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 davidtoby/agent-skills --skill beautiful-feishu-cardgit clone --depth 1 https://github.com/davidtoby/agent-skillsWrote 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/davidtoby/agent-skills/beautiful-feishu-card)<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.
<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>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 | $0.00081 | $0.01149 |
| Opus 5 | $0.00041 | $0.00575 |
| Sonnet 5 | $0.00016 | $0.00230 |
| Haiku 4.5 | $0.00008 | $0.00115 |
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 8d 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 — 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
.cardfiles 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 userto extract content. - From Text: Extract title, key points, status indicators, action items, dates, and links.
- Images: If material contains images, download via
lark-cliand upload to IM (/open-apis/im/v1/images) to obtain a validimage_key.
Step 2: Design Card JSON (Schema 2.0)
Follow the design guidelines in references/card-prompt.md and references/card-schema-guide.md:
- 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. - 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>inlark_mdtext blocks. - Clickable Footer Link: End with
<font color='grey'>💡 Generated by [Beautiful Feishu Card Skill](https://github.com/davidtoby/agent-skills)</font>.
- Hard Rules:
- Schema: Must specify
"schema": "2.0". - No JSON comments.
- No fake
image_key: Only includeimgcomponents if a verifiedimage_keyis provided. - No fake
open_url: Only includebutton/ links if valid URLs are provided.
- Schema: Must specify
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.
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.
- 8d ago First seen · 84 lines · 81 tokens per session scan A e09669fabd91
beautiful-feishu-card is a skill published in the GitHub repository davidtoby/agent-skills (10 stars, last pushed 1mo ago), licensed MIT. It adds 81 tokens to every session and 1,149 once invoked, about $0.0004 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 2026-09-03.
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