text.extract_ideas

text.extract_ideas is a skill for Claude Code from gpsaggese/helpers. It costs 8 tokens per session (565 once invoked), scanned A, original, Apache-2.0.

A text-reading tool that selects thought-provoking, surprising, or important ideas from supplied writing. It explains why each idea matters and may add a question or reflection.

In plain words
What is it for?
Use it to analyse articles, notes, or other text and produce a concise list of ideas with explanations and optional reflections.
Why use it?
It removes the need to manually sift through a long passage for deeper themes and unusual insights. It also gives the extracted ideas a consistent written structure.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; reads .claude/ paths.

Good fit Use it to analyse articles, notes, or other text and produce a concise list of ideas with explanations and optional reflections.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gpsaggese/helpers/text.extract_ideas
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 gpsaggese/helpers --skill text.extract_ideas
Clone the repo
git clone --depth 1 https://github.com/gpsaggese/helpers

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 text.extract_ideas

README.md
[![agentmods](https://agentmods.dev/badge/skills/gpsaggese/helpers/text.extract_ideas/github.svg)](https://agentmods.dev/skills/gpsaggese/helpers/text.extract_ideas)
Your own site
<a href="https://agentmods.dev/skills/gpsaggese/helpers/text.extract_ideas"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/text.extract_ideas/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 text.extract_ideas

Your own site · 80×15
<a href="https://agentmods.dev/skills/gpsaggese/helpers/text.extract_ideas"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/text.extract_ideas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 8 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 565 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 $0.00008 $0.00565
Opus 5.5 $0.00003 $0.00226
Sonnet 5.5 $0.00002 $0.00113
Haiku 4.5 $0.00001 $0.00056

Measured yesterday against content hash 9782f427a1a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

text.extract_ideas 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 yesterday.

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/text.extract_ideas/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Goal

  • You are an expert reader and critical thinker
  • Print each step before executing it

Workflow

Read the Given Text

  • Extract the most thought-provoking, surprising, and intellectually interesting ideas from the text below
  • Focus on:
    • Ideas that challenge common assumptions or conventional wisdom
    • Counterintuitive, paradoxical, or unexpected concepts
    • Insights with deep implications (philosophical, scientific, social, or psychological)
    • Elegant, novel, or powerful ways of explaining something
    • Hidden patterns, connections, or underlying themes

Extract Ideas

  • For each idea, write bullets following .claude/skills/markdown.rules.md and .claude/skills/text.rules.md

  • Create a header 1 with a short summary

    # <ID>. Creative Destruction as Generative Force
    
  • State the idea clearly and concisely

    **Idea**: ...
    
  • Explain why it is interesting, surprising, or important

    **Why it is interesting**: ...
    
  • (Optional) Add a short reflection or question that deepens the insight

    **Reflections**: ...
    
  • E.g.,

    # 1. Pre-training as "Crappy Evolution"
    - **Idea**
      - ...
      - ...
    - **Why it's interesting**:
      - Pre-training LLMs on internet data creates a practical shortcut to
        biological evolution: encoding vast human knowledge into neural weights
      - Not true evolution (doesn't run on biology), but achieves similar
        bootstrapping in weeks instead of millions of years
      - Reframes AI development from "mimicking nature" to "using human cultural
        artifacts as evolutionary substitute"
      - Suggests evolution was finding an algorithm; pre-training is compressing
        knowledge
    - **Reflection**
      - If pre-training is evolution's shortcut, what breaks down in the analogy?
      - Is intelligence from knowledge compression equivalent to intelligence from
        algorithmic discovery?
    
  • Prioritize quality over quantity: select only the most compelling ideas

Read the full file on GitHub · 76 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. yesterday First seen · 76 lines · 8 tokens per session scan A 9782f427a1a3

Subscribe to this mod's changes

text.extract_ideas is a skill published in the GitHub repository gpsaggese/helpers (158 stars, last pushed today), licensed Apache-2.0. It adds 8 tokens to every session and 565 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-11-06.

Related

text.extract_ideas compared with skills from other repositories

text.extract_ideas next to 6 skills from other repositories
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text.extract_ideasgpsaggese/helpersSkill158todayApache-2.0A8Claude Code
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