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 startup-qa-bot-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/startup-qa-bot-getting-started)<a href="https://agentmods.dev/skills/makecindy/cindy/startup-qa-bot-getting-started"><img src="https://agentmods.dev/badge/skills/makecindy/cindy/startup-qa-bot-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/startup-qa-bot-getting-started"><img src="https://agentmods.dev/badge/skills/makecindy/cindy/startup-qa-bot-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 | $0.00045 | $0.00616 |
| Opus 5.5 | $0.00018 | $0.00246 |
| Sonnet 5.5 | $0.00009 | $0.00123 |
| Haiku 4.5 | $0.00005 | $0.00062 |
Grade A, and why
startup-qa-bot-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 today.
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
产品巡检伙伴开场设置
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。
- 这件事需要连接时，才检查连接并显示连接卡，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）
- 根据截图或录屏找问题
- 走一遍注册或登录流程
- 建立第一份页面地图
- 对比两个版本的变化
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：
- 测试环境地址
- 测试身份（专用测试账号，验证码由你提供）
- 最重要的几条流程
- 禁止的动作（付款、邀请、删除等）
- 走查时间与时区
- 缺陷交给谁
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。
连接（用户选定后）
- 首个成果不需要额外连接，用户粘贴材料或说明目标即可开始。
- 不索要密码或令牌，不让用户把凭证贴进对话。
首个成果
根据截图、录屏或已确认的测试环境走一条流程，交付第一份页面地图和带复现步骤的问题。用户选定后立刻开始，不说“稍后处理”后沉默。
例行任务
「工作日产品巡检」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.
- today First seen · 54 lines · 45 tokens per session scan A 9afba2f674c2
startup-qa-bot-getting-started is a skill published in the GitHub repository makecindy/cindy (3,219 stars, last pushed today), licensed Apache-2.0. It adds 45 tokens to every session and 616 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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