karpathy-wiki-ingest

Tinjau · 62
Diindeks di Registry

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.

Verified installs0
Star101
Versi1.0.0
Kualitas67/100 · Menjanjikan
Kepercayaan62/100 · Hanya sandbox
Audit77/100 · Perlu ditinjau

Profil aset

Riset dan pekerjaan pengetahuan

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

Lihat kategori

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

RisetRAG and knowledgeautomationagent-skill

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

Menjanjikan
67

Useful candidate, but compare it with alternatives before adopting.

Kepercayaan

Hanya sandbox
62

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

Audit

Perlu ditinjau
77

Tinjauan 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.

CodexClaude CodeCursorOpenAgentSkill CLI

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.

Buka JSON

Tugas yang sesuai

  • alur kerja RAG and knowledge
  • Tim Claude Code
  • builders willing to evaluate younger projects
  • Chunk documents

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLICLI

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-ingest

Jangan 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

Blocked for auto-installBlokir

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.

Selesaikan via API

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.

skill install

OpenAgentSkill CLI

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

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

Rencana 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 rencana teks

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.

Buka API pemasangan

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-ingest

Metadata Registry

Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka Manifest

Kecocokan Agent

69/100

RAG and knowledge

Platform

Claude Code

Laporan audit

Perlu ditinjau · 77/100

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Lihat laporan auditLihat laporan evaluasi

Panel keputusan Agent

Fallback candidate for RAG and knowledge

Prototype with this skill first; keep a fallback candidate ready.

69
Kesiapan
Prototipe
Tahap

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

  1. 1Pasang di Agent sandbox dan jalankan satu tugas RAG and knowledge dari awal hingga akhir.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Profil kepercayaan

Hanya sandbox

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

62
Trust Score OpenAgentSkill

Adopsi GitHub

Info

101 star GitHub

Aktivitas star/fork

Periksa

101 star dan 24 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

2 hari sejak push

Kejelasan lisensi

Lulus

MIT

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.

67
Star GitHub
101
Keterkinian
2 hari lalu
Siap dipasang
Ya
Lisensi
MIT
Tinjau sebelum memasang: SKILL.md is truncated in the provided excerpt, but the visible content is coherent and complete enough for evaluation.

Kecocokan alur kerja

Gunakan skill ini pada skenario berikut

Kecocokan alur kerja

Tambahkan ke alur kerja lengkap

Daftar alternatif

Bandingkan sebelum memasang

Similar skills that may fit this task.

Bandingkan semua

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

69
Siap
Prototipe
Tahap

recent repository activity

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

77
Perlu ditinjau
Keamanan
76/100
Pemeliharaan
100/100
Pasang
92/100
Buka audit lengkapLihat laporan evaluasi

Bukti tervalidasi Agent

Bukti tervalidasi Agent

Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.

0
Terbukti
Needs first agent runPasang otomatis: tinjau duluTerakhir: Tidak diketahui
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

X

Draf berbasis skenario untuk karpathy-wiki-ingest, siap untuk posting manual di X.

Catatan kurator
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
Buka draf 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
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator
toolboxmd
Diindeks oleh
Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim 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.

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

Penulis

T

toolboxmd

@toolboxmd

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

62
  • 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