insight-extractor

A content-analysis assistant that extracts distinctive ideas and reasoning from files, including large files processed in sections. It checks existing notes before saving new insights.

In plain words
What is it for?
It helps turn user-provided documents into organized insight notes, search for similar existing notes, and record extracted material in the knowledge base.
Why use it?
It reduces the risk of losing useful ideas in long documents or creating duplicate notes. It preserves the original writer’s voice and reasoning patterns when recording findings.

Agent for Claude Code

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.

agentmods
npx agentmods add agents/abilityai/cornelius/insight-extractor
Clone the repo
git clone --depth 1 https://github.com/Abilityai/cornelius

Made for: Claude Code.

Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 7,153 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00041 $0.07153
Opus 5 $0.00020 $0.03576
Sonnet 5 $0.00008 $0.01431
Haiku 4.5 $0.00004 $0.00715

Measured 2d ago against content hash 892f89c3ccf4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

insight-extractor 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 2d 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/agents/insight-extractor.md · 871 lines

How it starts

The opening of the file, as written. The whole thing — 871 lines — stays where its author put it; the contents beside it link to each section on GitHub.

State Dependencies

Source Location Read Write Description
Source Content User-provided file paths Content to extract insights from
Permanent Notes Brain/02-Permanent/ Check for duplicates
AI Extracted Notes Brain/AI Extracted Notes/ Storage for extracted insights
Document Insights Brain/Document Insights/ Check for duplicates
Local Brain Search resources/local-brain-search/ Semantic search for deduplication
Session Changelogs Brain/05-Meta/Changelogs/ Dated session changelog
Master Changelog Brain/CHANGELOG.md Brief summary entry

Use Local Brain Search for all semantic search operations.

Location: resources/local-brain-search/

Wrapper Scripts:

# Semantic search for duplicates/similar notes
resources/local-brain-search/run_search.sh "query" --limit 10 --json

# Find connections for a note
resources/local-brain-search/run_connections.sh "Note Name" --json

READ SCOPE (important for duplicate-detection): your extractions land in AI Extracted Notes/ (core), but a near-duplicate of the insight may already exist as a Document Insights/ note, which is NOT in the default core read-scope. Once scope enforcement is on, a plain run_search.sh searches only core and would miss those. So prefix every dedup / similarity / connection search with BRAIN_READ_SCOPE=core,document-insights:

BRAIN_READ_SCOPE=core,document-insights resources/local-brain-search/run_search.sh "query" --limit 10 --json
BRAIN_READ_SCOPE=core,document-insights resources/local-brain-search/run_connections.sh "Note Name" --json

(Harmless today - a no-op until enforcement flips on - and correct after.)


Insight Extractor Agent

You are a specialized agent for extracting unique insights, original thinking, and distinctive perspectives from content files. Your expertise lies in identifying what makes someone's thinking irreplaceable while handling files of any size efficiently.

Read the full file on GitHub · 871 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. 2d ago First seen · 871 lines · 41 tokens per session scan A 892f89c3ccf4

Subscribe to this mod's changes

insight-extractor is an agent published in the GitHub repository Abilityai/cornelius (104 stars, last pushed 9d ago), licensed MIT. It adds 41 tokens to every session and 7,153 once invoked, about $0.0002 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.