using-karpathy-wiki
Auto-loaded by the SessionStart hook. Defines when to capture and routes the main agent or detached ingester to the appropriate on-demand skill.
Profil aset
Riset dan pekerjaan pengetahuan
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Skenario
Agent riset
I need my agent to research a topic, compare sources, and produce a concise report.
Kecocokan Agent
Claude Code + OpenAI Agents + CLI
Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.
Pasang
Siap
npx skills add toolboxmd/karpathy-wiki --skill using-karpathy-wiki
Pemeliharaan
Terkini
2 hari sejak push
Risiko
Perlu ditinjau
Permission surface may require sandboxing
Kualitas GitHub
101
66/100 Kualitas · 76/100 Kepercayaan
Tag cakupan
Catatan ulasan
Permission surface may require sandboxing · Financial research output is not financial advice; require human review before any live investment decision
Kartu adopsi Agent
Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat
Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.
Kualitas
MenjanjikanUseful candidate, but compare it with alternatives before adopting.
Kepercayaan
Hanya sandboxKandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.
Audit
Perlu ditinjauTinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Trust Score OpenAgentSkill v5
Tinjauan manusia sebelum pemasangan
Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.
Star
101 star GitHub
Aktivitas repositori
101 star dan 24 fork
Pemeliharaan
2 hari sejak push
Lisensi
MIT
Pasang
npx skills add toolboxmd/karpathy-wiki --skill using-karpathy-wiki
Keamanan pemasangan
Jalur pemasangan paket atau runtime standar
Cakupan izin
shell or command execution, filesystem or document access
Hasil Agent
Belum ada data hasil Agent
Dokumentasi
Konteks README/SKILL.md kuat
Ringkasan risiko
Tinjau sebelum produksi
- 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
Kesiapan pemasangan
Jalur pemasangan tersedia
- Jalur pemasangan tersedia
- Bukti repositori tersedia
- Lisensi dinyatakan
- Belum ada bukti hasil Agent-Proven
Metadata yang dapat dibaca Agent
Data keputusan yang dapat dibaca mesin untuk skill ini.
Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.
Tugas yang sesuai
- Alur kerja Agent riset
- Tim Claude Code
- builders willing to evaluate younger projects
- Sumber pencarian
Agent yang sesuai
Keputusan pemasangan
- Perintah
- npx skills add toolboxmd/karpathy-wiki --skill using-karpathy-wiki
- Kebijakan
- Tinjau
- Tinjauan manusia
- Ya
Kepercayaan dan risiko
- Kepercayaan
- 68/100
- Audit
- 79/100
- Tingkat risiko
- Perlu ditinjau
Lingkar hasil
- Endpoint
- /api/agent/outcome
- ID event
- resolve
- Hasil
- 5
Perintah pemasangan
npx skills add toolboxmd/karpathy-wiki --skill using-karpathy-wikiJangan gunakan ketika
- Tim yang membutuhkan SLA dengan dukungan vendor
- Lingkungan berkompliansi tinggi tanpa tinjauan keamanan internal
- No major risk signals from current metadata
- Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
- Permission surface may require sandboxing
Keamanan Agent v2
47/100 · Hindari pemasangan otomatis
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Tinggi
Eksekusi shell atau perintah
Metadata skill merujuk terminal, CLI, shell, subprocess, atau alur kerja eksekusi perintah.
Sedang
Akses jaringan
Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.
Sedang
Akses sistem file
Skill dapat membaca atau menulis file proyek, dokumen, artefak yang dihasilkan, atau status workspace lokal.
Sedang
Akses database
Skill dapat memeriksa skema, mengkueri database, atau bekerja dengan penyimpanan persisten.
- Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
- Permission surface may require sandboxing
Target pemasangan
Pasang skill ini di alur Agent Anda
Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.
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-wikiRencana resolusi Agent
Biarkan Agent memverifikasi kecocokan sebelum memasang.
API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.
Buka JSON
/api/agent/resolve?task=Use%20using-karpathy-wiki%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20using-karpathy-wiki%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/toolboxmd-using-karpathy-wiki/install
Agent harus memeriksa
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Salin prompt
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.Serah-terima Agent
Berikan jalur pemasangan kepada Agent, bukan direktori lain.
Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.
Serah-terima pemasangan
/api/skills/toolboxmd-using-karpathy-wiki/install
Format teks LLM
/api/skills/toolboxmd-using-karpathy-wiki/install?format=text
Cari alternatif
/api/skills/search?q=using-karpathy-wiki&limit=3
Prompt Agent
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-wikiMetadata Registry
Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.
API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.
Manifest
/api/registry/manifest/toolboxmd-using-karpathy-wiki
Teks LLM
/api/registry/manifest/toolboxmd-using-karpathy-wiki?format=text
Alias pemasangan
/api/registry/install/toolboxmd-using-karpathy-wiki
Rekomendasikan
/api/registry/recommend?task=Use%20using-karpathy-wiki%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
Agent riset
Tag use case
Platform
Claude Code, OpenAI Agents
Laporan audit
Perlu ditinjau · 79/100
Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Panel keputusan Agent
Fallback candidate for Research agents
Prototype with this skill first; keep a fallback candidate ready.
Peran di stack
Kandidat cadangan
Kecocokan utama
Agent riset
Label kepercayaan
Buat prototipe dulu
Jalur pemasangan
Perintah siap
Gunakan saat
- Alur kerja Agent riset
- Tim Claude Code
- builders willing to evaluate younger projects
Bukti
- recent repository activity
- install command or GitHub repo available
- profil kualitas 66/100
- 7 event interaksi OpenAgentSkill
tinjau dulu
- No major risk signals from current metadata
Jalur implementasi
- 1Pasang di Agent sandbox dan jalankan satu tugas Agent riset dari awal hingga akhir.
- 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.
Profil kepercayaan
Hanya sandbox
Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.
Adopsi GitHub
Info101 star GitHub
Aktivitas star/fork
Periksa101 star dan 24 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus2 hari sejak push
Kejelasan lisensi
LulusMIT
Sinyal positif
- Tinjauan AI disetujui
- Jalur pemasangan tersedia
- Bukti repositori tersedia
- Repositori yang baru dipelihara
- Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
- Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama
Tinjau sebelum memasang
- 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
- Belum ada laporan hasil Agent nyata
- Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan
Tindakan yang disarankan
Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.
Profil kualitas
Menjanjikan kandidat untuk alur kerja Agent
Useful candidate, but compare it with alternatives before adopting.
Kecocokan alur kerja
Gunakan skill ini pada skenario berikut
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Kecocokan alur kerja
Tambahkan ke alur kerja lengkap
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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.
Daftar alternatif
Bandingkan sebelum memasang
Similar skills that may fit this task.
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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).
Ringkasan
--- 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.
Detail teknis
- Versi
- 1.0.0
- Lisensi
- MIT
- Pembaruan terakhir
- 20 Agu 2026
- Diterbitkan
- 20 Agu 2026
Ringkasan keputusan
Kandidat cadangan
recent repository activity
Audit
Tinjauan pemasangan
Tinjauan pemasangan dan adopsi
- Keamanan
- 79/100
- Pemeliharaan
- 100/100
- Pasang
- 92/100
Bukti tervalidasi Agent
Bukti tervalidasi Agent
Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.
- Tingkat sukses
- —
- Kegagalan terbaru
- —
- Hasil
- 0
- Kualitas output
- —
- Gagal
- 0
- Tidak relevan
- 0
- Pemasangan
- 0
- Diblokir risiko
- 0
- Perlu penyiapan
- 0
- Produksi
- 0
Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.
Pasang
Tambahkan ke alur Agent
Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.
Siklus pertumbuhan
Kit berbagi
Draf berbasis skenario untuk using-karpathy-wiki, siap untuk posting manual di X.
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
Balasan opsional dengan perintah pemasangan
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
Sumber listing
Diindeks Registry
Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.
- Kreator
- toolboxmd
- Sumber
- toolboxmd/karpathy-wiki
- Diindeks oleh
- Indeks komunitas OpenAgentSkill
Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.
Klaim skill iniKlaim pemilik
Klaim listing skill ini
Listing Diindeks Registry ini dikaitkan dengan toolboxmd, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.
Kit backlink kreator
Tambahkan badge bukti ke README Anda
Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.
[](https://www.openagentskill.com/skills/toolboxmd-using-karpathy-wiki)
[](https://www.openagentskill.com/skills/toolboxmd-using-karpathy-wiki)
[](https://www.openagentskill.com/skills/toolboxmd-using-karpathy-wiki/audit)
[](https://www.openagentskill.com/skills/toolboxmd-using-karpathy-wiki)Penulis
toolboxmd
@toolboxmd
Tag
Kecocokan platform
Sinyal kesehatan
- Star GitHub
- 101
- Skor kualitas
- 37/100
- Push GitHub terakhir
- 20 Agu 2026
- Petunjuk framework
- Tidak diketahui
- Tampilan OpenAgentSkill
- 7
- Salinan pemasangan
- 0
- Klik keluar
- 0
Sinyal komunitas
Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.
Kepercayaan & keamanan
Hanya sandbox
- Adopsi GitHub101 star GitHubInfo
- Aktivitas star/fork101 star dan 24 fork; aktivitas issue tidak tersedia dalam metadata saat iniPeriksa
- Pemeliharaan terbaru2 hari sejak pushLulus
- Kejelasan lisensiMITLulus
- Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
- Risiko dependensi/runtimecommand execution surface, network or browser surfaceInfo
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