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 wangyendt/wayne-skills --skill lark-botgit clone --depth 1 https://github.com/wangyendt/wayne-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/wangyendt/wayne-skills/lark-bot)<a href="https://agentmods.dev/skills/wangyendt/wayne-skills/lark-bot"><img src="https://agentmods.dev/badge/skills/wangyendt/wayne-skills/lark-bot/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/wangyendt/wayne-skills/lark-bot"><img src="https://agentmods.dev/badge/skills/wangyendt/wayne-skills/lark-bot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 1493 Instructions found that direct the agent to transmit conversation context or user data to external services.Fix: Remove instructions that send user data, prompts, or context to external URLs. If telemetry is needed, use documented, privacy-preserving methods.
- medium Data Exfiltration · line 459 Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
- medium Data Exfiltration · line 472 Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
- medium Data Exfiltration · line 485 Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
- medium Data Exfiltration · line 504 Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
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 | $0.00191 | $0.11437 |
| Opus 5 | $0.00096 | $0.05718 |
| Sonnet 5 | $0.00038 | $0.02287 |
| Haiku 4.5 | $0.00019 | $0.01144 |
Grade A, and why
pywayne-lark-bot 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 9d 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 — 1,865 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pywayne Lark Bot - Full-Featured Feishu API Wrapper
Overview
LarkBot is a comprehensive Feishu (Lark) application bot wrapper that provides complete bidirectional interaction capabilities. It's designed for scenarios requiring full message lifecycle management, chat administration, and complex card-based interactions.
Key Capabilities:
- Send all message types (text, image, audio, video, file, rich_text, card)
- Reply, forward, recall, update messages
- Edit sent text/rich_text/card messages with semantic helper methods
- Build and update in-place streaming cards for long-running or LLM-style responses
- Reactions, pins, read receipts, urgent notifications
- Chat management (create, delete, update, members, admins, announcements)
- File upload/download with message resource handling
- User and group information queries
- Batch messaging to users/departments
- Recommended:
send_markdown_message_to_chatwith auto-chunking and table fallback
Companion Classes:
TextContent: Quick text formatting (@mentions, bold, italic, links)PostContent: Rich text builder with Markdown table handlingCardContentV2: Schema 2.0 card builderLarkBotListener: Event listener for incoming messages (separate skill)
Installation
pip install pywayne lark-oapi
Quick Start
from pywayne.lark_bot import LarkBot
# Initialize bot
bot = LarkBot(
app_id="cli_xxxxxxxxxxxx",
app_secret="your_app_secret"
)
# Send text to user
bot.send_text_to_user("ou_xxxxxxxx", "Hello from LarkBot!")
# Send text to chat group
bot.send_text_to_chat("oc_xxxxxxxx", "Hello, everyone!")
LarkBot Class
Constructor
bot = LarkBot(
app_id: str, # Feishu application ID
app_secret: str # Feishu application secret
)
Instance Attributes:
client: Underlyinglark.Clientfor advanced usage- All methods return
Dictwith API response data
Helper Classes
TextContent - Quick Text Formatting
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.
- 9d ago First seen · 1,865 lines · 191 tokens per session scan A ce33a9a312fb
pywayne-lark-bot is a skill published in the GitHub repository wangyendt/wayne-skills (8 stars, last pushed 12d ago), licensed MIT. It adds 191 tokens to every session and 11,437 once invoked, about $0.0010 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 2026-08-31.
Other skills, from other repositories
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
agui-dotnet-protobuf
Use the protobuf wire transport (instead of the default Server-Sent Events) for an AG-UI connection with the AG-UI .NET SDK — a compact binary event stream negotiated via the Accept header. USE FOR: making an AGUIChatClient prefer protobuf by wiring an AGUIEventStreamHandler with ProtobufEventStreamFormatter (then…
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".
fastapi-router-py
Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models. Use when building REST API endpoints, creating new routes, implementing CRUD operations, or adding authenticated endpoints in FastAPI applications.
migrate-segw-to-rap
Reverse-engineer a SEGW-built OData V2 service (MPC/DPC/MPCEXT/DPCEXT) into a modern RAP V4 service — tables, CDS views (interface + projection), behavior definitions, draft entities, service definition + binding. Use when asked to "migrate this SEGW service to RAP", "convert OData V2 to V4 RAP", "modernize this…
telnyx-messaging-hosted-curl
Set up hosted SMS numbers, toll-free verification, and RCS messaging. Use when migrating numbers or enabling rich messaging features. This skill provides REST API (curl) examples.