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 fuzhengwei/xfg-skills-template --skill full-featuredgit clone --depth 1 https://github.com/fuzhengwei/xfg-skills-templateWrote 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/fuzhengwei/xfg-skills-template/full-featured)<a href="https://agentmods.dev/skills/fuzhengwei/xfg-skills-template/full-featured"><img src="https://agentmods.dev/badge/skills/fuzhengwei/xfg-skills-template/full-featured/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/fuzhengwei/xfg-skills-template/full-featured"><img src="https://agentmods.dev/badge/skills/fuzhengwei/xfg-skills-template/full-featured.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 | $0.00045 | $0.00599 |
| Opus 5 | $0.00023 | $0.00300 |
| Sonnet 5 | $0.00009 | $0.00120 |
| Haiku 4.5 | $0.00005 | $0.00060 |
Grade A, and why
full-featured 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.
What it actually says
完整功能技能模板
本模板展示了生产级技能的完整结构，包含所有可选目录和最佳实践。
功能概述
描述此技能的核心功能。保持简洁，1-3 句话。
使用方法
基本工作流
-
验证输入：运行验证脚本确认输入有效
bash scripts/validate.sh --input <input_file> -
处理数据：运行处理脚本
python3 scripts/process.py --input <input_file> --output <output_file> -
验证输出：检查输出是否符合预期
python3 scripts/process.py --validate <output_file>
输出格式
使用以下模板生成报告：
# [报告标题]
## 摘要
[一段概述]
## 详情
- 项目 1
- 项目 2
## 建议
1. 可执行的建议
可用脚本
scripts/validate.sh— 验证输入文件格式scripts/process.py— 数据处理（支持 PEP 723 依赖声明）
可用资源
references/architecture.md— 架构设计文档（当需要理解系统设计时读取）references/api-reference.md— API 参考文档（当需要查询 API 详情时读取）assets/template.yaml— 配置模板（当需要生成配置文件时使用）
Gotchas
- 输入文件编码必须为 UTF-8，否则脚本会报错
- 处理脚本默认限制输出 1000 行，使用
--limit参数调整 - 验证脚本需要 bash 4.0+，macOS 自带版本可能不兼容
错误处理
- 如果脚本返回非零退出码，阅读 stderr 输出的错误消息
- 常见错误：文件不存在（退出码 1）、格式错误（退出码 2）、权限不足（退出码 3）
- 遇到 API 错误时，读取
references/api-reference.md中的错误码表
What ships with it
6 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.
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 · 80 lines · 45 tokens per session scan A e7c5e04dc6c7
full-featured is a skill published in the GitHub repository fuzhengwei/xfg-skills-template (11 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 45 tokens to every session and 599 once invoked, about $0.0002 per session on Opus 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
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…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…