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 shaoxing-xie/openclaw-data-china-stock --skill china-macro-analystgit clone --depth 1 https://github.com/shaoxing-xie/openclaw-data-china-stockWrote 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/shaoxing-xie/openclaw-data-china-stock/china-macro-analyst)<a href="https://agentmods.dev/skills/shaoxing-xie/openclaw-data-china-stock/china-macro-analyst"><img src="https://agentmods.dev/badge/skills/shaoxing-xie/openclaw-data-china-stock/china-macro-analyst/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/shaoxing-xie/openclaw-data-china-stock/china-macro-analyst"><img src="https://agentmods.dev/badge/skills/shaoxing-xie/openclaw-data-china-stock/china-macro-analyst.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 | $0.00028 | $0.00616 |
| Opus 5 | $0.00014 | $0.00308 |
| Sonnet 5 | $0.00006 | $0.00123 |
| Haiku 4.5 | $0.00003 | $0.00062 |
Grade A, and why
china-macro-analyst 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 13d 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
China Macro Analyst
目标
基于插件内宏观采集工具，对宏观数据进行机构化、可追溯、可复核的结构化解读。
输入
- 用户问题
- 工具输出（宏观数据）
- 可选政策文本
输出（固定四段）
- 宏观状态（事实）
- 边际变化（环比/同比/修订）
- 资产含义（风格偏好，不给执行性交易指令）
- 风险与反证（与主结论冲突的数据、失效条件）
证据表（必选）
- 列出
tool_fetch_macro_data/tool_fetch_macro_snapshot等调用与quality_status；指标数值须对应工具输出字段。
反证与局限（必选）
- 数据修订、频率错配、单指标噪声对结论的影响。
强制规则
- 仅通过 manifest /
tool_runner调用依赖工具，禁止引导直连plugins.data_collection。 - 先取数后解读，禁止先入为主叙事。
- 必须引用证据：增长/通胀/信用至少各 1 个指标。
- 当关键字段缺失时输出
insufficient_evidence。 - 禁止输出买卖点、仓位比例、杠杆建议。
- 象限阈值与映射从
config/macro_config.yaml读取，不在文本中硬编码。
依赖工具
tool_resolve_symbol（L2；宏观叙事需挂靠指数/期货等代码时可选）tool_fetch_macro_data（统一入口，推荐）tool_fetch_macro_snapshot（快照入口）- 兼容入口：
tool_fetch_macro_*
通用输出字段
summarymacro_statedelta_viewallocation_biasrisk_counterevidenceevidenceconfidence_band（low/medium/high）
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 13d ago First seen · 79 lines · 28 tokens per session scan A 8cf77787ee82
china-macro-analyst is a skill published in the GitHub repository shaoxing-xie/openclaw-data-china-stock (51 stars, last pushed 4mo ago), licensed MIT. It adds 28 tokens to every session and 616 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 2026-08-30.
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