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 byteseek/Mira --skill macro-economic-analysisgit clone --depth 1 https://github.com/byteseek/MiraWrote 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/byteseek/mira/macro-economic-analysis)<a href="https://agentmods.dev/skills/byteseek/mira/macro-economic-analysis"><img src="https://agentmods.dev/badge/skills/byteseek/mira/macro-economic-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/byteseek/mira/macro-economic-analysis"><img src="https://agentmods.dev/badge/skills/byteseek/mira/macro-economic-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 21 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00032 | $0.02549 |
| Opus 5 | $0.00016 | $0.01274 |
| Sonnet 5 | $0.00006 | $0.00510 |
| Haiku 4.5 | $0.00003 | $0.00255 |
Grade A, and why
macro-economic-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 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.
How it starts
The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Macro Economic Analysis Skill
这个 skill 用于把宏观经济分析转成可执行的资产定价判断。
它不是宏观背景介绍,也不是经济学教材式综述。它服务于一个核心问题:
当前宏观状态是否正在改变目标资产的盈利路径、贴现率、风险溢价、流动性、仓位或催化剂时间表?
Use When
- 研究对象是指数、宏观敏感资产、周期股、资源品、银行、地产、出口链、黄金、美债、美元或高估值成长股。
- 单票研究中,价格波动明显由利率、通胀、增长、政策、美元、信用、资金流或风险偏好解释。
- 财报或公司事件本身不足以解释价格,必须判断市场在交易
growth scare、reflation、policy pivot、liquidity easing/tightening或risk-off/risk-on。 - 用户明确要求宏观、利率、经济周期、央行、财政、流动性或市场风险偏好分析。
如果研究对象是具体商品、商品期货曲线、库存、供需平衡或成本曲线,先使用 skills/commodity-cycle-analysis/SKILL.md。只有当商品冲击传导到通胀、利率、财政、外部账户、美元、信用或风险偏好时,才升级为本 macro skill 或叠加 macro overlay。
Required Inputs
asset_or_tickermarket_scoperesearch_questionresearch_cutoff_datethesis_horizoncurrent_market_pricing例如收益率曲线、Fed funds futures、美元、信用利差、指数走势、行业相对强弱、估值倍数。macro_sources至少覆盖官方数据、央行/财政/国际组织材料、市场定价数据,以及机构或 practitioner 观点中的两类。
Macro Regime Map
先用以下维度判断当前 regime。不要机械打分,要写清楚哪些变量真正影响本次研究对象。
1. Growth
关注:
- GDP、工业生产、PMI、零售、消费、就业、收入、企业投资、库存周期。
- 需求是加速、减速、韧性还是断裂。
- 增长变化是 broad-based,还是只集中在少数行业或 capex 主题。
核心问题:
- 增长变化影响的是收入 beta、盈利弹性、信用质量,还是风险偏好?
2. Inflation
关注:
- CPI、PCE、PPI、工资、租金、商品、能源、进口价格、通胀预期。
- 通胀是需求拉动、供给冲击、工资粘性,还是政策/关税/汇率传导。
核心问题:
- 通胀变化是否改变央行反应函数、实际利率、利润率或估值倍数?
3. Policy
关注:
- 央行政策路径、forward guidance、财政脉冲、税收、产业政策、监管政策、贸易政策。
- 市场预期路径与政策制定者反应函数是否偏离。
核心问题:
- 政策是提供 liquidity cushion,还是制造 discount-rate / margin / demand shock?
4. Liquidity And Financial Conditions
关注:
- 实际利率、收益率曲线、期限溢价、美元流动性、QT/QE、准备金、TGA、回购市场、信用利差、银行信贷、融资成本。
- 金融条件内部是否分裂,例如利率收紧但信用利差和股票估值仍宽松。
核心问题:
- 当前融资环境会放大还是压制风险资产估值、企业融资、回购、并购和 capex?
5. Credit
关注:
- 投资级与高收益利差、违约率、贷款标准、银行放贷、私募信用、再融资墙、杠杆水平。
核心问题:
- 信用条件是否正在改变企业生存性、投资能力、估值下限或尾部风险?
6. FX And Rates
关注:
- 美元指数、实际利率、名义利率、曲线形态、期限溢价、跨币种套保成本、资本流向。
核心问题:
- 汇率和利率通过收入换算、进口成本、资金流、估值贴现或外债压力传导到资产了吗?
7. Risk Appetite And Positioning
关注:
- VIX、信用利差、股债相关性、市场宽度、资金流、CTA/vol-control、期权偏度、拥挤度、主题集中度。
核心问题:
- 价格变化来自基本面 revision,还是来自仓位、杠杆、流动性和风险预算变化?
8. Market Pricing
这是必须单独写的一层。
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 · 256 lines · 32 tokens per session scan A e0273fcc1e66
macro-economic-analysis is a skill published in the GitHub repository byteseek/Mira (268 stars, last pushed 3d ago), licensed Apache-2.0. It adds 32 tokens to every session and 2,549 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 2026-08-30.
Other skills, from other repositories
cost
Deep cost exploration and transparency. Shows real token usage, session costs, campaign spend, burn rates, and model breakdown. Reads Claude Code's native session data for exact numbers. Complements /dashboard with focused cost views.
creating-financial-models
A financial analysis toolkit for valuing companies, projects, or acquisitions and testing how assumptions affect the results.
aml_screening
Screen transactions for money laundering patterns and risk indicators.
get_financial_statements
Get financial statements (income, balance, cash flow) for a company.
analyze_risk_metrics
Calculate risk metrics (VaR, Sharpe, volatility) given a set of returns.
fetch_economic_indicators
Fetch economic indicators like GDP, CPI, Unemployment.