Agent skill

Pricing Data Pipeline

by jqknono in jqknono/coding-plans-for-copilot

更新编码套餐与 OpenRouter 指标/套餐 JSON、修复抓取失败或 pending。Use when: pricing:fetch, metrics:fetch, openrouter:plans:fetch, provider-pricing.json, dashboard 数据过期或 CI 定价 issue。

MITAuto-check: notesData & Analytics

Install Pricing Data Pipeline

skills CLI
$ npx skills add jqknono/coding-plans-for-copilot --skill pricing-data-pipeline -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jqknono/coding-plans-for-copilot pricing-data-pipeline --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jqknono/coding-plans-for-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/pricing-data-pipeline .claude/skills/pricing-data-pipeline && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pricing-data-pipeline
GitHub stars
138
Token cost
~263 tokens
SKILL.md length
59 words
Files
1
Skills in repo
2
Repo updated
First seen
Licence
MIT

At a glance

更新编码套餐与 OpenRouter 指标/套餐 JSON、修复抓取失败或 pending。Use when: pricing:fetch, metrics:fetch, openrouter:plans:fetch, provider-pricing.json, dashboard 数据过期或 CI 定价 issue。

  • Works in 4 steps: 确认 .env 含 APIKEY(OpenRouter);可选变量见… → 按顺序执行(与 CI metrics 工作流一致) → npm run serve:page,浏览器检查表格与失败卡片。 → …
  • : pricing:fetch
  • SKILL.md covers 何时使用, 步骤, 原则 and 参考
  • Calls npm and node

What it does

Pricing Data Pipeline is an agent skill from jqknono/coding-plans-for-copilot. 更新编码套餐与 OpenRouter 指标/套餐 JSON、修复抓取失败或 pending。Use when: pricing:fetch, metrics:fetch, openrouter:plans:fetch, provider-pricing.json, dashboard 数据过期或 CI 定价 issue。

Its SKILL.md is about 260 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics, covering Model routing and gateways and Data pipelines and ETL. It works with OpenRouter, Anthropic API, OpenAI and Visual Studio Code. The repository describes itself as: 在Copilot Chat中自由接入OpenAI Chat/Response, Anthropic API兼容供应商. The licence is MIT.

When your agent uses it

  • : pricing:fetch
  • Openrouter:plans:fetch
  • Provider-pricing.json
  • Dashboard 数据过期或 CI 定价 issue

Example prompts

  • “/pricing-data-pipeline”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. 确认 .env 含 APIKEY(OpenRouter);可选变量见 scripts/fetch-openrouter-provider-metrics.js。
  2. 按顺序执行(与 CI metrics 工作流一致)
  3. npm run serve:page,浏览器检查表格与失败卡片。
  4. 改脚本后:node --test scripts/fetch-openrouter-provider-metrics.test.js tests/scripts/*.test.js,再 npm run test:pages。

What it can do on your machine

Read from SKILL.md and the folder at commit 27e0427. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npm
    • node

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pricing Data Pipeline loads about 263 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 59 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~263

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:15
    1. 确认 `.env` 含 `APIKEY`(OpenRouter);可选变量见 `scripts/fetch-openrouter-provider-metrics.js`。

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jqknono/coding-plans-for-copilot at commit 27e0427, republished under its MIT licence (© jqknono). 59 words, ~263 tokens.

Download SKILL.mdSave it as .claude/skills/pricing-data-pipeline/SKILL.md (or your agent's skills folder).
name
pricing-data-pipeline
description
更新编码套餐与 OpenRouter 指标/套餐 JSON、修复抓取失败或 pending。Use when: pricing:fetch, metrics:fetch, openrouter:plans:fetch, provider-pricing.json, dashboard 数据过期或 CI 定价 issue。
argument-hint
可选:供应商名、失败现象或要改的脚本

价格与指标数据流水线

何时使用

  • 用户要刷新看板数据、修抓取脚本、处理 failures/pending、或对齐 GitHub Actions(update-pricing.yml、update-openrouter-metrics.yml)。

步骤

  1. 确认 .env 含 APIKEY(OpenRouter);可选变量见 scripts/fetch-openrouter-provider-metrics.js。
  2. 按顺序执行(与 CI metrics 工作流一致):
    • npm run pricing:fetch
    • npm run metrics:fetch
    • npm run openrouter:plans:fetch
  3. npm run serve:page,浏览器检查表格与失败卡片。
  4. 改脚本后:node --test scripts/fetch-openrouter-provider-metrics.test.js tests/scripts/*.test.js,再 npm run test:pages。

原则

  • 通过抓取脚本更新 assets/*.json;动态页用 Playwright MCP(见 AGENTS.md)。
  • 调整 JSON 字段时,同步对照 pages/app.js 与 AGENTS.md「Script and Page Contracts / 契约」一节。

参考

  • 本地服务:scripts/serve-pricing-page.js
  • 页面逻辑:pages/app.js
  • 用实现与自动化测试表达行为预期。

© jqknono, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .github/skills/pricing-data-pipeline of jqknono/coding-plans-for-copilot.

Open the folder on GitHubat commit 27e0427

Compare with similar skills

Pricing Data Pipeline next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Using Ccproxy APIstarbaser/ccproxy350—~4kAutomated safety check: PassCustom licence
Page AgentTommy-yw/RunbookHermes5463 repos~2.3kAutomated safety check: NotesMIT
Google Image Searchglebis/claude-skills391—~1.4kAutomated safety check: NotesMIT

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Questions about Pricing Data Pipeline

What does Pricing Data Pipeline do?

更新编码套餐与 OpenRouter 指标/套餐 JSON、修复抓取失败或 pending。Use when: pricing:fetch, metrics:fetch, openrouter:plans:fetch, provider-pricing.json, dashboard 数据过期或 CI 定价 issue。. Pricing Data Pipeline is an agent skill from jqknono/coding-plans-for-copilot.

When should I use Pricing Data Pipeline?

Pricing Data Pipeline fits situations like: : pricing:fetch; openrouter:plans:fetch; provider-pricing.json; dashboard 数据过期或 CI 定价 issue.

How do I install Pricing Data Pipeline in Claude Code?

Run `npx skills add jqknono/coding-plans-for-copilot --skill pricing-data-pipeline -a claude-code`. Or copy the skill folder (.github/skills/pricing-data-pipeline in jqknono/coding-plans-for-copilot) into .claude/skills/pricing-data-pipeline in your project. Claude Code loads it when a task matches its description.

How do I install Pricing Data Pipeline in Codex?

Run `npx skills add jqknono/coding-plans-for-copilot --skill pricing-data-pipeline -a codex`. Or copy the skill folder (.github/skills/pricing-data-pipeline in jqknono/coding-plans-for-copilot) into .agents/skills/pricing-data-pipeline in your project. Codex loads it when a task matches its description.

Can I use Pricing Data Pipeline in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jqknono/coding-plans-for-copilot --skill pricing-data-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pricing-data-pipeline, .gemini/skills/pricing-data-pipeline, .github/skills/pricing-data-pipeline and .opencode/skills/pricing-data-pipeline in your project.

What does Pricing Data Pipeline need to run?

Going by SKILL.md and its folder, Pricing Data Pipeline needs the command-line tools its instructions call (npm and node).

Does Pricing Data Pipeline access the network?

SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Pricing Data Pipeline safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Pricing Data Pipeline use?

Pricing Data Pipeline is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pricing Data Pipeline use?

About 263 tokens (SKILL.md is roughly 1.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Pricing Data Pipeline?

Skills that share tags, products or a category with Pricing Data Pipeline: Darwinian Evolver (Luciole-Studio/Misaka-Agent, 171 stars), Using Ccproxy Inspector (starbaser/ccproxy, 350 stars), Using Ccproxy API (starbaser/ccproxy, 350 stars) and Page Agent (Tommy-yw/RunbookHermes, 546 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pricing Data Pipeline?

jqknono (a GitHub user) maintains it in jqknono/coding-plans-for-copilot, which has 138 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 9, 2026.

Source: jqknono/coding-plans-for-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.