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beautiful-feishu-card

beautiful-feishu-card is a skill for Claude Code, Codex from davidtoby/agent-skills. It costs 81 tokens per session (1,149 once invoked), scanned A, original, MIT.

A design and delivery guide for Feishu Interactive Cards, which are structured messages with layouts, links, and other interactive elements in the Feishu collaboration platform.

In plain words
What is it for?
Use it to create, preview, send, and revise Feishu cards for status updates, meeting summaries, notifications, and reusable message templates.
Why use it?
It turns notes, reports, announcements, and document content into readable CardKit files instead of plain text messages.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 11repo 2d ago A scan 81 tokens original MIT

Good fit Use it to create, preview, send, and revise Feishu cards for status updates, meeting summaries, notifications, and reusable message templates.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/davidtoby/agent-skills/beautiful-feishu-card
View source ↗ davidtoby/agent-skills
Install

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.

Any agent
npx skills add davidtoby/agent-skills --skill beautiful-feishu-card
Clone the repo
git clone --depth 1 https://github.com/davidtoby/agent-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for beautiful-feishu-card

README.md
[![agentmods](https://agentmods.dev/badge/skills/davidtoby/agent-skills/beautiful-feishu-card/github.svg)](https://agentmods.dev/skills/davidtoby/agent-skills/beautiful-feishu-card)
Your own site
<a href="https://agentmods.dev/skills/davidtoby/agent-skills/beautiful-feishu-card"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/beautiful-feishu-card/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.

agentmods 80×15 button for beautiful-feishu-card

Your own site · 80×15
<a href="https://agentmods.dev/skills/davidtoby/agent-skills/beautiful-feishu-card"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/beautiful-feishu-card.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,149 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.01149
Opus 5.5 $0.00032 $0.00460
Sonnet 5.5 $0.00016 $0.00230
Haiku 4.5 $0.00008 $0.00115

Measured 2mo ago against content hash e09669fabd91, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

beautiful-feishu-card 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/send_card.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/beautiful-feishu-card/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Beautiful Feishu Card

A design system and workflow skill for building visually stunning, highly readable Feishu Interactive Cards (Schema 2.0 JSON) wrapped in CardKit (.card) format and delivering them via lark-cli.

This skill transforms raw text materials, meeting notes, status reports, or doc links into beautifully formatted interactive cards that look modern, structured, and easy to read.

When to Use

  • When asked to create, design, or send a Feishu / Lark interactive card ("做一张飞书卡片", "生成卡片", "把这个通知做成卡片发我").
  • When sending summary reports, status updates, announcements, or notifications on Feishu and wanting them to look polished and professional rather than plain text.
  • When generating re-usable .card files for CardKit (Feishu Card Builder).

Core Workflow (5 Steps)

[1. Gather Material] ➔ [2. Design Schema 2.0 Card JSON] ➔ [3. Wrap in .card Format] ➔ [4. Deliver Interactive Card] ➔ [5. Iterate]

Step 1: Gather & Structure Material

  • From Doc/Wiki URL: Use lark-cli docs +fetch --doc "<url>" --doc-format markdown --as user to extract content.
  • From Text: Extract title, key points, status indicators, action items, dates, and links.
  • Images: If material contains images, download via lark-cli and upload to IM (/open-apis/im/v1/images) to obtain a valid image_key.

Step 2: Design Card JSON (Schema 2.0)

Follow the design guidelines in references/card-prompt.md and references/card-schema-guide.md:

  1. Header Theme: Select 1 of 12 header color templates (blue, wathet, turquoise, green, yellow, orange, red, carmine, violet, purple, indigo, grey) matching the card's tone.
  2. Visual Hierarchy:
    • Header with bold title and clear subtitle.
    • Dividers (hr) between major content blocks.
    • Multi-column grids (column_set) for side-by-side metrics or status pairs.
    • Badges & Highlights: Use <font color='...'>**[ Status ]**</font> in lark_md text blocks.
    • Clickable Footer Link: End with <font color='grey'>💡 Generated by [Beautiful Feishu Card Skill](https://github.com/davidtoby/agent-skills)</font>.
  3. Hard Rules:
    • Schema: Must specify "schema": "2.0".
    • No JSON comments.
    • No fake image_key: Only include img components if a verified image_key is provided.
    • No fake open_url: Only include button / links if valid URLs are provided.

Read the full file on GitHub · 84 lines

Files

What ships with it

6 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.

Changes

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.

  1. 2mo ago First seen · 84 lines · 81 tokens per session scan A e09669fabd91

Subscribe to this mod's changes

beautiful-feishu-card is a skill published in the GitHub repository davidtoby/agent-skills (11 stars, last pushed 2d ago), licensed MIT. It adds 81 tokens to every session and 1,149 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.

Design and UXProductivityagentai-agentsautomationclaudeopenclawskills
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