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 xyva-yuangui/XyvaClaw --skill commerce-travel-shoppergit clone --depth 1 https://github.com/xyva-yuangui/XyvaClawWrote 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/xyva-yuangui/xyvaclaw/commerce-travel-shopper)<a href="https://agentmods.dev/skills/xyva-yuangui/xyvaclaw/commerce-travel-shopper"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/commerce-travel-shopper/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/xyva-yuangui/xyvaclaw/commerce-travel-shopper"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/commerce-travel-shopper.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 | $0.00028 | $0.00174 |
| Opus 5.5 | $0.00011 | $0.00070 |
| Sonnet 5.5 | $0.00006 | $0.00035 |
| Haiku 4.5 | $0.00003 | $0.00017 |
Grade A, and why
commerce-travel-shopper 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
commerce-travel-shopper
Screenshot-driven cross-platform comparison assistant for flights, hotels, and shopping. Supports controlled agent execution with human confirmations.
Full docs: read SKILL-REFERENCE.md
What ships with it
20 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 269 B
- allowed_operators.example.json 65 B
- examples/README.md 724 B
- lib/feishu_bridge_core.mjs 17 KB runs code
- lib/feishu_runtime.mjs 46 KB runs code
- lib/storage.mjs 572 B runs code
- lib/workflow.mjs 1.1 KB runs code
- README.md 5.9 KB
- runtime_auto_page.html 148 B
- runtime_sample_ocr.png 3 B
- runtime_sample_ocr.txt 53 B
- runtime_sample.png 4 B
- scripts/check.py 370 B runs code
- scripts/collect_screenshots.mjs 6.8 KB runs code
- scripts/feishu_agent_runtime.mjs 11 KB runs code
- scripts/README.md 66 B
- SKILL-REFERENCE.md 9.9 KB
- VERSION 31 B
- 功能介绍.md 4.0 KB
- 开发文档.md 6.2 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 · 23 lines · 28 tokens per session scan A f8cfacb34193
commerce-travel-shopper is a skill published in the GitHub repository xyva-yuangui/XyvaClaw (21 stars, last pushed 2mo ago), licensed MIT. It adds 28 tokens to every session and 174 once invoked, about $0.0001 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 2026-08-30.
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