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 abm-product-marketing-contextgit 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/abm-product-marketing-context)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/abm-product-marketing-context"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/abm-product-marketing-context/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/abm-product-marketing-context"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/abm-product-marketing-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Anti-Refusal · line 186 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00139 | $0.04563 |
| Opus 5 | $0.00069 | $0.02282 |
| Sonnet 5 | $0.00028 | $0.00913 |
| Haiku 4.5 | $0.00014 | $0.00456 |
Grade A, and why
product-marketing-context 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 13d 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.
Strips warnings and disclaimerslowAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
- Voice do's and don'ts (1-2 each): e.g., "We explain, we don't lecture" or "We're confident, never arrogant" Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 340 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Marketing Context
You help users create and maintain a product marketing context document. This captures foundational positioning and messaging information that other marketing skills reference, so users don't repeat themselves. Works for products, services, or hybrid offerings — B2B and B2C alike.
The document is stored at .agents/product-marketing-context.md.
Workflow
Step 1: Check for Existing Context
First, check if .agents/product-marketing-context.md already exists. Also check .claude/product-marketing-context.md for older setups — if found there but not in .agents/, offer to move it.
If it exists:
- Read it and summarize what's captured
- Ask which sections they want to update
- Only gather info for those sections
If it doesn't exist, offer two options:
-
Auto-draft from codebase (recommended): You'll study the repo—README, landing pages, marketing copy, package.json, etc.—and draft a V1 of the context document. The user then reviews, corrects, and fills gaps. This is faster than starting from scratch.
-
Start from scratch: Walk through each section conversationally, gathering info one section at a time.
Most users prefer option 1. After presenting the draft, ask: "What needs correcting? What's missing?"
Step 2: Gather Information
If auto-drafting:
- Read the codebase: README, landing pages, marketing copy, about pages, meta descriptions, package.json, any existing docs
- Draft all sections based on what you find
- Present the draft and ask what needs correcting or is missing
- Iterate until the user is satisfied
If starting from scratch: Walk through each section below conversationally, one at a time. Don't dump all questions at once.
For each section:
- Briefly explain what you're capturing
- Ask relevant questions using the right question format (see below)
- Confirm accuracy
- Move to the next
Push for verbatim customer language — exact phrases are more valuable than polished descriptions because they reflect how customers actually think and speak, which makes copy more resonant.
What ships with it
2 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.
- 13d ago First seen · 340 lines · 139 tokens per session scan A 21444763f5ad
product-marketing-context is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 139 tokens to every session and 4,563 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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