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 BuildrAI/Buildr --skill templatesgit clone --depth 1 https://github.com/BuildrAI/BuildrWrote 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/buildrai/buildr/templates)<a href="https://agentmods.dev/skills/buildrai/buildr/templates"><img src="https://agentmods.dev/badge/skills/buildrai/buildr/templates/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/buildrai/buildr/templates"><img src="https://agentmods.dev/badge/skills/buildrai/buildr/templates.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 | $0.00026 | $0.00549 |
| Opus 5.5 | $0.00010 | $0.00220 |
| Sonnet 5.5 | $0.00005 | $0.00110 |
| Haiku 4.5 | $0.00003 | $0.00055 |
Grade A, and why
company-example 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 yesterday.
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
组织示例接入
本模板尚未实现真实系统业务能力。test/discover 仅验证模拟上下文（Context）并提供固定示例选项；不能表述为真实登录或连接成功。根据真实系统维护适用目标、对象定位、专业命令、授权与副作用、成功失败未知判断、版本保护和接续方法。不得在正文加入真实实例配置或密码。
完整源目录使用 skills/connections/company-example/，由 skills/manifest.yml 登记 path: connections/company-example；通过现有技能（Skill）登记和投射机制启用，目录本身不自动生效。
按 命令与结果 执行无认证离线检查，或使用虚构实例经 Buildr 运行只读测试和发现。帮助使用 buildr connection-skill help --connection <id> --program cli；真实专业操作实现后通过通用 run 将专业参数交给所选程序。
需要持续集成与交付（CI/CD）等专业操作时，在声明中增加实际程序并通过通用 buildr connection-skill run 调用，按该系统说明对象定位、授权、结果核验和未知结果调查。不依赖服务本地运行模块提供部署入口，不保留未实现的专业程序。
先用 list、get --connection <完整id> 核对绑定来源、目标范围和用途，运行使用该 id 与刚读取的 revision。同类或同目标连接有多个同等候选时请用户明确选择，不按列表顺序取第一个。文件名由 Buildr 生成，实际位置取 sourcePath，不手拼路径或用文件名选择认证。
交付前选一个声明支持的用户场景：说明如何从用户提供的业务线索找到准确对象、明确所选连接、使用专业命令并核验结果；多个候选或必要输入不足时如何判断也须可接续。用两条同类同目标、不同 id 的模拟实例确认配置、认证与观察版本（Observed Revision）不串用。有独立智能体（Agent）可用时按方法独立执行，记录真实、模拟及未验证范围，不用帮助或登录成功替代场景完成。
What ships with it
3 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.
- yesterday Changed · +2 lines e50dd39b74b8
- 10d ago First seen · 18 lines · 26 tokens per session scan A 5cd584a7c262
company-example is a skill published in the GitHub repository BuildrAI/Buildr (28 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 549 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 2026-10-16.
Other skills, from other repositories
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…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
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…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
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.
component-fixtures
Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.