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 atorber/qmt-trading-skill --skill qmt-bridge-feishu-docgit clone --depth 1 https://github.com/atorber/qmt-trading-skillWrote 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-feishu-doc)<a href="https://agentmods.dev/skills/atorber/qmt-trading-skill/qmt-bridge-feishu-doc"><img src="https://agentmods.dev/badge/skills/atorber/qmt-trading-skill/qmt-bridge-feishu-doc/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-feishu-doc"><img src="https://agentmods.dev/badge/skills/atorber/qmt-trading-skill/qmt-bridge-feishu-doc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
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 →
- medium MCP Rug Pull · line 24 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 25 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00094 | $0.01257 |
| Opus 5 | $0.00047 | $0.00629 |
| Sonnet 5 | $0.00019 | $0.00251 |
| Haiku 4.5 | $0.00009 | $0.00126 |
Grade A, and why
qmt-bridge-feishu-doc 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QMT Trading Skill · 飞书云文档
实现状态：规程 + doc-registry.md；IO 走 lark-cli 官方 CLI
目标
- 先由对应 QMT Skill 生成报告（复盘、盈亏等）
- 当日复盘：
daily_trade_report.py --feishu-md导出reports/feishu_daily_eval.md（禁止 Agent 手写摘要） - 用 lark-doc / lark-drive（
lark-cli docs +update等）写入飞书
lark-cli 首次使用（Agent）
完整步骤见 references/lark-cli-setup.md，摘要：
npx @larksuite/cli@latest install
npx skills add larksuite/cli -y -g
lark-cli config init --new # 链接发给用户浏览器配置
lark-cli auth login --recommend
lark-cli auth status
执行飞书写操作前 MUST 读 lark-shared；改 docx 读 lark-doc（--api-version v2）；改列表标题 / 文件夹读 lark-drive。
不要使用本仓库 scripts/ 下已移除的飞书 Python 脚本；不要在本目录维护上传脚本。
云空间目录
QMT Trading Skill/
├── 每日复盘/ ← daily-eval
├── 盈亏快照/ ← daily-pnl
├── 涨跌分析/ ← return-analysis
└── 组合风控/ ← portfolio-risk
文件夹 token → .env（见 doc-registry）。
报告类型
| type | 子目录 | 先执行的 QMT Skill | 本地 Markdown |
|---|---|---|---|
| daily-eval | 每日复盘 | execution-review | reports/feishu_daily_eval.md |
| daily-pnl | 盈亏快照 | daily-pnl | reports/feishu_daily_pnl.md |
| return-analysis | 涨跌分析 | return-analysis | reports/feishu_return_analysis.md |
| portfolio-risk | 组合风控 | portfolio-risk | reports/feishu_portfolio_risk.md |
doc token：reports/feishu_doc_ids.json 或 FEISHU_*_DOC_ID。
工作流：当日复盘
详见 references/workflows/daily-eval-sync.md。同步前必须先跑 --feishu-md。
放置位置
| 情况 | 行为 |
|---|---|
| 用户未指定父文档 | wiki +node-create --as user --title "..."（不传 --parent-node-token）→ 个人知识库根 |
| 用户给出 wiki 父页面 URL/token | 加 --parent-node-token <TOKEN> 建子文档 |
| 用户要求云空间子目录 | docs +create --folder-token ... |
| 覆盖已有 doc | docs +update --doc DOC_TOKEN ... |
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 · 100 lines · 94 tokens per session scan A 6e527ec65b61
qmt-bridge-feishu-doc is a skill published in the GitHub repository atorber/qmt-trading-skill (22 stars, last pushed 28d ago), licensed MIT. It adds 94 tokens to every session and 1,257 once invoked, about $0.0005 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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