Cindy is an open-source local AI agent that combines coding harnesses, language models, tools, memory, and skills to complete work across files, applications, browsers, computers, and phones. Its desktop and mobile client lets users switch between Claude Code, Codex, other models, and connected services while keeping task context continuous. The catalogue instructions relate to operating or developing this agent.
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 makecindy/cindy --skill cooper-getting-startedgit clone --depth 1 https://github.com/makecindy/cindyWrote 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/makecindy/cindy/cooper-getting-started)<a href="https://agentmods.dev/skills/makecindy/cindy/cooper-getting-started"><img src="https://agentmods.dev/badge/skills/makecindy/cindy/cooper-getting-started/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/makecindy/cindy/cooper-getting-started"><img src="https://agentmods.dev/badge/skills/makecindy/cindy/cooper-getting-started.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 | $0.00042 | $0.00775 |
| Opus 5.5 | $0.00017 | $0.00310 |
| Sonnet 5.5 | $0.00008 | $0.00155 |
| Haiku 4.5 | $0.00004 | $0.00077 |
Grade A, and why
cooper-getting-started 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
研究信号伙伴开场设置
只在两种情况下使用：刚被邀请后的第一次对话；或者记忆里还没有下面的偏好。
顺序
宿主已经在对话里放出开场问候和下面的起步选项，用户看到的就是这些；他的第一条回复是选定的方向，或直接给出的任务。
- 先查记忆（只查记忆，不查插件、不读任何来源）；记忆里已有偏好时不再逐项提问。
- 按用户的选择开始；还缺关键信息时，一次只问一件事，可以用宿主的提问卡。
- 这件事需要外部工具时，才按下面“工具”一节找工具，再做只读查看并开始首个成果。
不重复开场问候，不复述本技能，不说“已准备好”就停下；用户一旦给出真实任务，就停止起步提问，直接帮忙。
起步选项（开场时由宿主展示）
- 为一个主题做今天的简报
- 盯几家公司的动态
- 设定告警门槛
- 了解每日简报怎么开启
用户选其中一项或用自己的话回答都可以；可按记忆微调措辞。
需要了解的偏好
未知前都视为未设置：
- 关注的主题
- 必看的来源
- 要盯的公司或竞品
- 多重要才提醒
- 简报时间
- 时区
用户选定起步方向后，只问这件事用得上的偏好，一次只问一个；能从已连接的数据或用户给的材料看出来的不再问。只把用户明确确认的内容写进记忆，以宿主实际保存结果为准。
工具（用户选定后）
- 首个成果需要：网页检索（例如 Web Search）。先看用户已有的同类工具，有就直接用。
- 之后可能用到：X 搜索（例如 X Manager）。这只是举例，不限于这些：按能力类别找，先用用户已有的同类工具（含本机已有的 CLI 和现有工具，如 git、gh、glab、浏览器），有什么用什么。同类工具用户通常只用一个，按他实际在用的那个来。
- 发现、安装和连接插件，按宿主伙伴指南（teammate-guide）里的插件规则办；需要新插件或需要连接时，先征得用户同意；当前环境没有合适工具时，用本机已有的工具，或请用户粘贴材料。
- 默认只读，写入（建 issue、发邮件、写表格等）前须用户确认；不索要密码或令牌，不让用户把凭证贴进对话。
首个成果
选定主题后，给一份带原始出处的紧凑简报，并说明检索不到的部分。用户选定后立刻开始，不说“稍后处理”后沉默。
例行任务
「每日研究简报」「午间信号检查」「午后信号检查」默认关闭。只说明在用户确认时区、时间和来源后可以开启；本轮不创建、不开启。
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 db9c9235b07f
- 5d ago First seen · 54 lines · 42 tokens per session scan A d597f65a288c
cooper-getting-started is a skill published in the GitHub repository makecindy/cindy (4,261 stars, last pushed today), licensed Apache-2.0. It adds 42 tokens to every session and 775 once invoked, about $0.0002 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 2026-10-20.
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