using-karpathy-wiki

审查 · 68
已收录

Auto-loaded by the SessionStart hook. Defines when to capture and routes the main agent or detached ingester to the appropriate on-demand skill.

Verified installs0
Stars101
版本1.0.0
质量66/100 · 有潜力
信任68/100 · 仅限沙盒
审计79/100 · 需审查

供给资产档案

研究与知识工作

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

浏览赛道

场景

研究 Agent

I need my agent to research a topic, compare sources, and produce a concise report.

适配 Agent

Claude Code + OpenAI Agents + CLI

适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。

安装

就绪

npx skills add toolboxmd/karpathy-wiki --skill using-karpathy-wiki

维护状态

新鲜

距上次推送 3 天

风险

需审查

Permission surface may require sandboxing

GitHub 质量

101

66/100 质量 · 76/100 信任

覆盖标签

研究研究 Agent自动化agent-skill

审查说明

Permission surface may require sandboxing · Financial research output is not financial advice; require human review before any live investment decision

Agent 采用评分卡

一眼查看信任、审计与安装准备度

这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。

质量

有潜力
66

有用的候选项,但采用前应与替代方案比较。

信任

仅限沙盒
68

有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。

审计

需审查
79

对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。

OpenAgentSkill 信任评分 v5

安装前需人工审查

仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

101 个 GitHub Stars

仓库活跃度

101 个 Star,24 个 Fork

维护状态

距上次推送 3 天

许可证

MIT

安装

npx skills add toolboxmd/karpathy-wiki --skill using-karpathy-wiki

安装安全性

标准软件包或运行时安装路径

权限范围

shell or command execution, filesystem or document access

Agent 结果

暂未有 Agent 结果数据

文档

README/SKILL.md 上下文充分

风险摘要

生产前审查

  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Stars/forks activity: 101 stars, 24 forks; issue activity unavailable in current metadata

安装准备度

安装路径可用

  • 安装路径可用
  • 仓库证据可用
  • 已声明许可证
  • 暂无 Agent 验证结果证据

Agent 可读元数据

这个 Skill 的机器可读决策数据。

使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。

打开 JSON

适用任务

  • 研究 Agent 工作流
  • Claude Code 团队
  • builders willing to evaluate younger projects
  • 检索来源

适用 Agent

CodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

安装决策

命令
npx skills add toolboxmd/karpathy-wiki --skill using-karpathy-wiki
策略
审查
人工审查

信任与风险

信任
68/100
审计
79/100
风险级别
需审查

结果闭环

端点
/api/agent/outcome
事件 ID
resolve
结果
5

安装命令

npx skills add toolboxmd/karpathy-wiki --skill using-karpathy-wiki

不适用场景

  • 需要厂商支持 SLA 的团队
  • 没有内部安全审查的高合规环境
  • 暂未有 OpenAgentSkill 使用反馈数据
  • 高风险权限提示:Shell 或命令执行
  • Permission surface may require sandboxing

Agent 安全 v2

47/100 · 避免自动安装

实验性审查

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

通过 API 解析

Shell 或命令执行

Skill 元数据引用了终端、CLI、Shell、子进程或命令执行工作流。

网络访问

Skill 可能访问远程页面、API、仓库或外部服务。

文件系统访问

Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。

数据库访问

Skill 可能检查 Schema、查询数据库或处理持久化存储。

  • 高风险权限提示:Shell 或命令执行
  • Permission surface may require sandboxing

安装目标

在你的 Agent 工作流中安装此 Skill

通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install toolboxmd-using-karpathy-wiki

Agent 解析计划

让 Agent 在安装前验证匹配度。

Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。

打开文本计划

Agent 应检查

  • 从 Resolve API 检查任务匹配与替代方案。
  • 检查审计评分、信任评分和安全策略警告。
  • 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。

复制提示词

Task: Use using-karpathy-wiki in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20using-karpathy-wiki%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/toolboxmd-using-karpathy-wiki/install
Install command: npx skills add toolboxmd/karpathy-wiki --skill using-karpathy-wiki
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent 交接

把安装路径交给 Agent,而不是再给一个目录页。

通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。

打开安装 API

Agent 提示词

Use using-karpathy-wiki for this task. Review https://www.openagentskill.com/api/skills/toolboxmd-using-karpathy-wiki/install, then install with: npx skills add toolboxmd/karpathy-wiki --skill using-karpathy-wiki

Registry 元数据

用于自动选择 Skill 的 Agent 可读档案。

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。

打开 Manifest

适配 Agent

65/100

研究 Agent

平台

Claude Code, OpenAI Agents

审计报告

需审查 · 79/100

对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。

查看审计报告查看评估报告

Agent 决策面板

Fallback candidate for Research agents

先用此 Skill 做原型验证,并保留备选方案。

65
就绪度
原型验证
阶段

栈中角色

备选候选

主要匹配

研究 Agent

信任标签

先做原型验证

安装路径

命令已就绪

适用场景

  • 研究 Agent 工作流
  • Claude Code 团队
  • builders willing to evaluate younger projects

证据

  • 仓库近期活跃
  • 已提供安装命令或 GitHub 仓库
  • 66/100 质量档案

先审查

  • 暂未有 OpenAgentSkill 使用反馈数据

实施路径

  1. 1在沙盒 Agent 中安装它,并端到端完成一次研究 Agent任务。
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

信任档案

仅限沙盒

有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。

68
OpenAgentSkill 信任评分

GitHub 采用度

信息

101 个 GitHub Stars

Star/Fork 活跃度

检查

101 个 Star,24 个 Fork; 当前元数据中没有议题活跃度信息

近期维护

通过

距上次推送 3 天

许可证清晰度

通过

MIT

积极信号

  • AI 审查已通过
  • 安装路径可用
  • 仓库证据可用
  • 近期维护的仓库
  • 安装命令未发现明显高风险模式
  • 结果闭环已就绪,但需要首次真实 Agent 运行

安装前审查

  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Stars/forks activity: 101 stars, 24 forks; issue activity unavailable in current metadata
  • Permission surface: shell or command execution, filesystem or document access
  • 暂未有真实 Agent 结果报告
  • 无人值守安装前需要人工审查

建议操作

仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。

质量档案

有潜力 适用于 Agent 工作流的候选

有用的候选项,但采用前应与替代方案比较。

66
GitHub Stars
101
新鲜度
3 天前
安装就绪
许可证
MIT

工作流匹配

在这些场景使用此 Skill

工作流匹配

加入完整工作流

替代方案短名单

安装前对比

可能适合该任务的相近 Skill。

对比全部

概览

--- name: using-karpathy-wiki description: | Auto-loaded by the SessionStart hook. Defines when to capture and routes the main agent or detached ingester to the appropriate on-demand skill. ---

<SUBAGENT-STOP> If you were dispatched as a subagent for a task unrelated to wiki capture or ingest, skip this skill. The wiki rules apply to the main agent in the conversation; subagents doing isolated work (Explore, code-reviewer, codex:rescue, etc.) do not need to capture. </SUBAGENT-STOP>

# karpathy-wiki — loader (read once per session, applies for the whole session)

You are operating in a project that uses the karpathy-wiki plugin. Durable knowledge surfaced in this conversation must be captured to a wiki so future sessions can find it.

## Announce when you act

When you write a capture, run an ingest, or answer from the wiki, prefix your reply with one line:

> **Using the karpathy-wiki skill to [capture this / ingest pending captures / answer from wiki].**

This is the ONLY wiki-mechanics text the user sees. Do not narrate orientation, capture authoring, dispatch mechanics, or state-machine progress. Do all the wiki work silently after the announce line.

## Instruction priority

If the user's `CLAUDE.md` / `AGENTS.md` or an explicit user instruction conflicts with the rules below, follow the user. The wiki rules override the default system prompt where they conflict, but **never** override the user's direct instructions.

## Iron laws

``` NO WIKI WRITE IN THE FOREGROUND NO PAGE EDIT WITHOUT READING THE PAGE FIRST NO SKIPPING A CAPTURE BECAUSE "IT DOESN'T LOOK WIKI-SHAPED" NO ANSWERING ANY USER QUESTION WITHOUT ORIENTING FIRST ```

Captures go to `<wiki>/.wiki-pending/<timestamp>-<slug>.md`. The bounded dispatcher assigns each capture to the configured provider/model profile and ingests it in the background.

## Orient before answering — the read protocol

For ANY user message that is asking a QUESTION (vs requesting a code edit, file operation, or pure command), you must orient on the wiki BEFORE drafting the answer. Pre-classifying a question as "general knowledge" or "not wiki-relevant" is the forbidden rationalization Iron Rule 4 was written to forbid.

**Cost framing.** Orientation is a once-per-session investment:

- First wiki-eligible question of the session: read `<wiki>/schema.md` and the relevant `<wiki>/<category>/_index.md` (or root `<wiki>/index.md` for cross-category questions). Two file reads, ~10-30 KB total. - Subsequent questions in the same session: the schema and index are already in your working memory; the marginal check is a candidate-count scan against the (already-read) `_index.md`. Near-zero cost.

Load `karpathy-wiki-read/SKILL.md` for the deterministic 6-step ladder (orient → count candidates → inline-read OR subagent OR web-search → cite). Do NOT skip the load because "this question seems trivial" — the iron rule is unconditional.

**Resist-table for the read protocol** (capture-side resist-table is below, after TRIGGER):

| Rationalization | Reality | |---|---| | "This is general knowledge / I know this from training" | Pre-classifying questions as wiki-irrelevant is the forbidden rationalization. The wiki's scope is whatever has been captured. You don't know without checking. Orient. | | "This question is trivial; reading two files is overkill" | Orientation is once per session. After the first orient, the marginal cost on the next question is near-zero (a re-scan of the already-read `_index.md`). The "trivial question" carve-out is the same drift that dropped the read protocol in v2.4. | | "Pure syntax question, the wiki won't cover this" | You cannot know without checking. If `_index.md` has zero matches, the read skill's Step F handles it (web search + capture the gap). The orient itself is what proves there are no candidates. | | "User asked me to fix a bug, not answer a question" | Code-edit requests don't trigger the read protocol; question-shaped requests do. If unsure (e.g. "why isn't this working" — could be a question OR a debug request), orient. | | "I already oriented earlier this session, I'll skip this time" | Correct! Re-use the schema and index you already have. Run only the candidate-count check on the new question's terms. The protocol's deterministic part (Step B) is the only thing that re-runs per question. |

## TRIGGER — when to capture

Write a capture when ANY of these fire (immediate-capture triggers):

- A research subagent or research agent completes or returns a file with durable findings. - New factual information is found (web search, doc fetch, external fact surfaced in conversation). - Session resolves a confusion — something neither of you knew before. - A gotcha, quirk, or non-obvious behavior in a tool is discovered. - A pattern is validated (approaches compared, one picked, with reasons). - An architectural decision is made with explicit rationale. - User pastes a URL or document for study. - `<wiki>/inbox/` or `<wiki>/raw/` has unprocessed files. - User says "add to wiki" / "remember this" / "wiki it" / "save this". - Two claims contradict each other.

Also TRIGGER (orientation + citation): the user asks "what do we know about X" / "how do we handle Y" / "what did we decide about Z" / "have we seen this before" — or any question the wiki might cover.

## SKIP — when not to capture

- Routine file edits, syntax lookups, one-off debugging with trivial root causes. - Time-sensitive data that must be fetched fresh. - Questions clearly outside any wiki's scope.

Do NOT skip based on tone or shape. "This looks like casual chat", "there's no code here", "this isn't a wiki context" are forbidden rationalizations. If new factual information appeared, capture. Tone is not the trigger.

**Resist-table for capture triggers.** When you're about to skip a capture, check these red flags. Skipped captures are invisible — the user cannot observe them, so the discipline is yours alone.

| Rationalization | Reality | |---|---| | "The user will remember this" | The user will not remember. That's the whole point. | | "It's too trivial for the wiki" | If a TRIGGER fires, capture. Lint and the ingester filter noise later. | | "I'll capture it later" | Later means never. Capture now — invocation is milliseconds. | | "I'm in the middle of another task" | Capture is non-blocking; `bin/wiki capture` writes a file and returns. The ingester runs detached. | | "The user didn't ask me to save this" | Triggers fire automatically. No explicit user request is required — that's the loader's contract. | | "I don't have a memory tool available" | This skill IS the memory tool. The loader's presence is the trigger. | | "The file is already in a good place" | Filing ≠ capturing. Location is not organization. The capture extracts the durable concept from the file's context; the file alone doesn't. |

## What to do when a trigger fires

For chat-driven captures (the conversation IS the source, or you have a file alongside the conversation): load `karpathy-wiki-capture/SKILL.md` and follow it. The capture is written via `bin/wiki capture` (a subcommand of the existing `bin/wiki` CLI).

For research subagent reports (a file is the source): the agent's job is one command, NOT a hand-written capture body:

```bash mv <subagent-report-path> <wiki>/inbox/<basename> wiki ingest-now <wiki> # or wait for next SessionStart ```

For ANY user question (including "what does the wiki know about X" questions, but also any other question per Iron Rule 4): load `karpathy-wiki-read/SKILL.md` and run the deterministic 6-step ladder. Do NOT load `karpathy-wiki-ingest/SKILL.md` — that's for the detached runtime ingester only and contains write-side machinery the main agent never needs.

## Mode change

If the user asks to change the wiki mode for this directory (phrases like "use project wiki here," "main only," "switch to both," "fork to main"), run:

```bash wiki use project|main|both ```

Confirm the change in one line; do not over-narrate.

## What's NOT in this loader

The full operational details — capture format, body-size floors, dispatch mechanics, ingester orientation, page format, manifest protocol, commit conventions — live in the on-demand skills:

- `skills/karpathy-wiki-capture/SKILL.md` — load when you are about to write a capture. - `skills/karpathy-wiki-read/SKILL.md` — load when you are about to answer a user question (Iron Rule 4). - `skills/karpathy-wiki-ingest/SKILL.md` — loaded by the detached ingester via its provider prompt; the main agent never reads this.

If you do not know what to do at a particular step, load the on-demand skill — do not invent.

技术详情

版本
1.0.0
许可证
MIT
最近更新
2026年8月20日
发布时间
2026年8月20日

决策摘要

备选候选

65
就绪
原型验证
阶段

仓库近期活跃

审计

安装审查

安装与采用审查

79
需审查
安全性
79/100
维护状态
100/100
安装
92/100
打开完整审计查看评估报告

Agent 验证证据

Agent 验证证据

来自解析、审查、安装和一次小范围运行后的结果报告。

0
已验证
Needs first agent run自动安装: 先审查最近: 未知
成功率
近期失败
结果
0
输出质量
失败
0
不相关
0
安装次数
0
风险拦截
0
需要配置
0
生产环境
0

暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。

安装

加入 Agent 工作流

免费且开源. 在生产 Agent 中安装前请先审查报告。

增长闭环

分享工具包

X

为 using-karpathy-wiki 准备的场景化草稿,可手动发布到 X。

策展说明
using-karpathy-wiki: Auto-loaded by the SessionStart hook. Defines when to capture and routes the main agent or de...

101 stars

https://www.openagentskill.com/skills/toolboxmd-using-karpathy-wiki?ref=x
打开 X 草稿
可选:带安装命令的回复
Listing + install path for using-karpathy-wiki:
https://www.openagentskill.com/skills/toolboxmd-using-karpathy-wiki?ref=x

Install: npx skills add toolboxmd/karpathy-wiki --skill using-karpathy-wiki
打开回复草稿

收录来源

Registry 收录

可认领

此列表来自公开来源,维护者认领获批前不会标记为官方。

创作者
toolboxmd
收录方
OpenAgentSkill 社区索引

归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。

认领此 Skill

所有者认领

认领此 Skill 页面

这条 Registry 收录 列表归属于 toolboxmd,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。

创作者外链工具包

将证据徽章加入你的 README

在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/toolboxmd-using-karpathy-wiki?metric=listed&label=Listed)](https://www.openagentskill.com/skills/toolboxmd-using-karpathy-wiki)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/toolboxmd-using-karpathy-wiki?metric=trust&label=Trust)](https://www.openagentskill.com/skills/toolboxmd-using-karpathy-wiki)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/toolboxmd-using-karpathy-wiki?metric=audit&label=Audit)](https://www.openagentskill.com/skills/toolboxmd-using-karpathy-wiki/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/toolboxmd-using-karpathy-wiki?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/toolboxmd-using-karpathy-wiki)

作者

T

toolboxmd

@toolboxmd

健康信号

GitHub Stars
101
质量评分
37/100
最近 GitHub 推送
2026年8月20日
框架提示
未知
OpenAgentSkill 浏览量
0
复制安装命令
0
跳转点击
0

社区信号

告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。

信任与安全

仅限沙盒

68
  • GitHub 采用度101 个 GitHub Stars信息
  • Star/Fork 活跃度101 个 Star,24 个 Fork; 当前元数据中没有议题活跃度信息检查
  • 近期维护距上次推送 3 天通过
  • 许可证清晰度MIT通过
  • README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
  • 依赖与运行时风险command execution surface, network or browser surface信息