Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/atorber/qmt-trading-skillnpx agentmods add skills/atorber/qmt-trading-skill/qmt-bridge-execution-reviewWrote 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/atorber/qmt-trading-skill/qmt-bridge-execution-review)<a href="https://agentmods.dev/skills/atorber/qmt-trading-skill/qmt-bridge-execution-review"><img src="https://agentmods.dev/badge/skills/atorber/qmt-trading-skill/qmt-bridge-execution-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/atorber/qmt-trading-skill/qmt-bridge-execution-review"><img src="https://agentmods.dev/badge/skills/atorber/qmt-trading-skill/qmt-bridge-execution-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Privilege Escalation · line 36 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00145 | $0.02329 |
| Opus 5 | $0.00072 | $0.01164 |
| Sonnet 5 | $0.00029 | $0.00466 |
| Haiku 4.5 | $0.00015 | $0.00233 |
Grade A, and why
qmt-bridge-execution-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 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QMT Trading Skill · 交易复盘
实现状态：✅
daily_trade_report.py可用（见 ROADMAP.md）
目标
闭合「计划—执行—复盘」中的复盘环节：
- 汇总当日委托与成交，评估滑点与撤单
- 按标的汇总买卖量
- 当日操作评价：结合盈亏拆解与 交易观标准，归纳止盈/加仓/逆势、量能与戒律检查
- 不操作基线对比：估算「昨仓不动」盈亏，与实际操作对比得出操作增量（总评核心依据）
脚本
| 脚本 | 作用 |
|---|---|
scripts/daily_trade_report.py |
单账户：orders + trades + 操作评价；--json；--feishu-md → reports/feishu_daily_eval.md |
scripts/combined_trade_report.py |
全账户综合（推荐）：合并普通户+信用户持仓与成交，不区分账户；--feishu-md → reports/feishu_combined_daily_eval.md |
# 单账户
python skills/qmt-bridge-execution-review/scripts/daily_trade_report.py --host 127.0.0.1 --port 8080 --api-key KEY
python skills/qmt-bridge-execution-review/scripts/daily_trade_report.py --json --api-key KEY
python skills/qmt-bridge-execution-review/scripts/daily_trade_report.py --host 127.0.0.1 --port 8080 --api-key KEY --feishu-md
# 全账户综合（普通户 + 信用户，.env 配置双账户时）
python skills/qmt-bridge-execution-review/scripts/combined_trade_report.py --host 127.0.0.1 --port 8080 --api-key KEY
python skills/qmt-bridge-execution-review/scripts/combined_trade_report.py --host 127.0.0.1 --port 8080 --api-key KEY --feishu-md
python skills/qmt-bridge-execution-review/scripts/combined_trade_report.py --json --api-key KEY
| 参数 | 说明 |
|---|---|
--json |
JSON（含 operation_evaluation，每标的有 no_trade_pnl / op_alpha_pnl） |
--feishu-md [PATH] |
导出飞书 Markdown 全文（单账户默认 reports/feishu_daily_eval.md；综合默认 reports/feishu_combined_daily_eval.md） |
--no-trades |
跳过成交列表 |
--no-summary |
跳过按标的汇总 |
--no-eval |
不输出操作评价 |
--market-turnover-yi |
两市成交额（亿元）；未传时自动从 Bridge 指数 tick 拉取 |
--no-philosophy-fetch |
不拉近3日涨幅；仍会自动拉两市成交额与指数涨跌 |
提示词示例（可复制）
| 场景 | 提示词 |
|---|---|
| 复盘+评价（推荐） | 生成今日交易复盘并做当日操作评价 |
今日操作评估：得失、执行质量、明日纪律 |
|
| 全账户综合 | 普通户+信用户综合复盘 |
| 基线对比 | 列一下不操作少赚/多亏的明细 |
| 执行质量 | 汇总今天委托和成交，看看滑点和撤单 |
| 对照盈亏 | 结合当日盈亏评价今天买卖是否合理 |
主要 API
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.
- 11d ago First seen · 135 lines · 145 tokens per session scan A 52d1e5898846
qmt-bridge-execution-review is a skill published in the GitHub repository atorber/qmt-trading-skill (22 stars, last pushed 27d ago), licensed MIT. It adds 145 tokens to every session and 2,329 once invoked, about $0.0007 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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