karpathy-wiki-read
Read protocol for the main agent. Load on demand when answering ANY user question (per Iron Rule 4 in `using-karpathy-wiki/SKILL.md`). Defines the deterministic 6-step orientation ladder for finding wiki coverage of a question, when to inline-read vs spawn an Explore subagent vs
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 + CLI + Codex
Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.
Pasang
Siap
npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-read
Pemeliharaan
Terkini
3 hari sejak push
Risiko
Aman untuk dicoba
Quality score needs review
Kualitas GitHub
101
67/100 Kualitas · 81/100 Kepercayaan
Tag cakupan
Catatan ulasan
Quality score needs review · Stars/forks activity: 101 stars, 24 forks; issue activity unavailable in current metadata
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
Aman untuk dicobaTinjauan 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
3 hari sejak push
Lisensi
MIT
Pasang
npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-read
Keamanan pemasangan
Jalur pemasangan paket atau runtime standar
Cakupan izin
Akses database
Hasil Agent
Belum ada data hasil Agent
Dokumentasi
Konteks README/SKILL.md kuat
Ringkasan risiko
Tinjau sebelum produksi
- Quality score needs review
- 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 karpathy-wiki-read
- Kebijakan
- Tinjau
- Tinjauan manusia
- Ya
Kepercayaan dan risiko
- Kepercayaan
- 73/100
- Audit
- 82/100
- Tingkat risiko
- Aman untuk dicoba
Lingkar hasil
- Endpoint
- /api/agent/outcome
- ID event
- resolve
- Hasil
- 5
Perintah pemasangan
npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-readJangan gunakan ketika
- Tim yang membutuhkan SLA dengan dukungan vendor
- Lingkungan berkompliansi tinggi tanpa tinjauan keamanan internal
- No major risk signals from current metadata
- Quality score needs review
- Stars/forks activity: 101 stars, 24 forks; issue activity unavailable in current metadata
Skill alternatif
Last30days Skill
53.5K Star
npx skills add mvanhorn/last30days-skill -g
Skill alternatif
Academic Research Skills
38.4K Star
npx skills add Imbad0202/academic-research-skills
Skill alternatif
GPT Researcher
28.0K Star
npx skills add assafelovic/gpt-researcher
Skill alternatif
DeepResearch
19.8K Star
npx skills add Alibaba-NLP/DeepResearch
Keamanan Agent v2
62/100 · Tinjau sebelum memasang
Kandidat yang dapat digunakan, tetapi Agent harus menampilkan catatan izin dan audit sebelum memasang.
Memerlukan persetujuan manusia sebelum memasang ke workspace nyata.
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.
- Quality score needs review
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-karpathy-wiki-readRencana 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%20karpathy-wiki-read%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20karpathy-wiki-read%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/toolboxmd-karpathy-wiki-read/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 karpathy-wiki-read in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20karpathy-wiki-read%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/toolboxmd-karpathy-wiki-read/install
Install command: npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-read
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-karpathy-wiki-read/install
Format teks LLM
/api/skills/toolboxmd-karpathy-wiki-read/install?format=text
Cari alternatif
/api/skills/search?q=karpathy-wiki-read&limit=3
Prompt Agent
Use karpathy-wiki-read for this task. Review https://www.openagentskill.com/api/skills/toolboxmd-karpathy-wiki-read/install, then install with: npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-readMetadata 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-karpathy-wiki-read
Teks LLM
/api/registry/manifest/toolboxmd-karpathy-wiki-read?format=text
Alias pemasangan
/api/registry/install/toolboxmd-karpathy-wiki-read
Rekomendasikan
/api/registry/recommend?task=Use%20karpathy-wiki-read%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
Agent riset
Tag use case
Platform
Claude Code
Laporan audit
Aman untuk dicoba · 82/100
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 67/100
- 8 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
Lulus3 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
- Quality score needs review
- Stars/forks activity: 101 stars, 24 forks; issue activity unavailable in current metadata
- 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.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Parse messy files
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
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.
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.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Daftar alternatif
Bandingkan sebelum memasang
Similar skills that may fit this task.
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Ringkasan
--- name: karpathy-wiki-read description: | Read protocol for the main agent. Load on demand when answering ANY user question (per Iron Rule 4 in `using-karpathy-wiki/SKILL.md`). Defines the deterministic 6-step orientation ladder for finding wiki coverage of a question, when to inline-read vs spawn an Explore subagent vs fall through to web search, and the cite contract every wiki-grounded answer must satisfy. ---
# karpathy-wiki read
You loaded this skill because the user asked a question (per Iron Rule 4 in the loader: NO ANSWERING ANY USER QUESTION WITHOUT ORIENTING FIRST). Your job is to determine whether the wiki covers the answer, retrieve the coverage, and either cite-and-answer from the wiki or fall through to web search — without ever pre-classifying the question as "wiki-irrelevant."
## The 6-step ladder
Every step is deterministic. There is no agent judgement at branch points; each branch is gated on a counted or boolean condition.
### Step A — Orient
Read these files in order:
1. `<wiki>/schema.md` — taxonomy, conventions, thresholds. 2. The relevant `<wiki>/<category>/_index.md` for the question's apparent topic. If the question crosses categories or you cannot tell which category applies, read `<wiki>/index.md` (the root MOC).
If you have already oriented earlier in this session, skip to Step B — the schema and index content are already in your working memory. Orientation is once per session.
### Step B — Count signal-matching candidates
Extract the question's signal terms: meaningful nouns, proper-noun phrases, technical terms, version numbers, tool names. Skip stopwords ("the", "what", "how", "do", "is").
Walk the relevant `_index.md` (already in memory from Step A). A page is a candidate if ANY signal term:
- Substring-matches its title (case-insensitive), OR - Matches a tag (exact, case-insensitive), OR - Appears in its one-line summary.
Count the candidates. Branch on count:
- **0 candidates** → Step F (cold-result path) - **1-5 candidates** → Step C (inline read) - **6+ candidates** → Step E (Explore subagent)
The threshold is 5/6, not your judgement. Do not "feel" your way to a different branch.
### Step C — Inline read
Read all candidate pages in full. After reading, ask exactly:
> Does the union of these pages contain every claim my answer would make?
Branch on the answer:
- **YES** → cite + answer (see "Cite contract" below). Done. - **NO** → Step D (gap-fill via web search).
### Step D — Gap-fill via web search
The wiki covered part of the answer; the rest needs fresh information. For each claim your answer would make that the wiki did NOT cover:
1. Web search for the specific claim (use `WebFetch` or `WebSearch`). 2. Cite the web source(s) for the gap-filled claim.
Compose the answer using BOTH the wiki citations (for what it covered) and the web citations (for what it didn't).
After answering, **always** write a capture noting the gap. The wiki should grow toward questions it failed to answer fully. The capture's title is the question; the body documents what the wiki had and what was missing. Use `karpathy-wiki-capture/SKILL.md` for the capture authoring procedure.
### Step E — Explore subagent
Spawn an Explore subagent with this prompt shape:
> Question: `<the user's question, verbatim>` > > Wiki path: `<wiki absolute path>` > > Run the orient procedure (read schema.md and the relevant _index.md), identify candidate pages by signal-term match, read all candidates in full (no cap on page count — your context is isolated), and return a synthesis. > > The synthesis must: > - Cite every page it draws from (path + one-line relevance note per page). > - Cover the question completely (no truncation for brevity if the answer is genuinely long). > - Be as terse as possible while preserving every wiki-specific claim, decision, and contradiction. Terseness is a property of the writing, not a target word count. > - If the wiki does not cover the question, say so explicitly and return an empty page-list. Do NOT attempt to fall through to web search yourself; the main agent handles that.
When the subagent returns:
- **If it returned a synthesis with cited pages** → use the synthesis as the answer's basis. Add conversational framing as needed. Cite the pages the subagent cited. - **If it reported "wiki does not cover"** → Step D (web search + capture the gap).
The subagent dispatch maps to the patterns in your `~/.claude/CLAUDE.md` Task Delegation rule: this is a context-isolation case where the main agent needs the synthesis, not the page contents.
### Step F — Cold result (no candidates)
Zero signal matches in `_index.md`. The wiki has no coverage for this question.
1. Web search for the answer (`WebFetch` or `WebSearch`). 2. Cite the web source(s) in the answer. 3. **Always** write a capture so the next session is not cold for this topic. The capture's title is the question; the body documents what was found and where (the URLs you searched). Use `karpathy-wiki-capture/SKILL.md`.
A cold result is not a failure — it is the wiki telling you it has a gap, and you closing the gap.
## Cite contract
Every wiki-grounded answer must include citations the user can verify. Format:
- For each wiki page you drew from: cite as `<wiki>/<category>/<page>.md` followed by a brief relevance note OR a short quote (≤2 lines). - For each web source you drew from: cite as `[<title>](<url>)`. - Citations appear inline near the claim they support, not in a footer block, so the user can check each claim against its source.
If your answer makes a claim with no citation, that claim came from training data — flag it explicitly: *"(from training data; not in wiki)."* This is the **only** case where uncited claims are allowed, and they must be flagged.
## What goes in this skill — and what doesn't
This skill covers the read-from-wiki protocol only. It does NOT cover:
- Capture authoring (when a question reveals a wiki gap, the capture flow lives in `karpathy-wiki-capture/SKILL.md`). - Page-format conventions, manifest protocol, validator contract — those live in `karpathy-wiki-ingest/SKILL.md` and apply only to the spawned ingester. - Iron laws and the orient-first rule itself — those live in the loader (`using-karpathy-wiki/SKILL.md`).
If you find yourself needing capture or ingest mechanics while running this protocol, load the appropriate sibling skill — do not improvise.
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
- 87/100
- 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 karpathy-wiki-read, siap untuk posting manual di X.
karpathy-wiki-read: Read protocol for the main agent. Load on demand when answering ANY user question (per Iron R... 101 stars https://www.openagentskill.com/skills/toolboxmd-karpathy-wiki-read?ref=x
Balasan opsional dengan perintah pemasangan
Listing + install path for karpathy-wiki-read: https://www.openagentskill.com/skills/toolboxmd-karpathy-wiki-read?ref=x Install: npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-read
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-karpathy-wiki-read)
[](https://www.openagentskill.com/skills/toolboxmd-karpathy-wiki-read)
[](https://www.openagentskill.com/skills/toolboxmd-karpathy-wiki-read/audit)
[](https://www.openagentskill.com/skills/toolboxmd-karpathy-wiki-read)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
- 8
- 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 terbaru3 hari sejak pushLulus
- Kejelasan lisensiMITLulus
- Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
- Risiko dependensi/runtimeTidak ada petunjuk risiko dependensi besar dalam metadata publikLulus
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