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.
Profil aset
Riset dan pekerjaan pengetahuan
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Skenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
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-ingest
Pemeliharaan
Terkini
2 hari sejak push
Risiko
Perlu ditinjau
Permission surface may require sandboxing
Kualitas GitHub
101
67/100 Kualitas · 70/100 Kepercayaan
Tag cakupan
Catatan ulasan
Permission surface may require sandboxing · SKILL.md is truncated in the provided excerpt, but the visible content is coherent and complete enough for evaluation.
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 karpathy-wiki-ingest
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
- 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
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 RAG and knowledge
- Tim Claude Code
- builders willing to evaluate younger projects
- Chunk documents
Agent yang sesuai
Keputusan pemasangan
- Perintah
- npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-ingest
- Kebijakan
- Blokir
- Tinjauan manusia
- Ya
Kepercayaan dan risiko
- Kepercayaan
- 62/100
- Audit
- 77/100
- Tingkat risiko
- Perlu ditinjau
Lingkar hasil
- Endpoint
- /api/agent/outcome
- ID event
- resolve
- Hasil
- 5
Perintah pemasangan
npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-ingestJangan gunakan ketika
- Tim yang membutuhkan SLA dengan dukungan vendor
- 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.
- Petunjuk izin berisiko tinggi: Shell or command execution, Secrets or environment access
- Permission surface may require sandboxing
Keamanan Agent v2
33/100 · Hindari pemasangan otomatis
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.
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.
Tinggi
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- Petunjuk izin berisiko tinggi: Shell or command execution, Secrets or environment access
- 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-karpathy-wiki-ingestRencana 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-ingest%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20karpathy-wiki-ingest%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/toolboxmd-karpathy-wiki-ingest/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-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.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-ingest/install
Format teks LLM
/api/skills/toolboxmd-karpathy-wiki-ingest/install?format=text
Cari alternatif
/api/skills/search?q=karpathy-wiki-ingest&limit=3
Prompt Agent
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-ingestMetadata 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-ingest
Teks LLM
/api/registry/manifest/toolboxmd-karpathy-wiki-ingest?format=text
Alias pemasangan
/api/registry/install/toolboxmd-karpathy-wiki-ingest
Rekomendasikan
/api/registry/recommend?task=Use%20karpathy-wiki-ingest%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
RAG and knowledge
Tag use case
Platform
Claude Code
Laporan audit
Perlu ditinjau · 77/100
Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Panel keputusan Agent
Fallback candidate for RAG and knowledge
Prototype with this skill first; keep a fallback candidate ready.
Peran di stack
Kandidat cadangan
Kecocokan utama
RAG and knowledge
Label kepercayaan
Buat prototipe dulu
Jalur pemasangan
Perintah siap
Gunakan saat
- alur kerja RAG and knowledge
- 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
- SKILL.md is truncated in the provided excerpt, but the visible content is coherent and complete enough for evaluation.
Jalur implementasi
- 1Pasang di Agent sandbox dan jalankan satu tugas RAG and knowledge 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
- 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
- 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
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.
Kecocokan alur kerja
Tambahkan ke alur kerja lengkap
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.
Daftar alternatif
Bandingkan sebelum memasang
Similar skills that may fit this task.
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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: 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>"]
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
- 76/100
- 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-ingest, siap untuk posting manual di 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
Balasan opsional dengan perintah pemasangan
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
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-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)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
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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/runtimeCakupan eksekusi perintahInfo
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