karpathy-wiki-ingest

REVIEW · 62
Registry indexed

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
Stars101
Version1.0.0
Quality67/100 · Promising
Trust62/100 · Sandbox only
Audit77/100 · Needs review

Supply asset profile

Research and knowledge work

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

Browse track

Scenario

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-ingest

Maintenance

fresh

2d since push

Risk

Needs review

Permission surface may require sandboxing

GitHub quality

101

67/100 Quality · 70/100 Trust

Coverage tags

ResearchRAG and knowledgeautomationagent-skill

Review notes

Permission surface may require sandboxing · SKILL.md is truncated in the provided excerpt, but the visible content is coherent and complete enough for evaluation.

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
67

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
62

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
77

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

101 GitHub stars

Repo activity

101 stars, 24 forks

Maintenance

2d since push

License

MIT

Install

npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-ingest

Install safety

standard package or runtime install path

Permission surface

shell or command execution, filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • 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

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • RAG and knowledge workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Chunk documents

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-ingest
Policy
block
Human review
yes

Trust and risk

Trust
62/100
Audit
77/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add toolboxmd/karpathy-wiki --skill karpathy-wiki-ingest

Do not use when

  • teams that need a vendor-supported SLA
  • 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.
  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Permission surface may require sandboxing

Agent safety v2

33/100 · Avoid automatic install

Blocked for auto-installblock

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.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

high

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Permission surface may require sandboxing

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

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

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • 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.

Copy 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.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

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

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

69/100

RAG and knowledge

Platforms

Claude Code

Audit report

Needs review · 77/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for RAG and knowledge

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

69
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

RAG and knowledge

Trust label

Prototype first

Install path

Command ready

Use when

  • RAG and knowledge workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 67/100 quality profile
  • 8 OpenAgentSkill engagement events

review first

  • SKILL.md is truncated in the provided excerpt, but the visible content is coherent and complete enough for evaluation.

Implementation path

  1. 1Install it in a sandbox agent and run one RAG and knowledge task end to end.
  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.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

62
OpenAgentSkill Trust Score

GitHub adoption

INFO

101 GitHub stars

Stars/forks activity

CHECK

101 stars, 24 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • 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
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

67
GitHub stars
101
Freshness
2d ago
Install ready
Yes
License
MIT
Review before install: SKILL.md is truncated in the provided excerpt, but the visible content is coherent and complete enough for evaluation.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- 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>"]

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 20, 2026
Published
Aug 20, 2026

Decision snapshot

Fallback candidate

69
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

77
Needs review
Security
76/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for karpathy-wiki-ingest, ready for a manual X post.

Curator note
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
Open X draft
Optional reply with install command
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

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Creator
toolboxmd
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Author

T

toolboxmd

@toolboxmd

Platform fit

Health signals

GitHub stars
101
Quality score
37/100
Last GitHub push
Aug 20, 2026
Framework hints
Unknown
OpenAgentSkill views
8
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

62
  • GitHub adoption101 GitHub starsINFO
  • Stars/forks activity101 stars, 24 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance2d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surfaceINFO