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 agentmods add skills/mininglamp-oss/octo-server/claude-code-dmworknpx skills add Mininglamp-OSS/octo-server --skill claude-code-dmworkgit clone --depth 1 https://github.com/Mininglamp-OSS/octo-serverWrote 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/mininglamp-oss/octo-server/claude-code-dmwork)<a href="https://agentmods.dev/skills/mininglamp-oss/octo-server/claude-code-dmwork"><img src="https://agentmods.dev/badge/skills/mininglamp-oss/octo-server/claude-code-dmwork.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00465 |
| Opus 5 | $0.00000 | $0.00233 |
| Sonnet 5 | $0.00000 | $0.00093 |
| Haiku 4.5 | $0.00000 | $0.00047 |
Grade A, and why
claude-code-dmwork 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 6d 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.
What it actually says
DMWork Bot Skill
Connect to DMWork messaging platform as an AI bot via the OpenClaw DMWork adapter plugin.
Setup
1. Install the DMWork plugin
openclaw plugins install octo
2. Get a Bot Token
In DMWork, find BotFather in your contacts and send:
/newbot— create a new bot- Set bot name and username
- Copy the bot token (starts with
bf_)
3. Configure OpenClaw
Add to your openclaw.json:
{
"channels": {
"dmwork": {
"enabled": true,
"botToken": "bf_your_token_here",
"apiUrl": "http://your-dmwork-server:8090",
"wsUrl": "ws://your-dmwork-server:5200"
}
}
}
4. Restart OpenClaw
openclaw gateway restart
Your bot is now online and will:
- Private chat: respond to all messages
- Group chat: respond only when @mentioned (configurable)
Configuration Options
| Option | Default | Description |
|---|---|---|
botToken |
required | Bot token from BotFather |
apiUrl |
required | DMWork API URL |
wsUrl |
required | WuKongIM WebSocket URL |
requireMention |
true |
Group chat: only respond when @mentioned |
Features
- Real-time WebSocket connection (no polling needed)
- Mention gating for group chats
- History context: unmentioned messages are prepended when bot is @mentioned
- Multi-bot support: each bot token = one OpenClaw instance
Channel Types
- 1 = Direct Message (DM)
- 2 = Group Chat
Message Types (payload.type)
- 1 = Text
- 2 = Image
- 3 = GIF
- 4 = Voice
- 5 = Video
- 6 = Location
- 7 = Card
- 8 = File
What ships with it
1 file 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.
- 6d ago First seen · 76 lines · 0 tokens per session scan A 08b8818ad444
claude-code-dmwork is a skill published in the GitHub repository Mininglamp-OSS/octo-server (823 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 465 tokens. 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 2026-08-30.
Other skills, from other repositories
miro-workflow
Compose Miro boards from natural-language requests by combining tools from miro-mcp-server. Use when the user asks to set up a sprint board, retrospective, brainstorming session, user story map, kanban, or any structured Miro layout. Do NOT use for single-tool calls (create one sticky), questions about Miro the…
miro-boards
Create and manage Miro board content including stickies, shapes, connectors, diagrams, and mindmaps. Use for whiteboard collaboration, sprint planning, retrospectives, and brainstorming.
Microsoft Teams Automation
Automate Microsoft Teams messaging, meetings, channels, and workflow integrations.
slack-skill
Comprehensive Slack integration for messaging, channels, users, reactions, pins, and workspace management.
pilot-chat-collaboration-hub-setup
Deploy a chat and collaboration hub with 4 agents. Use this skill when: 1. User wants to set up a multi-agent chat platform 2. User is configuring a chat server, moderator, translator, or archive bot 3. User asks about group chat, threaded conversations, or message moderation Do NOT use this skill when: - User wants…
wukongim-cloud-analysis
Diagnose one exact live WuKongIM cloud Simulation Run or chat-lifecycle Cloud Lease through the repository Analysis MCP. Use when the user or a local Analysis Session asks Codex to inspect a run's cluster state, Prometheus signals, application logs, diagnostics, Controller task audits, profiles, or redacted config…