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 agentmods add skills/xuzan9396/plugin_claude/xz-execnpx skills add Xuzan9396/plugin_claude --skill xz-execgit clone --depth 1 https://github.com/Xuzan9396/plugin_claudeWrote 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/xuzan9396/plugin_claude/xz-exec)<a href="https://agentmods.dev/skills/xuzan9396/plugin_claude/xz-exec"><img src="https://agentmods.dev/badge/skills/xuzan9396/plugin_claude/xz-exec.svg" alt="Measured on agentmods" 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 | $0.00019 | $0.14988 |
| Opus 5 | $0.00010 | $0.07494 |
| Sonnet 5 | $0.00004 | $0.02998 |
| Haiku 4.5 | $0.00002 | $0.01499 |
Grade B, and why
xz-exec scanned grade B with 2 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 4d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
| T1 | #1,#2 | 接口 | `curl -s -X POST localhost:8080/login -d '{"u":"a","p":"b"}'` | HTTP 200 且 body 含 `token` 字段 | ⏭️ 跳过（要先起服务） | Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| **自动化用例** | AI 能用一条命令跑出**机器可判定结果**：单测/集成测试、接口 curl + 断言、CLI 输出比对、脚本、数据库查询校验、浏览器操作（**用 `/claude-in-chrome` skill 驱动 Chrome**，唤起后走 `mcp__claude-in-chrome__*` 工具） | 直接跑 | The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 4d ago First seen · 596 lines · 19 tokens per session scan B f1b1e5b6cadb
xz-exec is a skill published in the GitHub repository Xuzan9396/plugin_claude (6 stars, last pushed 2d ago), with no licence file. It adds 19 tokens to every session and 14,988 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…