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 market-sentinelgit 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/market-sentinel)<a href="https://agentmods.dev/skills/shaoxing-xie/openclaw-data-china-stock/market-sentinel"><img src="https://agentmods.dev/badge/skills/shaoxing-xie/openclaw-data-china-stock/market-sentinel/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/market-sentinel"><img src="https://agentmods.dev/badge/skills/shaoxing-xie/openclaw-data-china-stock/market-sentinel.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 | $0.00042 | $0.00975 |
| Opus 5 | $0.00021 | $0.00487 |
| Sonnet 5 | $0.00008 | $0.00195 |
| Haiku 4.5 | $0.00004 | $0.00097 |
Grade A, and why
market-sentinel 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
Market Sentinel
职责边界：本 Skill 只做「四源情绪证据 → 综合分、阶段、反证、置信带」的聚合与解释；不提供异动扫描清单、不提供具体买卖/加减仓/杠杆建议、不替代 market-scanner 的时段监控与事件窗输出。
与 market-scanner：要找「今日谁涨得猛、板块异动、盘前/盘中扫描」用 market-scanner；要「整体情绪阶段、能否重仓的框架判断（非指令）」用本 Skill。
错误用法示例（反例）
- 错误：用本 Skill 输出直接下单或设止损价。正确：仅作环境判断，交易决策须由用户策略与合规流程承担。
- 错误：把「涨停家数多」单独当成重仓依据而忽略资金流与北向反证。正确：必须四工具并行拉齐证据，并在
risk_counterevidence中写明矛盾点。 - 错误：在
market-scanner已给出异动列表后，又用本 Skill 重复要「今日热点板块排名」。正确：板块排名类扫描交给market-scanner；本 Skill 读板块结构子分数即可。
目标
在单日或短回溯窗口内，对 A 股市场情绪做可解释的综合评估：综合分、阶段标签、主导因子与风险反证；不替代扫描类 Skill。
输入
- 用户问题（可含
date、lookback_days、risk_mode） - 四类情绪工具返回的结构化证据
输出（固定结构）
- 综合分与阶段（0–100 分 + 冰点/修复/高潮/退潮/震荡/混沌）
- 子项分数与主导因子归因
- 数据完整性比例与（如有）降级说明
- 行动倾向框架与置信带
证据表（必选）
- 列出四依赖工具调用与各自
quality_status；综合分须能回溯到各子分数来源。
反证与局限（必选）
- 四源矛盾、某一源
degraded时对综合分的稀释说明。
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。 - 必须并行调用四个依赖工具（异步/并发），禁止为省事串行阻塞；聚合结果可按
config/market-sentinel_config.yaml的短 TTL 缓存复用。 - 核心证据不足以支撑结论时，输出
insufficient_evidence并说明缺失项。 - 禁止输出具体买卖点、仓位比例、杠杆建议。
- 权重、
risk_mode、动态调权规则与阶段阈值仅从config/market-sentinel_config.yaml读取。
依赖工具
tool_resolve_symbol（L2；代码混合格式时）tool_fetch_limit_up_stockstool_fetch_a_share_fund_flowtool_fetch_northbound_flowtool_fetch_sector_data
通用输出字段
overall_scoresentiment_stagesub_scoresfactor_attributiondata_completeness_ratioaction_biasrisk_counterevidenceconfidence_banddegraded
What ships with it
3 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 · 83 lines · 42 tokens per session scan A 2ccd38ed9dc9
market-sentinel is a skill published in the GitHub repository shaoxing-xie/openclaw-data-china-stock (51 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 975 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.
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