Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/skillmds/skillmdnpx agentmods add skills/skillmds/skillmd/warden-agent-builderWrote 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/skillmds/skillmd/warden-agent-builder)<a href="https://agentmods.dev/skills/skillmds/skillmd/warden-agent-builder"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/warden-agent-builder/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/skillmds/skillmd/warden-agent-builder"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/warden-agent-builder.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 | $0.00106 | $0.04108 |
| Opus 5.5 | $0.00042 | $0.01643 |
| Sonnet 5 | $0.00021 | $0.00822 |
| Haiku 4.5 | $0.00011 | $0.00411 |
Grade A, and why
warden-agent-builder scanned grade A with 1 finding 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 4d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST http://localhost:8000/invoke \ How it starts
The opening of the file, as written. The whole thing — 565 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Warden Agent Builder
Build and deploy LangGraph agents for Warden Protocol's Agentic Wallet ecosystem.
⚠️ IMPORTANT: About Example Agents
The Warden community repository contains example agents for learning, not templates to recreate:
- Weather Agent - Study this to learn simple data fetching patterns
- CoinGecko Agent - Study this to learn Schema-Guided Reasoning (SGR)
- Portfolio Agent - Study this to learn complex multi-source integration
DO NOT BUILD THESE AGENTS - they already exist. Instead:
- Study their code to understand patterns
- Learn from their architecture and workflows
- Build something NEW and original for the incentive programme
Your agent must be unique and solve a different problem to be eligible for the incentive programme.
Overview
Warden Protocol is an "Agentic Wallet for the Do-It-For-Me economy" with an active Agent Builder Incentive Programme open to OpenClaw agents that deploy to Warden. All agents must be LangGraph-based and API-accessible.
Key Resources:
- Community Agents Repository: https://github.com/warden-protocol/community-agents
- Documentation: https://docs.wardenprotocol.org
- Discord: #developers channel for support
Requirements Checklist
Before building, ensure your agent meets these mandatory requirements:
✓ Framework: Built with LangGraph (TypeScript or Python) ✓ Deployment: LangSmith Deployments OR custom infrastructure ✓ Access: API-accessible (no UI required - Warden provides UI) ✓ Isolation: One agent per LangGraph instance ✓ Security Limitations (Phase 1):
- Cannot access user wallets
- Cannot store data on Warden infrastructure
✓ Functionality: Can implement any workflow:
- Web3/Web2 automation
- API integrations
- Database connections
- External tool interactions
Understanding the Example Agents
The community-agents repository contains reference examples to learn from, NOT templates to recreate:
Example Agent 1: LangGraph Quick Start (Study for Basics)
Location: agents/langgraph-quick-start (TypeScript) or agents/langgraph-quick-start-py (Python)
Learn: LangGraph fundamentals, minimal agent structure
Study: Single-node chatbot with OpenAI integration
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.
- 4d ago First seen · 565 lines · 106 tokens per session scan A 0fe7f9a3a8cb
warden-agent-builder is a skill published in the GitHub repository skillmds/skillmd (1 stars, last pushed yesterday), licensed MIT. It adds 106 tokens to every session and 4,108 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-19.
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