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.
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
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
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
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA 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.
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.
Suited tasks
- RAG and knowledge workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Chunk documents
Suited agents
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-ingestDo 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
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.
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.
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-ingestAgent 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 JSON
/api/agent/resolve?task=Use%20karpathy-wiki-ingest%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20karpathy-wiki-ingest%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/toolboxmd-karpathy-wiki-ingest/install
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.
Install handoff
/api/skills/toolboxmd-karpathy-wiki-ingest/install
LLM text format
/api/skills/toolboxmd-karpathy-wiki-ingest/install?format=text
Find alternatives
/api/skills/search?q=karpathy-wiki-ingest&limit=3
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-ingestRegistry 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.
Manifest
/api/registry/manifest/toolboxmd-karpathy-wiki-ingest
LLM text
/api/registry/manifest/toolboxmd-karpathy-wiki-ingest?format=text
Install alias
/api/registry/install/toolboxmd-karpathy-wiki-ingest
Recommend
/api/registry/recommend?task=Use%20karpathy-wiki-ingest%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 77/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for RAG and knowledge
Prototype with this skill first; keep a fallback candidate ready.
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
- 1Install it in a sandbox agent and run one RAG and knowledge task end to end.
- 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.
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.
GitHub adoption
INFO101 GitHub stars
Stars/forks activity
CHECK101 stars, 24 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT
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.
Workflow fit
Use this skill in these scenarios
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.
Workflow fit
Add it to a complete workflow
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.
Alternative shortlist
Compare before you install
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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
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 76/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- 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
Scenario-led draft for karpathy-wiki-ingest, ready for a manual X post.
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
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
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- toolboxmd
- Source
- toolboxmd/karpathy-wiki
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to toolboxmd but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](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)Author
toolboxmd
@toolboxmd
Tags
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
- 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
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