Agent skill

Antinet Four Color Cards

by anbeime in anbeime/skill

财务和投资分析师、律师助理与法律助手在撰写金融研报或分析法律文档时,必用此技能!基于解析文档一键生成事实蓝卡、解释绿卡、风险黄卡与行动红卡。自动完成深度剖析与风险排查,产出100%可溯源的结构化四色报告,让复杂分析高效且严谨。

Apache-2.0Auto-check passed

Install Antinet Four Color Cards

skills CLI
$ npx skills add anbeime/skill --skill antinet-four-color-cards -a claude-code

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

GitHub CLI
$ gh skill install anbeime/skill antinet-four-color-cards --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/anbeime/skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/antinet-four-color-cards .claude/skills/antinet-four-color-cards && 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
antinet-four-color-cards
GitHub stars
7.8k
Token cost
~427 tokens
SKILL.md length
82 words
Files
3 (incl. scripts)
Skills in repo
62
Repo updated
First seen
Licence
Apache-2.0

At a glance

财务和投资分析师、律师助理与法律助手在撰写金融研报或分析法律文档时,必用此技能!基于解析文档一键生成事实蓝卡、解释绿卡、风险黄卡与行动红卡。自动完成深度剖析与风险排查,产出100%可溯源的结构化四色报告,让复杂分析高效且严谨。

  • SKILL.md covers 使用方式, 输入(Input), 输出(Output) and 依赖(Dependencies), plus 3 more sections
  • Runs Python scripts from its folder; calls python

What it does

Antinet Four Color Cards is an agent skill from anbeime/skill. 财务和投资分析师、律师助理与法律助手在撰写金融研报或分析法律文档时,必用此技能!基于解析文档一键生成事实蓝卡、解释绿卡、风险黄卡与行动红卡。自动完成深度剖析与风险排查,产出100%可溯源的结构化四色报告,让复杂分析高效且严谨。

Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/run_four_color_cards.py`).

It works with Python. The repository describes itself as: 收录最全、更新最快的技能Skills商店:精选原创技能包(涵盖文档处理、内容创作、编程开发、机器学习、自动化工作流),全部打包好可直接安装使用!同时自动抓取GitHub上万个Skills项目,按分类、更新时间、Star数量整理。The most comprehensive and frequently updated AI Agent skill… The licence is Apache-2.0.

Example prompts

  • “/antinet-four-color-cards”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit db1e192. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

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

  • Network

    No URLs in SKILL.md.

    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

Antinet Four Color Cards loads about 427 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 82 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~427

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 passed

The automated check found no risky patterns in SKILL.md.

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); the scripts in this folder are not scanned.

SKILL.md

The full file from anbeime/skill at commit db1e192, republished under its Apache-2.0 licence (© anbeime). 82 words, ~427 tokens.

Download SKILL.mdSave it as .claude/skills/antinet-four-color-cards/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
antinet-four-color-cards
description
财务和投资分析师、律师助理与法律助手在撰写金融研报或分析法律文档时,必用此技能!基于解析文档一键生成事实蓝卡、解释绿卡、风险黄卡与行动红卡。自动完成深度剖析与风险排查,产出100%可溯源的结构化四色报告,让复杂分析高效且严谨。
assign_when
该 Worker 负责把结构化文档转化为可审计的事实-解释-风险-行动卡片,并需与监察院(过度声明检测)和丞相府(行动建议)协同。

四色卡片生成 Skill(通政司 + 监察院 + 丞相府)

使用方式

  • 由通政司 Worker 主调用,生成蓝卡(事实)/ 绿卡(解释)。
  • 黄卡(风险)交由监察院复核过度声明;红卡(行动)交由丞相府补全策略建议。
  • 四卡片统一经太史阁留痕,保证每张卡片可溯源。

输入(Input)

  • markdown:密卷房解析产出的结构化文档
  • intent:用户意图 / 查询目标
  • llm_available:LLM 是否可用(影响黄卡生成路径)

输出(Output)

  • blue_card:事实卡——可溯源的陈述,附来源片段
  • green_card:解释卡——对事实的机制/背景说明
  • yellow_card:风险卡——过度声明、不确定性与潜在偏差(经监察院复核)
  • red_card:行动卡——下一步建议(经丞相府补全)

依赖(Dependencies)

  • LLM API(生成蓝/绿/红卡)
  • 过度声明检测规则集(监察院提供,用于黄卡)
  • 解析置信度(来自 doc-parse,低置信度触发人工复核标记)

失败处理(Failure Handling)

  • LLM 不可用 → 降级到规则引擎生成卡片,黄卡/红卡显式标注「未启用 LLM」。
  • 监察院复核超时 → 黄卡暂以规则引擎结果交付,并标记 pending_review。
  • 来源缺失 → 对应事实在蓝卡中标注「无来源」,不直接生成断言。

复用价值(Reuse Value)

  • 方法论通用:科研分析、金融研报、法律文档分析均可套用四色卡片框架。
  • 可审计性强:每张卡片带来源与生成方式,天然契合 Agent Infra 的可观测/审计评审维度。

复赛代码包执行(runnable package)

  • 真实入口:scripts/run_four_color_cards.py --stage {extract|review|propose}
  • 三个子任务映射:
    • extract → 通政司 comm.tongzhengsi.TongZhengSiAgent(蓝卡:事实抽取)
    • review → 监察院 audit.jichayuan.JianChaYuanAgent(绿卡:Gap/解释)
    • propose → 丞相府 strategy.chengxiangfu.ChengXiangFuAgent(红卡:行动建议)
  • 运行示例:
    • python skills/four-color-cards/scripts/run_four_color_cards.py --stage extract
    • python skills/four-color-cards/scripts/run_four_color_cards.py --stage review
    • python skills/four-color-cards/scripts/run_four_color_cards.py --stage propose
  • 产物:examples/snse_survey/skill_outputs/four_color_<stage>.json
  • 溯源铁律:绿卡 cite 蓝卡、红卡 cite 绿卡/蓝卡,无来源不得入库(由 card_model 强制)。

© anbeime, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in skills/antinet-four-color-cards of anbeime/skill.

  • SKILL.md
  • LICENSE
  • scripts/run_four_color_cards.py

Open the folder on GitHubat commit db1e192

Compare with similar skills

Antinet Four Color Cards 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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Works with

Questions about Antinet Four Color Cards

What does Antinet Four Color Cards do?

财务和投资分析师、律师助理与法律助手在撰写金融研报或分析法律文档时,必用此技能!基于解析文档一键生成事实蓝卡、解释绿卡、风险黄卡与行动红卡。自动完成深度剖析与风险排查,产出100%可溯源的结构化四色报告,让复杂分析高效且严谨。. Antinet Four Color Cards is an agent skill from anbeime/skill.

How do I install Antinet Four Color Cards in Claude Code?

Run `npx skills add anbeime/skill --skill antinet-four-color-cards -a claude-code`. Or copy the skill folder (skills/antinet-four-color-cards in anbeime/skill) into .claude/skills/antinet-four-color-cards in your project. Claude Code loads it when a task matches its description.

How do I install Antinet Four Color Cards in Codex?

Run `npx skills add anbeime/skill --skill antinet-four-color-cards -a codex`. Or copy the skill folder (skills/antinet-four-color-cards in anbeime/skill) into .agents/skills/antinet-four-color-cards in your project. Codex loads it when a task matches its description.

Can I use Antinet Four Color Cards 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 anbeime/skill --skill antinet-four-color-cards -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/antinet-four-color-cards, .gemini/skills/antinet-four-color-cards, .github/skills/antinet-four-color-cards and .opencode/skills/antinet-four-color-cards in your project.

What does Antinet Four Color Cards need to run?

Going by SKILL.md and its folder, Antinet Four Color Cards needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Antinet Four Color Cards access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Antinet Four Color Cards safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Antinet Four Color Cards use?

Antinet Four Color Cards is published under the Apache-2.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Antinet Four Color Cards use?

About 427 tokens (SKILL.md is roughly 1.7k 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 Antinet Four Color Cards?

Skills that share tags, products or a category with Antinet Four Color Cards: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Antinet Four Color Cards?

anbeime (a GitHub user) maintains it in anbeime/skill, which has 7,760 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on October 9, 2026.

Source: anbeime/skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.