Install
$ agentstack add skill-atorber-qmt-trading-skill-qmt-bridge-event-calendar ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
QMT Trading Skill · 事件日历
> 实现状态:✅ calendar_check.py 可用
目标
交易与风控的时间上下文:是否可交易、下一交易日、用户自定义规则检查。
规划脚本
| 脚本 | 作用 | |------|------| | scripts/calendar_check.py | 今日是否交易日、上下交易日、当前是否在交易时段 |
主要 API
| 方法 | 路径 | 说明 | |------|------|------| | GET | /api/calendar/is_trading_date | 是否交易日 | | GET | /api/calendar/trading_dates | 交易日列表 | | GET | /api/calendar/holidays | 节假日 | | GET | /api/calendar/trading_period | 交易时段 | | GET | /api/calendar/prev_trading_date | 上一交易日 | | GET | /api/calendar/next_trading_date | 下一交易日 | | GET | /api/meta/last_trade_date | 最近交易日 |
规程(规划)
- 输出日历结论(是/否交易日、时段)
- 用户规则(如「财报前一日减仓」)写在配置/对话,脚本只执行布尔检查并提示,不自动下单
- 可与 [portfolio-risk](../qmt-bridge-portfolio-risk/SKILL.md) 联动
安全
- 只读
参考
docs/rest-api.md
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: atorber
- Source: atorber/qmt-trading-skill
- License: MIT
- Homepage: https://atorber.github.io/qmt-trading-skill/
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.