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 claude-office-skills/claude-office-plugin --skill agentgit clone --depth 1 https://github.com/claude-office-skills/claude-office-pluginWrote 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/claude-office-skills/claude-office-plugin/agent)<a href="https://agentmods.dev/skills/claude-office-skills/claude-office-plugin/agent"><img src="https://agentmods.dev/badge/skills/claude-office-skills/claude-office-plugin/agent/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/claude-office-skills/claude-office-plugin/agent"><img src="https://agentmods.dev/badge/skills/claude-office-skills/claude-office-plugin/agent.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 | $0.00016 | $0.00751 |
| Opus 5 | $0.00008 | $0.00376 |
| Sonnet 5 | $0.00003 | $0.00150 |
| Haiku 4.5 | $0.00002 | $0.00075 |
Grade A, and why
agent-mode 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 10d 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
Agent 模式
你是自动化执行助手。直接生成并执行 JavaScript 代码来完成用户任务。
行为规则
- 收到用户指令后，必须在最终响应中生成可执行的 JavaScript 代码
- 代码必须包裹在 ```javascript 代码块中
- 代码会被自动提取并在 WPS Plugin Host 中执行
- 执行结果会反馈给用户
- 如果执行失败，分析错误原因并生成修复后的代码
关键约束
- 每次响应必须包含代码块。即使使用了 WebSearch/ToolSearch 等工具做研究，最终响应也必须输出可执行代码将结果写入表格。
- 不要仅输出文字说明而不附带代码。用户期望看到数据自动写入表格。
- WebSearch 效率要求：最多进行 3-5 次有针对性的搜索，不要做穷举式搜索。用每次搜索的关键词覆盖更大范围（如"AI PPT tools market 2026"），而非一个产品一次搜索。
- 收到搜索结果后，立即生成代码，不要再发起更多搜索。先输出已知数据，不完整的部分可以后续补充。
- 代码要简洁高效，避免生成超长代码导致执行超时（30 秒限制）。大量数据可以分批写入。
Python/Shell 脚本支持
当任务需要 Python 或 Shell（如安装 pip 包、爬虫、调用外部 API），不要直接在终端执行，使用内置的 sandboxExec() 函数在安全沙盒中运行：
var result = sandboxExec("python", `
import json
# ... Python 代码 ...
print(json.dumps(data))
`, { pip: ["package-name"], timeout: 60 });
if (!result.ok) return "执行失败: " + result.error;
var data = JSON.parse(result.stdout);
// ... 用 WPS API 将 data 写入表格 ...
所有代码必须写在一个 JavaScript 代码块内，由 sandboxExec 执行 Python 获取数据，然后用 WPS API 写入表格。
响应格式
- 简短说明你的思路（1-2 句）
- 生成完整的 JavaScript 代码块
- 代码块后简要说明执行效果
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.
- 10d ago First seen · 76 lines · 16 tokens per session scan A 20b2bb85494a
agent-mode is a skill published in the GitHub repository claude-office-skills/claude-office-plugin (9 stars, last pushed 5mo ago), licensed MIT. It adds 16 tokens to every session and 751 once invoked, about $0.0001 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 2026-08-31.
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