karpathy-wiki-ingest
For a detached wiki ingester only. The main agent never loads this. Defines orientation protocol, page format, role guardrail, validator contract, manifest protocol, and deterministic completion contract. Loaded by the provider-aware runtime worker.
供给资产档案
研究与知识工作
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
场景
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
适配 Agent
Claude Code + CLI + Codex
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-ingest
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
67/100 质量 · 70/100 信任
覆盖标签
审查说明
Permission surface may require sandboxing · SKILL.md is truncated in the provided excerpt, but the visible content is coherent and complete enough for evaluation.
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
有潜力有用的候选项,但采用前应与替代方案比较。
信任
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。
审计
需审查对安装准备度、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。
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 karpathy-wiki-ingest
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
- SKILL.md is truncated in the provided excerpt, but the visible content is coherent and complete enough for evaluation.
- 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。
适用任务
- RAG and knowledge 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- Chunk documents
适用 Agent
安装决策
- 命令
- npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-ingest
- 策略
- 阻止
- 人工审查
- 是
信任与风险
- 信任
- 62/100
- 审计
- 77/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- production agents without a repository review
- SKILL.md is truncated in the provided excerpt, but the visible content is coherent and complete enough for evaluation.
- 高风险权限提示:Shell or command execution, Secrets or environment access
- Permission surface may require sandboxing
Agent 安全 v2
33/100 · 避免自动安装
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
高
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。
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
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。
高
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- 高风险权限提示:Shell or command execution, Secrets or environment access
- 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。
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-karpathy-wiki-ingestAgent 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 JSON
/api/agent/resolve?task=Use%20karpathy-wiki-ingest%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20karpathy-wiki-ingest%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/toolboxmd-karpathy-wiki-ingest/install
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 karpathy-wiki-ingest in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20karpathy-wiki-ingest%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/toolboxmd-karpathy-wiki-ingest/install
Install command: npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-ingest
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。
安装交接
/api/skills/toolboxmd-karpathy-wiki-ingest/install
LLM 文本格式
/api/skills/toolboxmd-karpathy-wiki-ingest/install?format=text
寻找替代方案
/api/skills/search?q=karpathy-wiki-ingest&limit=3
Agent 提示词
Use karpathy-wiki-ingest for this task. Review https://www.openagentskill.com/api/skills/toolboxmd-karpathy-wiki-ingest/install, then install with: npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-ingestRegistry 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。
Agent 决策面板
Fallback candidate for RAG and knowledge
先用此 Skill 做原型验证,并保留备选方案。
栈中角色
备选候选
主要匹配
RAG and knowledge
信任标签
先做原型验证
安装路径
命令已就绪
适用场景
- RAG and knowledge 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
- 67/100 质量档案
- 9 个 OpenAgentSkill 交互事件
先审查
- SKILL.md is truncated in the provided excerpt, but the visible content is coherent and complete enough for evaluation.
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次RAG and knowledge任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 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。
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
- SKILL.md is truncated in the provided excerpt, but the visible content is coherent and complete enough for evaluation.
- 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。
工作流匹配
在这些场景使用此 Skill
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
工作流匹配
加入完整工作流
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
MoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Cua
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
概览
--- name: karpathy-wiki-ingest description: | For a detached wiki ingester only. The main agent never loads this. Defines orientation protocol, page format, role guardrail, validator contract, manifest protocol, and deterministic completion contract. Loaded by the provider-aware runtime worker. ---
# karpathy-wiki ingest (for detached runtime ingester only)
You are a detached wiki ingester invoked by the provider-aware runtime worker. Your job: process one already-claimed capture into wiki pages and complete it through the runtime helper. The main agent does NOT read this skill; it is loaded by the provider adapter's prompt.
Perform this ingest yourself. You must not launch or delegate the work to another model or agentic CLI. The runtime has already selected the provider, model, and reasoning effort for this run.
## Deep orientation
Before any wiki write, run this 9-step orientation protocol. The goal: your view of the wiki is shaped by the actual page content, not by titles alone.
### Steps 1-3: read the wiki's current state
1. Read `<wiki>/schema.md` — current categories, taxonomy, thresholds. 2. Read `<wiki>/index.md` (or `<wiki>/<category>/_index.md` per category) — what pages exist with one-line summaries. 3. Read the last ~10 entries of `<wiki>/log.md` — recent activity.
### Steps 4-7: pick and read 0-7 candidate pages
4. **Extract candidate signals from the capture.** From the body and frontmatter, gather: - Words and phrases from the capture title (lowercase, split on non-alphanumerics). - Frontmatter `tags:` list (if any). - For `chat-only` and `chat-attached` captures: meaningful nouns and proper-noun phrases from the body. Use judgment — you're an LLM, not a regex; pick names, identifiers, technical terms, version numbers. - For `raw-direct` captures: filename basename + the file's first 200 lines.
5. **Score candidates against the index.** A page is a candidate if ANY extracted signal: - Substring-matches its title (case-insensitive), OR - Matches a tag (exact, case-insensitive), OR - Appears in its `_index.md` one-line summary.
This is a deterministic substring + tag match — no embeddings, no semantic similarity. See "Why no embeddings / vector search" below for the rationale.
6. **Pick up to 7 candidates** ordered by: - Signal-match count (descending — more matches = stronger candidate). - Title length (ascending — shorter titles rank higher for the same match count; they tend to be more general / canonical). - Tie-break: alphabetical by title.
7. **Read all picked candidates in full.** Zero is a valid count for a small or fresh wiki — see "Cold start" below.
### Steps 8-9: decide and report observations
8. **Decide**: create new page, augment an existing page, or no-op (the capture's content is already covered by an existing page). Write your decision rationale into the commit message later.
9. **Issue reporting (during steps 5-7).** While reading the index and the candidate pages, observe issues. Append each as one JSONL line to `<wiki>/.ingest-issues.jsonl` via `bash "${WIKI_PLUGIN_ROOT}/scripts/wiki-issue-log.sh"`. Do NOT fix issues inline; report only — `wiki doctor` consumes the log later.
Example invocation:
```bash bash "${WIKI_PLUGIN_ROOT}/scripts/wiki-issue-log.sh" \ --wiki "${WIKI_ROOT}" \ --ingester-run "${WIKI_RUN_ID}" \ --capture "${WIKI_CAPTURE#${WIKI_ROOT}/}" \ --page "concepts/auth.md" \ --type broken-cross-link \ --severity warn \ --detail "Links to /concepts/legacy.md which does not exist." \ --suggested-action "Remove link or create stub" ```
Issue types to watch for (the `--type` enum in `wiki-issue-log.sh`): - **broken-cross-link**: page links to `/path/foo.md` but that file does not exist. - **contradiction**: page makes a claim that contradicts another page you're reading or the capture itself. - **schema-drift**: page has `type: concept` (singular) but directory is `concepts/`; page lacks required frontmatter; page uses retired categories. - **stale-claim**: page says "as of 2025-12 library X is at version Y" and the capture or another source clearly indicates a newer version. - **tag-drift**: same concept tagged two different ways across pages. - **quality-concern**: page's `quality.overall < 3.0` was rated by ingester (not human). - **orphan**: page exists but is not linked from any `_index.md` or other page. - **other**: anything else worth noting.
Severity: - **error**: blocks ingestion (rare — only if reading the schema or a candidate page fails outright). - **warn**: default. Issue noted; ingestion proceeds. - **info**: observational; usually for tag-drift or quality-concern.
Each issue gets one JSONL line, ≤ 4096 bytes total. Over-length `--detail` is auto-truncated by the helper.
### Cold start: wikis with ≤ 7 pages
When the candidate list from step 6 is empty or near-empty (the index has fewer than 8 pages total), step 7 reads few or no pages. The role guardrail in `<wiki>/.wiki-config` becomes the PRIMARY lens, not a backup tripwire:
- **`role: project` or `role: project-pointer`**: write specifics about THIS codebase / instance / situation. Document the symptom, the pinpoint, what code path triggered it. Do NOT generalize. - **`role: main`**: write general patterns reusable across projects. Do NOT name specific apps or instances; abstract them.
In the cold-start state the index has insufficient gravity to shape the page; the role hint carries the lens. Defer cross-linking to a future ingester run when more pages exist.
### Why no embeddings / vector search
The substring + tag match in step 5 is deterministic, scriptable, testable, and cheap. Embedding-based candidate selection is the "smart" upgrade but explicitly out of scope per CLAUDE.md ("do not add: vector search — defer until genuine scaling pain"). The substring/tag approach degrades gracefully — at large scale it hits more candidates than 7, but the ranking still produces a usable top-7. When that breaks, vector search becomes worth its complexity; not before.
### Cost
3-7 extra file reads per ingestion (zero on cold-start wikis). Each page is typically 5-20 KB. The ingester is already reading the capture and the schema; this is the same order of magnitude. No measurable spawn-time impact.
## Run record (per ingestion)
`WIKI_RUN_ID` is assigned before you start. Do not generate or replace it. The runtime wrapper owns the `started`, retry, failure, and `completed` records in `<wiki>/.ingest-runs.jsonl`; it also owns the heartbeat on `WIKI_CAPTURE` and the process-slot lease. Do not write run-history records yourself.
Use `WIKI_RUN_ID` only when another deterministic helper needs to tie an observation to the current run, such as `wiki-issue-log.sh`. A successful ingest is closed by the completion helper described in step 10. The wrapper writes `completed` only after it verifies both the archive and the provider's zero exit.
## Role guardrail
Read `<wiki>/.wiki-config` to determine the wiki's role:
- `role: project` or `role: project-pointer` → you are writing for a PROJECT wiki. Document specifics: how this app handles X, where bug Y lived, what we decided for this codebase. Do NOT generalize. - `role: main` → you are writing for the MAIN wiki. Extract general patterns reusable across projects. Do NOT name specific apps or instances.
The role field is the primary lens during cold start (≤ 7 pages in the wiki) and a sanity tripwire in mature wikis (the index pull is the primary lens once enough pages exist). See "Deep orientation — Cold start" above.
If the index pulls strongly toward instance-style or pattern-style writing (you read 5+ existing pages of one shape), trust the pull. The role hint then becomes a tripwire — *"if you find yourself generalizing in a project wiki / specifying in a main wiki, stop."*
## Capture format
See `<plugin>/skills/karpathy-wiki-capture/references/capture-schema.md` for the canonical capture frontmatter contract — `capture_kind` enum, body floors, evidence rules, legacy backward-compat. Do not duplicate that schema here.
## Page format
See `references/page-conventions.md` for the canonical page frontmatter and cross-link conventions.
All generated page metadata timestamps (`created`, `updated`, `rated_at`) must be real UTC values. In shell, generate them with `date -u +%Y-%m-%dT%H:%M:%SZ`. Never append `Z` to local wall-clock output.
## Body-sufficiency check (first thing — reject if too thin)
Before any other work, measure the capture body size in bytes (content AFTER the closing `---` of frontmatter). Apply the per-`capture_kind` floor:
- `raw-direct` → no floor (body is auto-generated boilerplate). - `chat-attached` → 1000 bytes. - `chat-only` → 1500 bytes.
Legacy captures (no `capture_kind`): apply backward-compat per `<plugin>/skills/karpathy-wiki-capture/references/capture-schema.md`.
If body is BELOW its floor:
1. Add `needs_more_detail: true` to the capture's frontmatter. 2. Add `needs_more_detail_reason: "body is <N> bytes; floor for capture_kind=<K> is <F> bytes"`. 3. Rename `.md.processing` → `.md` so the next session-start drain preserves it for the main agent to expand. The dispatcher skips marked captures until the main agent removes both deferral fields. 4. Append to `log.md`: `## [<timestamp>] reject | <capture-basename> — body <N>b below <F>b floor`. 5. Exit 0. Do NOT write pages. Do NOT commit.
A thin-capture rejection is a feature, not a failure.
## Ingester steps
1. **The capture is already claimed for you.** Read `${WIKI_CAPTURE}` (it's a `.md.processing` file). If for some reason `${WIKI_CAPTURE}` is unset or missing, call `wiki_capture_claim "${WIKI_ROOT}"` to grab any pending capture as fallback.
2. **Read the orientation files**: schema.md, index.md, last 10 entries of log.md (per the Orientation section above).
3. **Read the capture body.**
4. **Copy evidence with write-staging discipline (v2.4):**
Atomic write to `raw/` requires the staging dance (skip steps 1–2 and 7 if `evidence_type` is `conversation` AND the capture has no real path):
1. Copy the evidence file to `<wiki>/.raw-staging/<basename>` (NOT directly to `raw/`). 2. Compute the new sha256. 3. Acquire `<wiki>/.locks/manifest.lock` via `bash "${WIKI_PLUGIN_ROOT}/scripts/wiki-manifest-lock.sh" ...` for the manifest write + rename block. 4. Re-read the manifest under the lock. If `raw/<basename>` already exists with the same sha256, this is a duplicate — skip (apply the sha256 short-circuit below). 5. Update the manifest entry for `raw/<basename>` (origin, sha, copied_at, last_ingested, referenced_by). 6. Write the manifest atomically (`.manifest.json.tmp` + `os.rename`) — `wiki-manifest.py build` already does this. 7. Atomically rename `<wiki>/.raw-staging/<basename>` → `<wiki>/raw/<basename>` (POSIX rename is atomic on the same filesystem). 8. Release the lock. 9. If the source file is in `<wiki>/inbox/<basename>` (raw-direct via inbox queue), `rm` it.
Crash recovery: if the ingester crashes between steps 1 and 7, a file lingers in `.raw-staging/`. The SessionStart recovery scan SKIPS `.raw-staging/` (it's a reserved dot-prefixed directory). Future cleanup is `wiki doctor`'s responsibility.
- In ALL cases (including `chat-only` / legacy `conversation`): write or update the manifest entry for the raw file in `<wiki>/.manifest.json`: ```json { "raw/<basename>": { "sha256": "<sha256 of raw file>", "origin": "<exact value of capture's `evidence` field>", "copied_at": "<iso-8601 utc, preserve if already present>", "last_ingested": "<iso-8601 utc, now>", "referenced_by": ["<pages added to this list below>"]
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
仓库近期活跃
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。
- 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。
增长闭环
分享工具包
为 karpathy-wiki-ingest 准备的场景化草稿,可手动发布到 X。
karpathy-wiki-ingest: For a detached wiki ingester only. The main agent never loads this. Defines orientation proto... 101 stars https://www.openagentskill.com/skills/toolboxmd-karpathy-wiki-ingest?ref=x
可选:带安装命令的回复
Listing + install path for karpathy-wiki-ingest: https://www.openagentskill.com/skills/toolboxmd-karpathy-wiki-ingest?ref=x Install: npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-ingest
收录来源
Registry 收录
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。
[](https://www.openagentskill.com/skills/toolboxmd-karpathy-wiki-ingest)
[](https://www.openagentskill.com/skills/toolboxmd-karpathy-wiki-ingest)
[](https://www.openagentskill.com/skills/toolboxmd-karpathy-wiki-ingest/audit)
[](https://www.openagentskill.com/skills/toolboxmd-karpathy-wiki-ingest)作者
toolboxmd
@toolboxmd
平台适配
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
- 9
- 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
- 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
- 依赖与运行时风险命令执行范围信息
相关 Skill
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K StarsMoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsCua
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
21.4K Stars