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 EthanAlgoX/LLM-TradeBot --skill a-share-macro-reviewgit clone --depth 1 https://github.com/EthanAlgoX/LLM-TradeBotWrote 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/ethanalgox/llm-tradebot/a-share-macro-review)<a href="https://agentmods.dev/skills/ethanalgox/llm-tradebot/a-share-macro-review"><img src="https://agentmods.dev/badge/skills/ethanalgox/llm-tradebot/a-share-macro-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/ethanalgox/llm-tradebot/a-share-macro-review"><img src="https://agentmods.dev/badge/skills/ethanalgox/llm-tradebot/a-share-macro-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00280 |
| Opus 5 | $0.00014 | $0.00140 |
| Sonnet 5 | $0.00005 | $0.00056 |
| Haiku 4.5 | $0.00003 | $0.00028 |
Grade A, and why
a-share-macro-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 6d 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
A 股宏观分析
分析框架改造自 MIT 许可的 openclaw-data-china-stock 中 china-macro-analyst，仅保留适合本平台的数据质量和解释规则。
主链路为：信用周期 → 财政力度 → 房地产 → 国内流动性 → 经济修复。
- 优先检查社融与信用、LPR/货币政策、财政脉冲和房地产趋势。
- 使用 PMI、CPI、PPI、GDP 等已提供发布值确认增长与利润环境。
- USD/CNH、中国利率和全球商品只作为传导变量，不替代国内主线。
- 任一主线缺数时明确写“未接入/本次快照缺失”，不得由新闻语气推导数值。
- 结论应落到大盘风格、行业敏感度和下一观察触发条件，不直接生成订单。
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.
- 6d ago First seen · 25 lines · 27 tokens per session scan A e4dd6e0e5f55
a-share-macro-review is a skill published in the GitHub repository EthanAlgoX/LLM-TradeBot (316 stars, last pushed 4d ago), licensed MIT. It adds 27 tokens to every session and 280 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 2026-09-05.
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