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/irangareddy/openclaw-essentials/openclaw-agent-buildernpx skills add irangareddy/openclaw-essentials --skill openclaw-agent-buildergit clone --depth 1 https://github.com/irangareddy/openclaw-essentialsWrote 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/irangareddy/openclaw-essentials/openclaw-agent-builder)<a href="https://agentmods.dev/skills/irangareddy/openclaw-essentials/openclaw-agent-builder"><img src="https://agentmods.dev/badge/skills/irangareddy/openclaw-essentials/openclaw-agent-builder.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 | $0.00021 | $0.02162 |
| Opus 5 | $0.00010 | $0.01081 |
| Sonnet 5 | $0.00004 | $0.00432 |
| Haiku 4.5 | $0.00002 | $0.00216 |
Grade A, and why
openclaw-agent-builder 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 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.
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 — 403 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenClaw Agent Builder
Create specialized openclaw agents with complete workspace structure, identity files, and skills.
When to Use
When building a new openclaw agent for a specific purpose:
- Domain-specific agents (Android dev, SEO, content writing, etc.)
- Multi-agent routing scenarios
- Isolated agent personalities
- Workspace-based AI assistants
Core Concepts
OpenClaw Agent Structure
Each agent = isolated brain with:
- Workspace: Files (AGENTS.md, SOUL.md, USER.md, IDENTITY.md, TOOLS.md, etc.)
- State dir:
~/.openclaw/agents/<agentId>/agent(auth, config) - Sessions:
~/.openclaw/agents/<agentId>/sessions(chat history)
Workspace Files
Required:
AGENTS.md- Operating instructions, memory management, behavior rulesSOUL.md- Persona, tone, communication styleUSER.md- User context and how to address themIDENTITY.md- Agent name, emoji, role, missionTOOLS.md- Tool notes and conventions
Optional:
HEARTBEAT.md- Heartbeat checklist (keep short)BOOT.md- Startup checklist when gateway restartsmemory/- Daily memory logs (YYYY-MM-DD.md)MEMORY.md- Curated long-term memoryskills/- Workspace-specific skills
Agent Builder Workflow
1. Ask Questions First
Before building, clarify:
- Agent purpose: What problem does this agent solve?
- Domain expertise: What specialized knowledge needed?
- Communication style: Professional? Casual? Technical?
- Tools/integrations: APIs, databases, external systems?
- Skills needed: Custom capabilities or workflows?
2. Create Workspace Structure
# Create agent workspace
mkdir -p ~/.openclaw/workspace-<agent-name>
cd ~/.openclaw/workspace-<agent-name>
# Initialize git (recommended)
git init
3. Build Core Files
IDENTITY.md - Who the agent is:
# IDENTITY.md
## Name
[Agent Name]
## Emoji
[1-2 relevant emojis]
## Role
[Short role description - e.g., "Android spec writer", "SEO optimizer"]
## Mission
[Concise mission statement - what the agent does and why]
What ships with it
4 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.
- 4d ago First seen · 403 lines · 21 tokens per session scan A ac9d47762060
openclaw-agent-builder is a skill published in the GitHub repository irangareddy/openclaw-essentials (0 stars, last pushed 6mo ago), licensed MIT. It adds 21 tokens to every session and 2,162 once invoked, about $0.0001 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
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…