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 activity-campaign-from-uigit 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/activity-campaign-from-ui)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/activity-campaign-from-ui"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/activity-campaign-from-ui/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/activity-campaign-from-ui"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/activity-campaign-from-ui.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 System Prompt Leakage · line 108 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- medium Excessive Agency · line 143 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00000 | $0.03696 |
| Opus 5 | $0.00000 | $0.01848 |
| Sonnet 5 | $0.00000 | $0.00739 |
| Haiku 4.5 | $0.00000 | $0.00370 |
Grade A, and why
activity-campaign-from-ui 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 12d 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 — 379 lines — stays where its author put it; the contents beside it link to each section on GitHub.
activity-campaign-from-ui
Generate a new campaign from campaign UI references, then deliver an H5/Web visual-first front-end draft on a fixed stack.
Use when
Use this skill when the user:
- provides one or more campaign/activity page screenshots
- provides a campaign design preview and wants a new campaign generated from it
- wants campaign references turned into a proposal, page architecture, or H5/Web high-fidelity draft code
- wants a structured handoff for an activity page on a fixed stack
Do not use when
Do not use this skill when:
- the request is unrelated to campaign/activity pages
- the user only wants raw OCR
- the task requires exact locked-design export
- the user wants production-ready backend logic or hidden business rules not visible from the reference
- the user wants a delivery stack outside this skill's fixed target
Fixed platform and stack
Always stay on this fixed delivery target:
- Platform: H5 / Web
- Stack: HTML + CSS + JavaScript
Do not output code in other stacks.
Modes
This skill supports one skill with multiple modes.
analysis
Use when the user wants to understand the reference. Return:
- observed UI structure
- visible text
- gameplay clues
- user flow clues
- uncertainty notes
proposal
Use when the user wants a new campaign idea from the reference. Return:
- reference summary
- gameplay abstraction
- new campaign concept
- target users
- goals
- rewards and participation path
- anti-copy explanation
- visual proposal direction that reads more like an operations campaign deck than a plain memo
architecture
Use when the user wants implementation planning without full code. Return:
- page module list
- module order
- popup system
- state flow
- tracking suggestions
- delivery schema
delivery
Use when the user wants code on the fixed stack. Return:
- file structure
index.htmlstyles.cssmain.jsmock-data.js- visual extraction summary
- implementation notes
full
Use when the user wants the full flow. Return:
- reference analysis
- gameplay abstraction
- new campaign proposal
- page architecture
- delivery schema
- visual direction
- H5/Web high-fidelity draft code
What ships with it
18 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.
- _meta.json 481 B
- agents/openai.yaml 284 B
- CHANGELOG.md 6.5 KB
- CONTRIBUTING.md 5.6 KB
- examples/campaign-schema-example.json 1.9 KB
- examples/full-delivery-example.md 14 KB
- examples/input-example.md 764 B
- examples/mode-analysis-example.md 1.5 KB
- examples/mode-architecture-example.md 1.6 KB
- examples/mode-delivery-example.md 11 KB
- examples/mode-proposal-example.md 2.9 KB
- examples/output-example.md 4.7 KB
- examples/spring-festival-case.md 1019 B
- README.md 6.0 KB
- README.zh-CN.md 5.5 KB
- references/scope.md 1.3 KB
- RELEASE-CHECKLIST.md 6.8 KB
- RELEASE.md 2.4 KB
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.
- 12d ago First seen · 379 lines · 0 tokens per session scan A 4a9585816c0c
activity-campaign-from-ui is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,139 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,696 tokens. 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 2026-08-30.
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