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 full-stack-skills/uniapp-skills --skill uniapp-adgit clone --depth 1 https://github.com/full-stack-skills/uniapp-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/full-stack-skills/uniapp-skills/uniapp-ad)<a href="https://agentmods.dev/skills/full-stack-skills/uniapp-skills/uniapp-ad"><img src="https://agentmods.dev/badge/skills/full-stack-skills/uniapp-skills/uniapp-ad/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/full-stack-skills/uniapp-skills/uniapp-ad"><img src="https://agentmods.dev/badge/skills/full-stack-skills/uniapp-skills/uniapp-ad.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 | $0.00038 | $0.00501 |
| Opus 5.5 | $0.00015 | $0.00200 |
| Sonnet 5.5 | $0.00008 | $0.00100 |
| Haiku 4.5 | $0.00004 | $0.00050 |
Grade A, and why
uniapp-ad 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 1mo 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.
What it actually says
When to use this skill
Use this skill whenever the user wants to:
- Integrate ads into uni-app
- Implement ad monetization
- Configure different ad types (banner, interstitial, rewarded video, etc.)
- Handle ad events (load, show, close, error)
- Optimize ad revenue
- Set up ad placement and timing
- Handle ad policies and compliance
How to use this skill
To integrate ads:
-
Identify the ad type from the user's request:
- Banner ads → Use banner examples
- Interstitial ads → Use interstitial examples
- Rewarded video → Use rewarded video examples
- Native ads → Use native ad examples
-
Load the appropriate example file from the
examples/directory:examples/guide/- Ad integration guideexamples/ad-types/- Different ad type examplesexamples/integration/- Integration examples
-
Load the appropriate API reference from the
api/directory:api/ad-api.md- uni-ad API reference
-
Follow the specific instructions in those files for integration
Examples and Templates
Examples
Located in examples/:
- guide/ - Ad integration guide and setup
- ad-types/ - Different ad type examples (banner, interstitial, rewarded video, etc.)
- integration/ - Integration examples and best practices
API Reference
Located in api/:
- ad-api.md - Complete uni-ad API reference
Best Practices
- User experience: Don't interrupt user experience with excessive ads
- Ad placement: Place ads strategically for maximum revenue
- Loading: Handle ad loading states properly
- Error handling: Implement proper error handling for ad failures
- Compliance: Follow ad policies and regulations
Resources
- Official Documentation: https://uniapp.dcloud.net.cn/uni-ad/
Keywords
uni-ad, 广告变现, banner广告, 激励视频, 插屏广告, ad monetization, ad integration
What ships with it
10 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.
- agents/openai.yaml 216 B
- api/ad-api.md 251 B
- examples/ad-types/banner.md 250 B
- examples/ad-types/interstitial.md 279 B
- examples/ad-types/native.md 259 B
- examples/ad-types/rewarded-video.md 278 B
- examples/guide/intro.md 368 B
- examples/integration/config.md 238 B
- examples/integration/events.md 383 B
- LICENSE.txt 11 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.
- 1mo ago Changed · -40 lines 4d9c70151bdf
- 1mo ago Changed 8bad6624adb0
- 1mo ago First seen · 109 lines · 38 tokens per session scan A 0e6b4059326d
uniapp-ad is a skill published in the GitHub repository full-stack-skills/uniapp-skills (11 stars, last pushed 22d ago), licensed Apache-2.0. It adds 38 tokens to every session and 501 once invoked, about $0.0002 per session on Opus 5.5. 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.
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