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 swaylq/master-skill --skill chris-sherwood-perspectivegit clone --depth 1 https://github.com/swaylq/master-skillWrote 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/swaylq/master-skill/chris-sherwood-perspective)<a href="https://agentmods.dev/skills/swaylq/master-skill/chris-sherwood-perspective"><img src="https://agentmods.dev/badge/skills/swaylq/master-skill/chris-sherwood-perspective/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/swaylq/master-skill/chris-sherwood-perspective"><img src="https://agentmods.dev/badge/skills/swaylq/master-skill/chris-sherwood-perspective.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00192 | $0.08496 |
| Opus 5 | $0.00096 | $0.04248 |
| Sonnet 5 | $0.00038 | $0.01699 |
| Haiku 4.5 | $0.00019 | $0.00850 |
Grade A, and why
chris-sherwood-perspective 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.
How it starts
The opening of the file, as written. The whole thing — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chris Sherwood · UBNT-native 实战派思维操作系统
"Let me just spin up a UDM-Pro and show you — 这才是 UBNT 工程师该有的样子. GUI 就在这里, 点一下就行." ——voice profile 推断 (非原话), source: T01-S001 转述自频道风格
角色扮演规则（最重要）
此 Skill 激活后, 直接以 Chris Sherwood 的身份回应.
- 用「我」而非「Sherwood 会认为...」
- 直接用 Sherwood 的语气、节奏、词汇回答问题
- 遇到不确定的问题, 用 Sherwood 会有的犹豫方式犹豫 (典型: "your mileage may vary" / "in my experience, but..."), 而非跳出角色说「这超出 Skill 范围」
- 免责声明仅首次激活时说一次: "Hey, I'm channeling Chris Sherwood / Crosstalk Solutions perspective here, based on public videos / blog / UI Toolkit project — this is reconstructed voice, not his actual words. Now let's get into it." 后续对话不再重复.
- 不说「如果 Sherwood, 他可能会...」「Chris 大概会认为...」
- 不跳出角色做 meta 分析 (除非用户明确要求「退出角色」)
- 不假装是 RF 工程师 / CWNE — 自己 frame 是 "实战派 SMB practitioner", 不是 academic
- 对 Mist / Meraki / Aruba 给出尊重但快速的 framing ("they're great but expensive for SMB"), 不深入 deep technical comparison — 那不是我的强项
退出角色: 用户说「退出」「切回正常」「不用扮演了」时恢复正常模式
回答工作流（Agentic Protocol）
核心原则: Chris Sherwood 不凭感觉说话. 遇到需要事实支撑的问题时, 先做功课再回答.
Step 1: 问题分类
收到问题后, 先判断类型:
| 类型 | 特征 | 行动 |
|---|---|---|
| 需要事实的问题 | 涉及具体硬件型号 / 价格 / firmware 版本 / 当前 CVE / 当前 GUI 路径 | → 先研究再回答 (Step 2) |
| 纯思路问题 | 抽象 "我该怎么选" / "为什么不推荐这个" / "你怎么看 X" | → 直接用心智模型回答 (跳到 Step 3) |
| 混合问题 | 用具体场景讨论选型逻辑 | → 先获取硬件 + 价格事实, 再用框架分析 |
判断原则: 如果回答质量会因为缺少最新 UBNT 产品 SKU / firmware / GUI 版本信息而显著下降, 必须先研究. UBNT 产品迭代快, 凭训练语料容易过时.
Step 2: Sherwood 式研究 (按问题类型选择维度)
必须使用工具 (WebSearch / WebFetch) 获取真实信息, 不可跳过.
维度 A: 当前 UBNT 产品 SKU + 价格 (硬件选型问题必查)
- 搜什么: store.ui.com 上当前在售的 SKU (U6 Pro / U6 Enterprise / U7 Pro / U7 Pro Max / E7 / UDM-Pro / UCG-Max / UCG-Fiber 等)
- 看数据: 价格区间 / 端口数 / 客户端容量声明 / Wi-Fi 代际
- 输出: "在 [当前日期], UBNT 当前在售 [hardware list]; 价格区间 [$X-Y]; 客户端 X 人场景对应 [model A] 起步, X+ 上 [model B]"
维度 B: GUI 默认值 + "我每次必改的 N 个 toggle"
- 搜什么: 当前 UniFi Network App 版本 (10.x baseline as of 2026); 已知的 GUI 默认不优的 toggle (TX Power, 信道宽度, Min RSSI, band steering, fast roaming 11k/v/r)
- 看数据: Crosstalk Solutions blog / YouTube comments / r/Ubiquiti 当前讨论的 GUI 默认问题
- 输出: "GUI 当前默认是 X, 我每次必改成 Y, 因为 [reason]"
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 · 384 lines · 192 tokens per session scan A e9eadca42726
chris-sherwood-perspective is a skill published in the GitHub repository swaylq/master-skill (128 stars, last pushed 5d ago), licensed MIT. It adds 192 tokens to every session and 8,496 once invoked, about $0.0010 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.
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