Claude Code Skills Marketplace is a collection and marketplace of skills, plugins, agents, and instructions that extend Claude Code with specialized development workflows. It is for developers who want to install existing workflows or create, validate, and package their own Claude Code skills.
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 daymade/claude-code-skills --skill kimi-usegit clone --depth 1 https://github.com/daymade/claude-code-skillsWrote 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/daymade/claude-code-skills/kimi-use)<a href="https://agentmods.dev/skills/daymade/claude-code-skills/kimi-use"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/kimi-use/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/daymade/claude-code-skills/kimi-use"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/kimi-use.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 | $0.00155 | $0.03681 |
| Opus 5.5 | $0.00062 | $0.01472 |
| Sonnet 5.5 | $0.00031 | $0.00736 |
| Haiku 4.5 | $0.00015 | $0.00368 |
Grade A, and why
kimi-use 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.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
kimi-use — Kimi 桌面客户端的插件取数与 Chat 深度研究
先按交付物选模式
| 要得到什么 | 客户端入口 | 结果判据 |
|---|---|---|
| 指定插件的字段、原始记录或接口能力 | Work/Agent + K3 极致思考，下文「插件取数循环」 | 实际调用插件的轨迹、带来源字段与独立权威源复核 |
| 独立的长篇研究报告 | Chat → 深度研究 + K3 极致，见 references/driving-kimi-app.md「Chat 深度研究」 |
任务完成后的原始报告及附件、来源和承重断言复核 |
一次 Chat 深度研究实测产出了 Markdown 与图表 ZIP；这不是 Work/Agent 插件取数成功的证据。若同一任务要求两种结果，分别派发、保留各自原件和模式标签，不把报告当成插件接口回执。
插件取数通道是什么
Kimi 桌面客户端（Kimi.app，com.moonshot.kimichat）自带一个插件生态：天眼查、同花顺 iFinD、财新数据、标普全球市场财智、恒生聚源、SEC、IMF、世界银行、学术数据库、法律数据库等。这些插件跑在用户自己的登录态上——不需要额外 API key，不需要爬虫，权限来自用户账号已有的订阅。能访问不等于免费调用：部分接口仍按次扣账户积分。
用 computer-use 驱动这个客户端的 GUI，agent 就把这一整排数据源变成了自己的取数通道。具体工具和输入方式以当前宿主加载的 API 为准，见 references/driving-kimi-app.md。
这个通道有两个不显而易见、且都付出过真实代价的性质，决定了本 skill 一半讲驱动、一半讲核验：
- 「已安装」≠「可调用」，且「不可调用」的证词依赖模式 × 模型。 插件列表要打开客户端「插件 → 已安装」页才看得到；能不能调只能实跑探针。⚠️ 探针的否定结论只在 Work/Agent 模式 + K3 极致思考下取得才可信——Chat/快速模型（K2.6）下的「不可调用」证词实测被推翻过（详见能力边界页的万得条目）；肯定结果（真调到了、数据带来源标）不受此限。
- 答案是渲染在屏幕上的。 屏幕转录会静默抄错中文专名、会把截断当全量（实测：20 个股东名抄错 6 个、持股比例却逐位全对；「全 20 条」实为 50 条）。从这条通道落盘的数据，不过权威源复核不许写进交付物。
路由：什么时候用这条通道
有专用通道的先走专用通道——本 skill 是「没有专用通道时的宽面网关」，不是万能首选：
| 需求 | 走哪条 |
|---|---|
| 企业工商数据，且本机有专用 CLI（如 qcc） | 专用 CLI 为权威源；Kimi 天眼查插件当对照通道 |
| 有 iFinD 自己的账号凭据 | 直连 API 类工具（本机若装有 iFinD API skill/客户端）——结构化、无 GUI 开销 |
| A 股券商研报 | 先走东方财富研报公开 JSON API（reportapi.eastmoney.com，免费免代理、无 GUI 开销；参数与实测见 references/plugin-capabilities.md）；Kimi 侧恒生聚源当第二通道取并集——两条实测互不包含 |
| 驱动浏览器里的 kimi.com 网页版 | kimi-webbridge skill（Kimi Browser Extension 的 skill，不在本仓；本地 daemon，不走 GUI） |
| Kimi 客户端生成独立深度研究报告 | 本 skill 的 Chat 深度研究分支；不沿用插件探针的模式限制 |
| 用 kimi-cu 驱动任意 macOS 桌面应用（Electron / webview / 原生；表单填写、弹窗、前台化、AX 树恢复） | references/kimi-cu-desktop-automation.md——可靠性分层与操作配方，与 Kimi.app 业务无关、可独立使用 |
| 无凭据 / 只有插件形态的数据源 / 一次要横跨多个源 | 本 skill |
路由表管的是「默认该走哪条」；用户当面指定「就用 Kimi 查」时不挡路——Kimi 是取数通道、专用 CLI 是复核通道，两个角色不冲突。
环境边界：仅在 macOS 上实测过（Kimi.app 桌面客户端）。Windows 版 Kimi 客户端存在，但本流程未在 Windows 验证——在 Windows 上用时按「未验证」对待，先把驱动链路跑通再取数。
What ships with it
4 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.
- 10d ago Changed 442af066ccd8
- 15d ago Changed · +5 lines · +53 tokens per session 5d96f9709762
- 21d ago Changed 65fe6f4bc5ed
- 22d ago Changed · +9 lines · -15 tokens per session b88f954ae152
- 23d ago Changed 72238f47f43c
- 24d ago Changed · +4 lines · -106 tokens per session 04d318dc0f4b
- 1mo ago First seen · 73 lines · 223 tokens per session scan A 30078cc6594d
kimi-use is a skill published in the GitHub repository daymade/claude-code-skills (1,473 stars, last pushed today), licensed MIT. It adds 155 tokens to every session and 3,681 once invoked, about $0.0006 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 2026-09-03.
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