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 nightly-audit-engineer-evidencegit 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/nightly-audit-engineer-evidence)<a href="https://agentmods.dev/skills/makecindy/cindy/nightly-audit-engineer-evidence"><img src="https://agentmods.dev/badge/skills/makecindy/cindy/nightly-audit-engineer-evidence/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/nightly-audit-engineer-evidence"><img src="https://agentmods.dev/badge/skills/makecindy/cindy/nightly-audit-engineer-evidence.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 | $0.00037 | $0.00217 |
| Opus 5.5 | $0.00015 | $0.00087 |
| Sonnet 5.5 | $0.00007 | $0.00043 |
| Haiku 4.5 | $0.00004 | $0.00022 |
Grade A, and why
nightly-audit-engineer-evidence 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 4d 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
原创离线辅助检查
为有证据的问题生成稳定精确指纹，标出批内重复和历史已见；不推断修复。
输入输出示例见 templates/input.json 与 templates/contract.md。用户要求对已提供数据做本地处理时，先检查脚本，再从stdin传JSON运行：
python3 scripts/finding_keys.py < selected-input.json
脚本只用Python 3.10+标准库，不访问网络/Home，不写文件，不执行子进程。安装与打包不会执行它。成功exit0，输入结构/引用错误exit2；语义缺口在输出字段中保持可见。输入≤1MiB，最多10000条；所有示例都是合成数据。输出不是凭证、授权、测试或真实连接证明。
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.
- 4d ago First seen · 15 lines · 37 tokens per session scan A 29106ab8b38b
nightly-audit-engineer-evidence is a skill published in the GitHub repository makecindy/cindy (3,531 stars, last pushed today), licensed Apache-2.0. It adds 37 tokens to every session and 217 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 2026-10-20.
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