Borrowing it
Nothing to install: this file belongs to Dangooy/trade-pipeline-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Dangooy/trade-pipeline-skill/main/.claude/skills/trade-pipeline-run/SKILL.mdgit clone --depth 1 https://github.com/Dangooy/trade-pipeline-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/dangooy/trade-pipeline-skill/trade-pipeline-run)<a href="https://agentmods.dev/skills/dangooy/trade-pipeline-skill/trade-pipeline-run"><img src="https://agentmods.dev/badge/skills/dangooy/trade-pipeline-skill/trade-pipeline-run/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/dangooy/trade-pipeline-skill/trade-pipeline-run"><img src="https://agentmods.dev/badge/skills/dangooy/trade-pipeline-skill/trade-pipeline-run.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00027 | $0.01539 |
| Opus 5 | $0.00014 | $0.00770 |
| Sonnet 5 | $0.00005 | $0.00308 |
| Haiku 4.5 | $0.00003 | $0.00154 |
Grade A, and why
trade-pipeline-run 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.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trade Pipeline Run — Execute the Document Pipeline
Trigger
When the user says: 处理询价单, 生成报价单, 做报价, 做PI, 做CI, 做PL, 跑管线, run pipeline, generate quotation, process inquiry, 处理这个Excel, 帮我出单
Prerequisites
Before running, verify in order:
-
Current directory: must contain
trade_pipeline/directory. If not,cdto the repo root. -
Installation check: run
trade-pipeline --help. If that command is not found, trypython -m trade_pipeline --help, thenpython3 -m trade_pipeline --help(Mac / Linux have no barepython). If all fail, prompt:管线未安装。请在项目根目录(含 pyproject.toml)先建虚拟环境再安装: Mac / Linux: python3 -m venv .venv && source .venv/bin/activate Windows PowerShell: py -m venv .venv; .\.venv\Scripts\Activate.ps1 pip install -e . (不能跳过虚拟环境:Homebrew 和多数 Linux 发行版的系统 Python 受 PEP 668 保护, 直接 pip install 会报 externally-managed-environment。) -
Config check: Read
trade_pipeline/config/config.yaml.- If seller
name_encontains "ACME EXPORT" or buyer email contains ".example.com" → inform user: "当前使用示例配置,可以跑 demo 体验。真实业务请先说"初始化配置"运行 init skill。" - Continue regardless (demo mode is fine).
- If seller
Flow 1: Pipeline Execution
Step 1: Collect Input
Use AskUserQuestion to ask:
Question 1 — 询价单路径:
- If user already provided a file path in their message, use it directly
- Otherwise ask: "询价单 Excel 文件路径?"
- Verify the file exists with Read tool
Question 2 — 订单号:
- Ask: "订单号?(用于命名输出文件)"
- Options can include suggestions like DEMO, or user types custom
Question 3 — 选择客户:
- Read
trade_pipeline/config/config.yaml, extract buyer keys and name_en - Use AskUserQuestion with options:
- Each configured buyer:
buyer_id — name_en _new — 新客户(buyer 信息填 TBD)- "Other" for manual input
- Each configured buyer:
- Maximum 4 options (AskUserQuestion limit), prioritize most recently used
Step 2: Execute
Run via Bash:
trade-pipeline --input <path> --order <order_no> --buyer <buyer_id>
If trade-pipeline command not found, fallback to:
python -m trade_pipeline --input <path> --order <order_no> --buyer <buyer_id>
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 · 146 lines · 27 tokens per session scan A 338bd6940a15
trade-pipeline-run is a skill published in the GitHub repository Dangooy/trade-pipeline-skill (25 stars, last pushed 8d ago), licensed MIT. It adds 27 tokens to every session and 1,539 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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