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 TheophilusChinomona/claude-openclaw-plugin --skill openclaw-agent-plannergit clone --depth 1 https://github.com/TheophilusChinomona/claude-openclaw-pluginWrote 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/theophiluschinomona/claude-openclaw-plugin/openclaw-agent-planner)<a href="https://agentmods.dev/skills/theophiluschinomona/claude-openclaw-plugin/openclaw-agent-planner"><img src="https://agentmods.dev/badge/skills/theophiluschinomona/claude-openclaw-plugin/openclaw-agent-planner/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/theophiluschinomona/claude-openclaw-plugin/openclaw-agent-planner"><img src="https://agentmods.dev/badge/skills/theophiluschinomona/claude-openclaw-plugin/openclaw-agent-planner.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 | $0.00171 | $0.03595 |
| Opus 5 | $0.00086 | $0.01798 |
| Sonnet 5 | $0.00034 | $0.00719 |
| Haiku 4.5 | $0.00017 | $0.00360 |
Grade B, and why
openclaw-agent-planner scanned grade B 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 11d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
[chmod 444 on identity files, git backup, etc.] How it starts
The opening of the file, as written. The whole thing — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenClaw Agent Planner
Brainstorm, design, and fully document OpenClaw agents — from a single personal assistant to a coordinated multi-agent team.
Why This Skill Exists
Most people start with one agent and eventually realize they need several — a personal assistant, a DevOps bot, a research agent, a sales development agent, etc. The hard part isn't installing them; it's deciding what each one does, what it's allowed to do, and how they interact. This skill walks through that design process and produces real documentation at the end.
Workflow Overview
The skill runs in three stages:
Stage 1: Discovery → Understand the user's world (roles, tools, workflows, pain points)
Stage 2: Design → Brainstorm agents, define capabilities, draw boundaries
Stage 3: Document → Produce comprehensive Agent Team Documentation
Each stage is interactive — ask questions, listen, synthesize, confirm, iterate.
Stage 1: Discovery — Understanding the User's World
Before proposing any agents, understand the landscape. Ask questions across these dimensions:
1.1 Role & Context
- What do you do? (job title, industry, daily responsibilities)
- What teams or people do you work with?
- What's your tech stack and tooling? (platforms, services, communication channels)
- What recurring workflows eat your time?
1.2 Pain Points & Automation Appetite
- What tasks do you wish someone else would handle?
- What falls through the cracks regularly?
- Where do you lose time to context-switching?
- What would you trust an AI agent to do unsupervised? What would you NOT trust it with?
1.3 Existing Setup
- Do you already have any OpenClaw agents running? If so, what do they do?
- What channels are you using? (WhatsApp, Telegram, Discord, iMessage, web)
- What tools/MCP servers do you have access to? (calendar, email, web search, file systems, APIs)
- Any existing automation (cron jobs, scripts, Zapier, n8n)?
1.4 Constraints
- Budget sensitivity? (model costs — Claude Opus vs Sonnet vs Haiku for different agents)
- Security requirements? (data handling, credential access, network boundaries)
- Uptime needs? (always-on vs on-demand)
- Who else will interact with these agents? (just you, your team, clients, public?)
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.
- 11d ago First seen · 386 lines · 171 tokens per session scan B 57e5226f6edb
openclaw-agent-planner is a skill published in the GitHub repository TheophilusChinomona/claude-openclaw-plugin (2 stars, last pushed 5mo ago), licensed MIT. It adds 171 tokens to every session and 3,595 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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