wiki-ingest

wiki-ingest is a skill for Claude Code from CarbeneAI/Forge. It costs 81 tokens per session (1,923 once invoked), scanned A, original, MIT.

A source-ingestion tool that reads files or web pages and adds their important people, ideas, and links to an Obsidian wiki.

In plain words
What is it for?
It helps process individual sources or batches, create and update wiki pages, and track whether a source has already been processed.
Why use it?
It reduces the manual work of turning research material into organized, cross-referenced notes.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit It helps process individual sources or batches, create and update wiki pages, and track whether a source has already been processed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/carbeneai/forge/wiki-ingest
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add CarbeneAI/Forge --skill wiki-ingest
Clone the repo
git clone --depth 1 https://github.com/CarbeneAI/Forge

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for wiki-ingest

README.md
[![agentmods](https://agentmods.dev/badge/skills/carbeneai/forge/wiki-ingest/github.svg)](https://agentmods.dev/skills/carbeneai/forge/wiki-ingest)
Your own site
<a href="https://agentmods.dev/skills/carbeneai/forge/wiki-ingest"><img src="https://agentmods.dev/badge/skills/carbeneai/forge/wiki-ingest/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for wiki-ingest

Your own site · 80×15
<a href="https://agentmods.dev/skills/carbeneai/forge/wiki-ingest"><img src="https://agentmods.dev/badge/skills/carbeneai/forge/wiki-ingest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,923 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.01923
Opus 5 $0.00041 $0.00962
Sonnet 5 $0.00016 $0.00385
Haiku 4.5 $0.00008 $0.00192

Measured 8d ago against content hash 7a4e9a9e0e12, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

wiki-ingest scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/wiki-ingest/SKILL.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

wiki-ingest: Source Ingestion

Read the source. Write the wiki. Cross-reference everything. A single source typically touches 8-15 wiki pages.

Syntax standard: Write all Obsidian Markdown using proper Obsidian Flavored Markdown. Wikilinks as [[Note Name]], callouts as > [!type] Title, embeds as ![[file]], properties as YAML frontmatter. If the kepano/obsidian-skills plugin is installed, prefer its canonical obsidian-markdown skill for Obsidian syntax reference. Otherwise, follow the guidance in this skill.


Delta Tracking

Before ingesting any file, check .raw/.manifest.json to avoid re-processing unchanged sources.

# Check if manifest exists
[ -f .raw/.manifest.json ] && echo "exists" || echo "no manifest yet"

Manifest format (create if missing):

{
  "sources": {
    ".raw/articles/article-slug-2026-04-08.md": {
      "hash": "abc123",
      "ingested_at": "2026-04-08",
      "pages_created": ["wiki/sources/article-slug.md", "wiki/entities/Person.md"],
      "pages_updated": ["wiki/index.md"]
    }
  }
}

Before ingesting a file:

  1. Compute a hash: md5sum [file] | cut -d' ' -f1 (or sha256sum on Linux).
  2. Check if the path exists in .manifest.json with the same hash.
  3. If hash matches, skip. Report: "Already ingested (unchanged). Use force to re-ingest."
  4. If missing or hash differs, proceed with ingest.

After ingesting a file:

  1. Record {hash, ingested_at, pages_created, pages_updated} in .manifest.json.
  2. Write the updated manifest back.

Skip delta checking if the user says "force ingest" or "re-ingest".


URL Ingestion

Trigger: user passes a URL starting with https://.

Steps:

  1. Fetch the page using WebFetch.
  2. Clean (optional): if defuddle is available (which defuddle 2>/dev/null), run defuddle [url] to strip ads, nav, and clutter. Typically saves 40-60% tokens. Fall back to raw WebFetch output if not installed.
  3. Derive slug from the URL path (last segment, lowercased, spaces→hyphens, strip query strings).
  4. Save to .raw/articles/[slug]-[YYYY-MM-DD].md with a frontmatter header:
    ---
    source_url: [url]
    fetched: [YYYY-MM-DD]
    ---
    
  5. Proceed with Single Source Ingest starting at step 2 (file is now in .raw/).

Read the full file on GitHub · 185 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 185 lines · 81 tokens per session scan A 7a4e9a9e0e12

Subscribe to this mod's changes

wiki-ingest is a skill published in the GitHub repository CarbeneAI/Forge (9 stars, last pushed 1mo ago), licensed MIT. It adds 81 tokens to every session and 1,923 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

scanning-containers-with-trivy-in-cicd

This skill covers integrating Aqua Security's Trivy scanner into CI/CD pipelines for comprehensive container image vulnerability detection. It addresses scanning Docker images for OS package and application dependency CVEs, detecting misconfigurations in Dockerfiles, scanning filesystem and git repositories, and…

xalgorix/xalgorix · 74 tokens

implementing-code-signing-for-artifacts

This skill covers implementing code signing for build artifacts to ensure integrity and authenticity throughout the software supply chain. It addresses signing binaries, packages, and containers using GPG, Sigstore, and platform-specific signing tools, establishing trust chains, and verifying signatures in deployment…

xalgorix/xalgorix · 62 tokens

implementing-semgrep-for-custom-sast-rules

Write custom Semgrep SAST rules in YAML to detect application-specific vulnerabilities, enforce coding standards, and integrate into CI/CD pipelines.

xalgorix/xalgorix · 37 tokens

building-vulnerability-dashboard-with-defectdojo

Deploy DefectDojo as a centralized vulnerability management dashboard with scanner integrations, deduplication, metrics tracking, and Jira ticketing workflows.

26zl/cybersec-toolkit · 37 tokens

panguard

AI agent security platform — audit skills, scan for threats, and run 24/7 protection with 9,700+ detection rules.

panguard-ai/panguard-ai · 30 tokens

detecting-aws-credential-exposure-with-trufflehog

Detecting exposed AWS credentials in source code repositories, CI/CD pipelines, and configuration files using TruffleHog, git-secrets, and AWS-native detection mechanisms to prevent credential theft and unauthorized account access.

xalgorix/xalgorix · 54 tokens