A skill your agent uses when a PDF, URL, transcript, clipping, or raw note must become source-grounded, linked, governed knowledge in an Obsidian vault.

MITAuto-check passedKnowledge Management

Install Wiki Ingest

skills CLI
$ npx skills add Mark393295827/third-brain-v7-skills --skill wiki-ingest -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Mark393295827/third-brain-v7-skills wiki-ingest --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Mark393295827/third-brain-v7-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/wiki-ingest .claude/skills/wiki-ingest && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
wiki-ingest
GitHub stars
141
Token cost
~2k tokens
SKILL.md length
925 words
Files
2 (incl. references)
Skills in repo
21
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when a PDF, URL, transcript, clipping, or raw note must become source-grounded, linked, governed knowledge in an Obsidian vault.

  • Works in 5 steps: Verify source existence, type,… → Resolve configured directories; record… → Classify input as external fact, human… → …
  • Raw note must become source-grounded
  • SKILL.md covers Usage Template, Workflow, Failure Protocol and Output Contract, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Wiki Ingest is an agent skill from Mark393295827/third-brain-v7-skills. Use when a PDF, URL, transcript, clipping, or raw note must become source-grounded, linked, governed knowledge in an Obsidian vault.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/stow-contract.md`).

It sits in Knowledge Management, covering LLM wikis and Source-grounded notebooks. It works with Obsidian. The repository describes itself as: agent wiki +engineering skills. The licence is MIT.

When your agent uses it

  • Raw note must become source-grounded
  • Governed knowledge in an Obsidian vault

Example prompts

  • “/wiki-ingest”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Verify source existence, type, accessibility, date, and vault identity.
  2. Resolve configured directories; record defaults only when no config exists.
  3. Classify input as external fact, human experience, internal state, or environment signal.
  4. Assign source risk based on primary/secondary/mediated/self-reported status and freshness.
  5. Derive a source identity from canonical URL or source id, then hash/title/date

What it can do on your machine

Read from SKILL.md and the folder at commit 5a64514. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Wiki Ingest loads about 2k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 925 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Mark393295827/third-brain-v7-skills at commit 5a64514, republished under its MIT licence (© Mark393295827). 925 words, ~1,964 tokens.

Download SKILL.mdSave it as .claude/skills/wiki-ingest/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
wiki-ingest
description
Use when a PDF, URL, transcript, clipping, or raw note must become source-grounded, linked, governed knowledge in an Obsidian vault.
metadata.version
8.1.0
metadata.updated
2026-08-18
metadata.profile
high-risk
metadata.assumes
The source is accessible and the vault root plus write boundaries can be resolved.
metadata.conflicts_with
Invented provenance, modified immutable sources, unsupported concept promotion, or success claims without post-ingest checks.

Wiki Ingest

<skill_contract> <input>Accessible PDF, URL, transcript, clipping, or note plus vault root, topic, provenance, permissions, and lifecycle context.</input> <output>Immutable source evidence, linked concept and entity updates, navigation and lifecycle changes, and a verified ingest receipt.</output> <done>Touched files pass source, link, block-ref, frontmatter, lifecycle, understanding, and read-after-write checks.</done> <non_goals>Fabricated provenance, source mutation, raw-summary dumping, unsupported rule promotion, or unverified completion.</non_goals>

Use STOW: Source -> Transform -> Organize -> Write-back. The source is evidence, the concept page is current understanding, and the log is the receipt. Load references/stow-contract.md for schemas and lifecycle details.

Usage Template

Provide: source path/URL/note, vault root, intended topic, permissions, and whether the item came from a clipping queue. Optional: path config, prior canonical source, and desired behavior/skill candidate.

Workflow

<intake>
  1. Verify source existence, type, accessibility, date, and vault identity.
  2. Resolve configured directories; record defaults only when no config exists.
  3. Classify input as external fact, human experience, internal state, or environment signal.
  4. Assign source risk based on primary/secondary/mediated/self-reported status and freshness.
  5. Derive a source identity from canonical URL or source id, then hash/title/date fallbacks. Search canonical sources, concepts, and entities before creating files; record the identity query in the run ledger.
</intake>

<unknowns_gate>

If the source cannot be read, the vault is ambiguous, or provenance cannot be distinguished from mediation, return NEEDS_INPUT or INSUFFICIENT_EVIDENCE. Never fabricate author, date, URL, hash, source id, transcript text, or primary-source confidence.

</unknowns_gate>

<execute>

wiki-ingest owns one evidence-to-candidate transaction: immutable source capture, concept candidate, graph update plan, governance handoff, and clipping transition after verified commit. Cross-corpus deduplication, retrieval/index maintenance, and knowledge-debt queues belong to knowledge-ops; health scoring and generalized repair recommendations belong to wiki-lint.

  1. Source: create or identify one immutable source note; preserve raw content and archive locators. Extract 3-7 key insights with stable block references. For concurrent ingest, stage the candidate, recheck the source identity immediately before commit, and promote only one canonical path.
  2. Transform: separate direct claims, interpretations, contradictions, unknowns, and fast-changing facts. Mark single-source and self-reported claims.
  3. Organize: update existing entity/concept pages when possible. New concepts require a thesis, mechanism, boundary, counterpoint, source locator, and at least two meaningful links.
  4. Understand: answer what changed, what causes what, what this source may prove, what could make it wrong, and what reusable action follows. Raw summaries fail this gate.
  5. Navigate: update the relevant index/map and clipping lifecycle. Machine-owned snapshot blocks remain untouched.
  6. Convert: queue behavior, creativity, SOP, or skill candidates; apply the promotion gate before changing governed rules.
  7. Write-back: append evolution timeline and ingest log entries; never rewrite historical provenance. Give every machine log entry an idempotency key derived from run/batch, operation, canonical source identity, and target; a retry must not append the same logical receipt twice.
  8. Verify: run targeted link, source-ref, frontmatter, block-ref, empty-file, navigation, and post-write exact-identity checks over touched files. If a concurrent source appears, keep one canonical note, repoint derived links, and record reconciliation before claiming completion.

For material promotion or source ambiguity, require independent review and human approval. Prepare a rollback as a file-level diff; rollback may remove derived writes but must not erase original source evidence or logs.

</execute>
<evaluate>

Read touched files after write. Confirm the source exists, locators resolve, concepts pass the understanding gate, links are meaningful, clipping status is accurate, and logs match actual writes. Downgrade the result to partial when any required check is unavailable.

</evaluate>

<retry_policy>

max_attempts: 2. Retry only the failed stage after diagnosing path, parser, schema, or link cause. Change strategy before retry; stop on the same signature or NO_PROGRESS. Never duplicate source notes as a retry mechanism.

</retry_policy>

<state_contract>

Persist {run_id, status, attempt, budget, evidence, unknowns, last_error, next_action} plus source identity/risk, idempotency key, writer lease or compare-and-set evidence, vault fingerprint, resolved paths, touched-file ledger, created block refs, contradictions, reconciliation decisions, candidates, approval, clipping transition owner, and verification receipts. Source and log history are append-only.

</state_contract>

Show full SKILL.md (278 more words)Show less

Failure Protocol

  • NEEDS_INPUT: source or vault identity is ambiguous; ask one minimal probe.
  • INSUFFICIENT_EVIDENCE: the material cannot support the requested claim or concept.
  • BLOCKED_PERMISSION: return proposed writes and paths without claiming mutation.
  • VERIFY_FAILED: a post-ingest check fails; preserve evidence and repair only the failed stage.
  • NO_PROGRESS: repeated failure signature after changed strategy; stop and queue review.
  • BUDGET_STOP: persist coverage and remaining items. max_attempts: 2.

Output Contract

Return status, result (created/updated/queued files and understanding delta), evidence (source and lint receipts), unknowns, and next_action including approval or rollback when relevant.

Edge Cases

  • A clipping duplicates an existing source: link/archive it and add only new provenance or block locators; do not create a parallel canonical source.
  • Two workers discover no exact-URL match and race to create a source: the commit-time identity check selects one canonical note; remove only the uncommitted/staged duplicate, repoint derived links, and log reconciliation.
  • A retry sees its write-back idempotency key in the log: verify the existing receipt and return reused/no-op instead of appending another entry.
  • A mediated summary contains a precise changing number: preserve the summary, flag the number, and queue primary/current verification before promotion.

Success Metrics

  • Every derived claim traces to an immutable source locator.
  • Concurrent retries converge to one canonical source and one logical receipt.
  • Concepts add mechanism and boundary, not only summary.
  • Touched files pass targeted lint and appear in navigation or an explicit queue.

Quality Gates

  • Vault, source, and permissions were verified before write.
  • No provenance field or source content was invented.
  • Source identity was checked before and after write; log append was idempotent.
  • Understanding and promotion gates were applied.
  • Independent/approval/rollback controls match the change risk.
  • Post-ingest receipt matches actual filesystem state.

</skill_contract>

© Mark393295827, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/wiki-ingest of Mark393295827/third-brain-v7-skills.

  • SKILL.md
  • references/stow-contract.md

Open the folder on GitHubat commit 5a64514

Compare with similar skills

Wiki Ingest next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Wiki Ingest compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wiki Ingest this skillMark393295827/third-brain-v7-skills141—~2kAutomated safety check: PassMIT
LLM Wikilewislulu/llm-wiki-skill655—~3.7kAutomated safety check: PassNone
Codex History IngestAr9av/obsidian-wiki3.5k—~2.2kAutomated safety check: NotesMIT
LLM Wikizosmaai/pi-llm-wiki608—~4.4kAutomated safety check: PassMIT
LLM Wikipraneybehl/llm-wiki-plugin118—~5.7kAutomated safety check: PassMIT
Hermes History IngestAr9av/obsidian-wiki3.5k—~2.2kAutomated safety check: NotesMIT

Similar skills

  • LLM Wiki

    lewislulu/llm-wiki-skill

    Build and maintain a Karpathy-style LLM knowledge base — a self-compiling Obsidian markdown wiki where an Agent ingests raw sources, compiles cross-linked concept/entity/summary pages, answers…

    655 GitHub stars~3.7k tokensUpdated 5 mo ago
    Knowledge ManagementAuto-check passed
  • Codex History Ingest

    Ar9av/obsidian-wiki

    Ingest Codex CLI conversation/session history into Obsidian as distilled knowledge.

    3.5k GitHub stars~2.2k tokensUpdated yesterday
    Knowledge ManagementAuto-check: notes
  • LLM Wiki

    zosmaai/pi-llm-wiki

    Build and maintain a persistent, interlinked Obsidian-compatible markdown wiki using Karpathy's LLM Wiki pattern.

    608 GitHub stars~4.4k tokensUpdated today
    Knowledge ManagementAuto-check passed
  • LLM Wiki

    praneybehl/llm-wiki-plugin

    Build and maintain an LLM-curated knowledge base from papers, articles, transcripts, notes and project findings.

    118 GitHub stars~5.7k tokensUpdated 27 days ago
    Knowledge ManagementAuto-check passed
  • Hermes History Ingest

    Ar9av/obsidian-wiki

    Ingest Hermes agent history into Obsidian as distilled knowledge.

    3.5k GitHub stars~2.2k tokensUpdated yesterday
    Knowledge ManagementAuto-check: notes
  • Karpathy Wiki

    SherwinQ/karpathy-wiki

    A skill your agent uses when building or maintaining a personal knowledge base with LLM assistance.

    114 GitHub stars~967 tokensUpdated 5 mo ago
    Knowledge ManagementAuto-check passed

More from Mark393295827/third-brain-v7-skills

All 21 skills in this repo
  • Loop Engineering

    Mark393295827/third-brain-v7-skills

    A skill your agent uses when a repeatable task must become a bounded Trigger - Execute - Verify - State loop, scheduled automation, goal agent, or metric-driven research cycle.

    141 GitHub stars~1.9k tokensUpdated 21 days ago
    Auto-check passed
  • Graph Engineering

    Mark393295827/third-brain-v7-skills

    A skill your agent uses when a workflow has explicit data dependencies, independently executable branches, typed joins, or node-local recovery needs that justify a bounded static dependency graph.

    141 GitHub stars~1.9k tokensUpdated 21 days ago
    Auto-check passed
  • Harness Engineering

    Mark393295827/third-brain-v7-skills

    A skill your agent uses when an agent workflow needs production-like runtime controls for context, tools, permissions, observability, scheduling, evaluation, recovery, or maintenance.

    141 GitHub stars~2.2k tokensUpdated 21 days ago
    Auto-check passed
  • Agent Teams Command

    Mark393295827/third-brain-v7-skills

    A skill your agent uses when work has genuinely independent streams or distinct builder, evaluator, domain, and integration roles that require bounded multi-agent command scaled from 5 to 100+ agents.

    141 GitHub stars~1.7k tokensUpdated 21 days ago
    Auto-check passed
  • AI Six Sigma Property Os

    Mark393295827/third-brain-v7-skills

    A skill your agent uses when property-service operations need an AI plus ontology plus DMAIC design for work orders, dispatch, quotes, evidence, CTQ metrics, and control dashboards.

    141 GitHub stars~1.4k tokensUpdated 21 days ago
    Auto-check passed
  • Anthropic Os

    Mark393295827/third-brain-v7-skills

    A skill your agent uses when a personal or team operating system needs a bounded redesign using Four-C, closed-loop controls, 70/30 allocation, 3B creativity, experiments, and prediction-error…

    141 GitHub stars~1.6k tokensUpdated 21 days ago
    Auto-check passed

Works with

Questions about Wiki Ingest

What does Wiki Ingest do?

A skill your agent uses when a PDF, URL, transcript, clipping, or raw note must become source-grounded, linked, governed knowledge in an Obsidian vault. Wiki Ingest is an agent skill from Mark393295827/third-brain-v7-skills. Use when a PDF, URL, transcript, clipping, or raw note must become source-grounded, linked, governed knowledge in an Obsidian vault.

When should I use Wiki Ingest?

Wiki Ingest fits situations like: raw note must become source-grounded; governed knowledge in an Obsidian vault.

How do I install Wiki Ingest in Claude Code?

Run `npx skills add Mark393295827/third-brain-v7-skills --skill wiki-ingest -a claude-code`. Or copy the skill folder (skills/wiki-ingest in Mark393295827/third-brain-v7-skills) into .claude/skills/wiki-ingest in your project. Claude Code loads it when a task matches its description.

How do I install Wiki Ingest in Codex?

Run `npx skills add Mark393295827/third-brain-v7-skills --skill wiki-ingest -a codex`. Or copy the skill folder (skills/wiki-ingest in Mark393295827/third-brain-v7-skills) into .agents/skills/wiki-ingest in your project. Codex loads it when a task matches its description.

Can I use Wiki Ingest in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Mark393295827/third-brain-v7-skills --skill wiki-ingest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wiki-ingest, .gemini/skills/wiki-ingest, .github/skills/wiki-ingest and .opencode/skills/wiki-ingest in your project.

What does Wiki Ingest need to run?

SKILL.md names no scripts, command-line tools or credentials: Wiki Ingest is instructions for the agent only.

Does Wiki Ingest access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Wiki Ingest safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Wiki Ingest use?

Wiki Ingest is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Wiki Ingest use?

About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 920 tokens, read only when the agent opens those files.

What are the alternatives to Wiki Ingest?

Skills that share tags, products or a category with Wiki Ingest: LLM Wiki (lewislulu/llm-wiki-skill, 655 stars), Codex History Ingest (Ar9av/obsidian-wiki, 3.5k stars), LLM Wiki (zosmaai/pi-llm-wiki, 608 stars) and LLM Wiki (praneybehl/llm-wiki-plugin, 118 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wiki Ingest?

Mark393295827 (a GitHub user) maintains it in Mark393295827/third-brain-v7-skills, which has 141 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on September 19, 2026.

Source: Mark393295827/third-brain-v7-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.