ingest

ingest is a skill for Claude Code from guhcostan/claude-mega-brain. It costs 108 tokens per session (700 once invoked), scanned A, original, MIT.

A tool for turning raw information about a table, metric, API, service, or other concept into one documented knowledge-base file. An API is a defined way for software systems to communicate.

In plain words
What is it for?
Adding or updating a documented concept in an OKF knowledge base, including its description, resource link, tags, and technical details.
Why use it?
It helps keep technical definitions, schemas, formulas, examples, and caveats in a consistent place and format.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the claude-mega-brain plugin — 4 skills, 2 hooks shipped together

Good fit Adding or updating a documented concept in an OKF knowledge base, including its description, resource link, tags, and technical details.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/guhcostan/claude-mega-brain/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 guhcostan/claude-mega-brain --skill ingest
Clone the repo
git clone --depth 1 https://github.com/guhcostan/claude-mega-brain

Made for: Claude Code.

Or install claude-mega-brain, the plugin that ships this one along with the rest of its 4 skills, 2 hooks.

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 ingest

README.md
[![agentmods](https://agentmods.dev/badge/skills/guhcostan/claude-mega-brain/ingest/github.svg)](https://agentmods.dev/skills/guhcostan/claude-mega-brain/ingest)
Your own site
<a href="https://agentmods.dev/skills/guhcostan/claude-mega-brain/ingest"><img src="https://agentmods.dev/badge/skills/guhcostan/claude-mega-brain/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 ingest

Your own site · 80×15
<a href="https://agentmods.dev/skills/guhcostan/claude-mega-brain/ingest"><img src="https://agentmods.dev/badge/skills/guhcostan/claude-mega-brain/ingest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 700 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00108 $0.00700
Opus 5 $0.00054 $0.00350
Sonnet 5 $0.00022 $0.00140
Haiku 4.5 $0.00011 $0.00070

Measured 9d ago against content hash 059c11c770d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

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 9d 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.

skills/ingest/SKILL.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ingest — OKF Concept Writer

Turns raw input (schema dump, API doc, user description, table definition) into one OKF-formatted .md file committed to the knowledge base.

Before writing

Look for existing OKF files: any .md with type: frontmatter, or index.md / log.md in the project. If none exist, stop and tell the user to run /mega-brain:init first.

If .mega-brain.json defines dir, save new concepts under that directory. Otherwise, choose a sensible location (docs/, project root, etc.) consistent with existing OKF files.

Check if a concept with the same name already exists. If so, ask whether to update it or create a new one.

Output format

One .md file per concept. Only type is required:

---
type: <concept type>
title: <display name>
description: <one sentence, plain language, no jargon>
resource: <URL to the actual resource, if any>
tags: [<tag1>, <tag2>]
timestamp: <ISO 8601 date>
---

<body: exact schema, formula, join patterns, examples, caveats>

Common types

Type Use for
BigQuery Table BQ tables with schema
BigQuery Dataset BQ datasets
Table Non-BQ database tables
Metric KPI or business metric with formula
API REST/GraphQL endpoints
Runbook Operational procedures
Concept Business or domain terminology
Service Internal microservices
Pipeline ETL or data pipelines

Types are freeform — add your own.

Process

  1. Read the source material
  2. Identify the concept type and canonical name
  3. Write description: one sentence, plain language
  4. Add resource URL if there's a live resource (BQ console URL, API endpoint, dashboard)
  5. Write the body with exact values — preserve field names, types, and formulas as-is; do not generalize
  6. Link to related concepts with [Name](relative-path.md) — this builds the knowledge graph
  7. Save next to related OKF files (e.g. docs/tables/<slug>.md or <config-dir>/tables/<slug>.md)
  8. Add one line to index.md: - [Title](path) — description
  9. Append to log.md: <date> — added <title>

Read the full file on GitHub · 68 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. 9d ago First seen · 68 lines · 108 tokens per session scan A 059c11c770d7

Subscribe to this mod's changes

ingest is a skill published in the GitHub repository guhcostan/claude-mega-brain (125 stars, last pushed 1mo ago), licensed MIT. It adds 108 tokens to every session and 700 once invoked, about $0.0005 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 2026-08-30.

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