OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.
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 LeoYeAI/openclaw-master-skills --skill agent-teams-simplify-and-hardengit clone --depth 1 https://github.com/LeoYeAI/openclaw-master-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/leoyeai/openclaw-master-skills/agent-teams-simplify-and-harden)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-teams-simplify-and-harden"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-teams-simplify-and-harden/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/leoyeai/openclaw-master-skills/agent-teams-simplify-and-harden"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-teams-simplify-and-harden.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium MCP Rug Pull · line 11 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00115 | $0.04686 |
| Opus 5 | $0.00057 | $0.02343 |
| Sonnet 5 | $0.00023 | $0.00937 |
| Haiku 4.5 | $0.00012 | $0.00469 |
Grade A, and why
agent-teams-simplify-and-harden 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 — 477 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Teams Simplify & Harden
Install
npx skills add pskoett/pskoett-ai-skills/agent-teams-simplify-and-harden
A two-phase team loop that produces production-quality code: implement, then audit using simplify + harden passes, then fix audit findings, then re-audit, repeating until the codebase is solid or the loop cap is reached.
When to Use
- Implementing multiple features from a spec or plan
- Hardening a codebase after a batch of changes
- Fixing a list of issues or gaps identified in a review
- Any task touching 5+ files where quality gates matter
The Pattern
┌──────────────────────────────────────────────────────────┐
│ TEAM LEAD (you) │
│ │
│ Phase 1: IMPLEMENT (+ document pass on fix rounds) │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ impl-1 │ │ impl-2 │ │ impl-3 │ ... │
│ │ (general │ │ (general │ │ (general │ │
│ │ purpose) │ │ purpose) │ │ purpose) │ │
│ └──────────┘ └──────────┘ └──────────┘ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌─────────────────────────────────────┐ │
│ │ Verify: compile + tests │ │
│ └─────────────────────────────────────┘ │
│ │ │
│ Phase 2: SIMPLIFY & HARDEN AUDIT │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ simplify │ │ harden │ │ spec │ ... │
│ │ auditor │ │ auditor │ │ auditor │ │
│ │ (Explore)│ │ (Explore)│ │ (Explore)│ │
│ └──────────┘ └──────────┘ └──────────┘ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ Exit conditions met? │
│ YES → Produce summary. Ship it. │
│ NO → back to Phase 1 with findings as tasks │
│ (max 3 audit rounds) │
└──────────────────────────────────────────────────────────┘
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.
- 9d ago First seen · 477 lines · 115 tokens per session scan A a9fb957baaf2
agent-teams-simplify-and-harden is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 115 tokens to every session and 4,686 once invoked, about $0.0006 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 2026-09-03.
Other skills, from other repositories
autoplan
Auto-review pipeline — reads the full CEO, design, eng, and DX review skills from disk and runs them sequentially with auto-decisions using 6 decision principles. Surfaces taste decisions (close approaches, borderline scope, codex disagreements) at a final approval gate. One command, fully reviewed plan out. Use when…
redteam-code-audit-detail-pack
Domain routing and boundary guidance for authorized source code security review, including dangerous function tracing, data-flow analysis, logic flaw detection, and dependency review. Use when a task belongs to the code audit domain and needs scope, evidence, pivot, or exit criteria.
cocoreview
CocoReview — structured code review with six-severity findings vocabulary, progressive disclosure architecture, and universal anti-pattern baseline. Invoked via $review [file] [--complexity] [--security] [--architecture] [--language ].
review
Enter the Review phase of CocoBrew. Aggregates findings from Code Quality Advisor, CocoCupper intelligence, spec compliance check, and decision coverage gate. Produces review.md with decision points. Requires developer approval before $ship can proceed.
code-reviewer
Code review specialist focused on patterns, bugs, security, and performance.
stage-coach
Consume CocoSentinel per-stage external coach requests and produce stage quality scores.