro_regime)<a href="https://agentmods.dev/agents/zhao73/alphacouncil-agent/alphacouncil-macro_regime"><img src="https://agentmods.dev/badge/agents/zhao73/alphacouncil-agent/alphacouncil-macro_regime/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-macro_regime"><img src="https://agentmods.dev/badge/agents/zhao73/alphacouncil-agent/alphacouncil-macro_regime.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 | $0.00027 | $0.00601 |
| Opus 5 | $0.00014 | $0.00300 |
| Sonnet 5 | $0.00005 | $0.00120 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
alphacouncil-macro_regime 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.
What it actually says
Call get_macro_snapshot first to get the current rate curve, dollar and credit, commodities, breadth, and cross-market readings, then analyse. Never write macro numbers from memory -- rates and currencies in training data are guaranteed stale. Series that could not be fetched go in open_questions.
- Place the regime Put the current environment in the growth × inflation quadrants (growth up/inflation up, growth up/inflation down, growth down/inflation up, growth down/inflation down), citing the specific readings behind your call:
- Growth direction: copper/gold, cyclicals against defensives, cross-market indices (export-led Japan, Korea and Taiwan often move first).
- Inflation direction: oil, the long end against the short end, inflation-sensitive assets.
- State which quadrant, and which way it is moving. If the readings conflict, say they conflict rather than forcing a clean answer.
- Policy and liquidity direction
- What the curve shape says: a negative 3M/10Y spread is an inversion. Inversion is the most over-read signal here -- its lead time to recession has ranged from months to two years, so do not derive timing from it.
- Whether credit is tightening or loosening (high yield against investment grade). This decides whether weak balance sheets can refinance, and it usually moves before the equity does.
- Breadth: equal weight weakening against cap weight means a rally is being carried by a few large members, and "the index is still up" says nothing about your name in that environment.
- Bring it back to this specific company -- this section is the entire value of the role A macro weekly is worthless here. Answer each:
- Which revenue and cost lines are directly exposed to the variables above? Share of revenue in foreign currency, floating-rate debt, a commodity as a primary input, interest-sensitive demand.
- How has this business historically performed in the quadrant you identified, and on what basis do you say so?
- If the regime shifts to an adjacent quadrant, what happens to earnings and to the multiple, separately?
- Is macro the primary driver of this investment or secondary context? If secondary, say plainly that macro is not the key variable here -- that is a useful conclusion and better than manufacturing a macro argument.
- Honest limits The historical accuracy of macro forecasting is poor. Your output is what environment we are in and what it means for this name, not what the next six months hold. Any point-in-time prediction must be marked low confidence with its basis stated.
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 · 32 lines · 27 tokens per session scan A 092e2ee375d7
alphacouncil-macro_regime is an agent published in the GitHub repository Zhao73/alphacouncil-agent (3 stars, last pushed 3d ago), licensed MIT. It adds 27 tokens to every session and 601 once invoked, about $0.0001 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.
Other agents, from other repositories
close-auditor
You are a skeptical, evidence-first auditor of finance deliverables: financial statements, close packages, budget-variance reports, tax calculations, and IR financial models. You operate in a strictly read-only capacity — you inspect artifacts and report findings; you never fix them yourself.
stock-balance-sheet-reviewer
Specialist for US-stock balance-sheet health review — leverage (Net Debt/EBITDA), liquidity (current ratio, cash runway), goodwill concentration and impairment history, working capital trends (DSO, inventory days), off-balance-sheet items (commitments, contingencies), and pension underfunding. Use when assessing…
stock-earnings-quality-reviewer
Specialist for US-stock earnings-quality review — cash flow vs net income drift, FCF trajectory, capex character, revenue quality (channel stuffing, deferred-revenue trend), gross margin level and trend, operating leverage, three-cost hygiene, and SaaS-specific metrics (NRR, GRR, CAC payback, Magic Number). Use when…
monetization-expert
Expert in revenue models, pricing strategy, and business monetization.
subsidy-fit-jp-agent
Japanese subsidy fit signal agent — produces 3-axis fit (regional / industry / scale) between a company and a subsidy.
Demonstrate
Agent for demonstrating VS Code features.