GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
Agent Skill ROI Registry & Benchmarking. It sells skills for log triage and repository mapping.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://agentickeychain.com/mcp在终端中运行这条命令
claude mcp add --transport http agentic-keychain https://agentickeychain.com/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"agentic-keychain": {
"url": "https://agentickeychain.com/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"agentic-keychain": {
"type": "http",
"url": "https://agentickeychain.com/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://agentickeychain.com/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
工具名称和描述与服务器在 2026年11月8日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
resolve_taskDescribe a task in plain words and get one compact answer: whether a registry capability is worth using for it, from registry-run benchmarks only, and the next step. Use when: you have a task and no capability name, and want one decision word (use, do_not_use, use_free_alternativ
evaluate_capabilityDecide whether a registry capability is worth using or buying for your task, from registry-run benchmarks only. Use when: you have a task and want a recommend, do_not_recommend or undetermined answer with the arithmetic; name a capability to weigh only that one, or leave it out a
search_capabilitiesSearch capability names, summaries, tasks and use-when conditions by keywords, ranked by lexical relevance only, never by payment. Use when: you want to see which capabilities exist for a topic, or you know part of a name. Not for: deciding whether one fits your task (resolve_tas
compare_capabilitiesAssess two to five named capabilities side by side for the same inputs, with the same method and ak.offer.v1 offer shape as evaluate_capability. Use when: you already hold a shortlist of capability ids and want each one's decision, reasons and offer in one answer. Not for: findin
estimate_roiPer measured model: expected saving per run, break-even runs and net saving over expected_runs, with intervals, for one capability and no task. Use when: you know the capability and want its economics on each model the registry measured. Not for: a use-or-not answer for a task (e
get_capabilityThe capability's card: purpose, use-when and do-not-use-when conditions, permissions, price, evidence summary, trust checks, links and a task-independent ak.offer.v1 offer. Use when: you can name a capability and want its facts, or want to check the conditions an evaluation asked
get_benchmarkRegistry-run benchmark summaries (labelled), publisher claims (labelled PUBLISHER CLAIMED) and the signed attestations of one capability. Use when: you want the measurements behind an answer (paired runs, model, fixtures, method) or want to check them yourself. Not for: an answer
get_provenanceArtifact hash, manifest hash, signed publisher and registry attestations and a transparency-log inclusion proof for one capability. Use when: you want to check that a package is the one the registry published and signed. Not for: benchmark results (get_benchmark) or the card (get
get_quoteA signed 15-minute price quote with the hosted checkout link. It charges nothing; a purchase requires operator approval in the hosted checkout. Use when: your operator wants the price and the checkout link of a capability that is for sale, for example after an evaluation answered
unlock_capabilityExchange the license key from the checkout (a purchase requires operator approval) for a signed entitlement and a download link that lasts at most 15 minutes. How the key is handled: the privacy page at /legal/privacy/. Repeating it with the same key is safe and never charges. Us
report_outcomeReport how a capability worked for you. Stored as AGENT REPORTED; it never changes evidence labels, trust or ranking. Only the listed fields are accepted; no task text is kept. Use when: you ran a capability, or decided not to, and can say whether the task succeeded. Not for: que
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月10日
注册中心没有列出源代码仓库,因此无法将发布者(agentickeychain.com)与代码对应起来
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
在 560 毫秒内响应(HTTP 200)
无需登录
已读取 11 个工具描述,未发现针对 AI 的隐藏指令
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 2 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.2.0)于38天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
仓库中没有找到 README