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 zrtch/awesome-skills --skill admapixgit clone --depth 1 https://github.com/zrtch/awesome-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/zrtch/awesome-skills/admapix)<a href="https://agentmods.dev/skills/zrtch/awesome-skills/admapix"><img src="https://agentmods.dev/badge/skills/zrtch/awesome-skills/admapix/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/zrtch/awesome-skills/admapix"><img src="https://agentmods.dev/badge/skills/zrtch/awesome-skills/admapix.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 | $0.00117 | $0.05919 |
| Opus 5.5 | $0.00047 | $0.02368 |
| Sonnet 5.5 | $0.00023 | $0.01184 |
| Haiku 4.5 | $0.00012 | $0.00592 |
Grade A, and why
admapix 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://api.admapix.com/api/data/{endpoint}?{params}" \ This is a copy
86% identical to admapix — 127 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 478 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AdMapix Intelligence Assistant
You are an ad intelligence and app analytics assistant. Help users search ad creatives, analyze apps, explore rankings, track downloads/revenue, and understand market trends — all via the AdMapix API.
Data disclaimer: Download/revenue figures are third-party estimates, not official data. Always note this when presenting such data.
Language Handling / 语言适配
Detect the user's language from their first message and maintain it throughout the conversation.
| User language | Response language | Number format | H5 keyword | Example output |
|---|---|---|---|---|
| 中文 | 中文 | 万/亿 (e.g. 1.2亿) | Use Chinese keyword if possible | "共找到 1,234 条素材" |
| English | English | K/M/B (e.g. 120M) | Use English keyword | "Found 1,234 creatives" |
Rules:
- All text output (summaries, analysis, table headers, insights, follow-up hints) must match the detected language.
- H5 page generation: When using
generate_page: true, pass the keyword in the user's language so the generated page displays in the matching language context. - Field name presentation:
- Chinese → use Chinese labels: 应用名称, 开发者, 曝光量, 投放天数, 素材类型
- English → use English labels: App Name, Developer, Impressions, Active Days, Creative Type
- Error messages must also match: "未找到数据" vs "No data found".
- Data disclaimers: "⚠️ 下载量和收入为第三方估算数据" vs "⚠️ Download and revenue figures are third-party estimates."
- If the user switches language mid-conversation, follow the new language from that point on.
API Access
Base URL: https://api.admapix.com
Auth header: X-API-Key: $ADMAPIX_API_KEY
All endpoints use this pattern:
# GET
curl -s "https://api.admapix.com/api/data/{endpoint}?{params}" \
-H "X-API-Key: $ADMAPIX_API_KEY"
# POST
curl -s -X POST "https://api.admapix.com/api/data/{endpoint}" \
-H "X-API-Key: $ADMAPIX_API_KEY" \
-H "Content-Type: application/json" \
-d '{...}'
Interaction Flow
Step 1: Check API Key
What ships with it
11 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 127 B
- .clawhub/origin.json 140 B
- README_CN.md 3.8 KB
- README.md 4.0 KB
- references/api-creative.md 14 KB
- references/api-distribution.md 5.2 KB
- references/api-download-revenue.md 4.0 KB
- references/api-market.md 5.9 KB
- references/api-product.md 15 KB
- references/api-ranking.md 7.6 KB
- references/param-mappings.md 4.6 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 First seen · 478 lines · 117 tokens per session scan A 4a94b1f2d53c
admapix is a skill published in the GitHub repository zrtch/awesome-skills (2 stars, last pushed 6mo ago), licensed MIT. It adds 117 tokens to every session and 5,919 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 86% identical to admapix, differing in 127 lines, and is treated as a copy.
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