extract-wisdom

extract-wisdom is a skill for Claude Code from sammcj/agentic-coding. It costs 43 tokens per session (4,657 once invoked), scanned A, original, Apache-2.0.

A process for extracting useful ideas and practical lessons from videos, articles, blog posts, or text files.

In plain words
What is it for?
Finding key ideas, advice, and actionable conclusions in supplied content.
Why use it?
It turns long source material into focused takeaways without losing the main insights.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents.

Good fit Finding key ideas, advice, and actionable conclusions in supplied content.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sammcj/agentic-coding/extract-wisdom
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 sammcj/agentic-coding --skill extract-wisdom
Clone the repo
git clone --depth 1 https://github.com/sammcj/agentic-coding

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 extract-wisdom

README.md
[![agentmods](https://agentmods.dev/badge/skills/sammcj/agentic-coding/extract-wisdom/github.svg)](https://agentmods.dev/skills/sammcj/agentic-coding/extract-wisdom)
Your own site
<a href="https://agentmods.dev/skills/sammcj/agentic-coding/extract-wisdom"><img src="https://agentmods.dev/badge/skills/sammcj/agentic-coding/extract-wisdom/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 extract-wisdom

Your own site · 80×15
<a href="https://agentmods.dev/skills/sammcj/agentic-coding/extract-wisdom"><img src="https://agentmods.dev/badge/skills/sammcj/agentic-coding/extract-wisdom.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,657 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 warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Agent Snooping · line 4
    Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.
    Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
  • medium Rogue Agent · line 4
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 $0.00043 $0.04657
Opus 5.5 $0.00017 $0.01863
Sonnet 5.5 $0.00009 $0.00931
Haiku 4.5 $0.00004 $0.00466

Measured 10d ago against content hash 6fb87330e67c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

extract-wisdom 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 10d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/transcribe.py, scripts/wisdom.py, tests/test_frames.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/extract-wisdom/SKILL.md · 386 lines

How it starts

The opening of the file, as written. The whole thing — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Wisdom Extraction

<skill-dir> in commands below is this skill's base directory, shown when the skill loads.

Workflow

Step 1: Identify Source and Acquire Content

Determine the source type and read the corresponding reference file:

  • YouTube URL (contains youtube.com or youtu.be): Read references/source-youtube.md and follow its instructions.
  • Web URL or local file: Read references/source-web-text.md and follow its instructions.
Talk slide deck

When the source is a recorded talk or presentation, dispatch a background sub-agent once the output directory exists, then continue to Step 2 without waiting. Brief it to:

  1. Find the slide deck for this exact talk: same speaker, title and event. Check links in the source description or page first, then search. A deck from a different delivery of the talk doesn't count.
  2. Download it to $TMPDIR and convert it to markdown with the best suited skill or tool available (e.g. pptx-to-md for PPTX, liteparse or pdf for PDF, fetching the page for web-hosted decks). Keep slide order and interpret charts and diagrams.
  3. Save it to the output directory as <source-title> - slides.md, with the deck URL on the first line.
  4. Return the file path, or "no deck found" with the searches tried.

After acquiring the source content, return here for Step 2. If the user provided additional instructions about the level of detail or focus areas, apply those throughout the analysis.

Step 2: Analyse and Extract Wisdom

IMPORTANT: Avoid signal dilution, context collapse, quality degradation and degraded reasoning for future understanding of the content. Keep the signal-to-noise ratio high. Preserve domain insights while excluding filler or fluff.

Scale the analysis to the source

Length follows what the source carries, never the template.

  • Include a section only when it adds claims the reader has not already seen. Drop Structured Breakdown, Insights & Commentary or Additional Resources when they would restate Key Insights or hold nothing.
  • Short source (under roughly 1,500 words or 10 minutes of video): write One-Minute Read, Summary, Key Insights and Actionable Takeaways only, plus Notable Quotes when the source has them.
  • Finish early rather than pad. When a section runs long, merge related claims and state them more generally.
  • The user's instructions on length or focus override these defaults.

Read the full file on GitHub · 386 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. 10d ago Changed · +11 lines 6fb87330e67c
  2. 11d ago Changed · -1 lines d51b37da1702
  3. 24d ago Changed · +19 lines 45643eb1fccf
  4. 1mo ago First seen · 357 lines · 43 tokens per session scan A 7112cd255fef

Subscribe to this mod's changes

extract-wisdom is a skill published in the GitHub repository sammcj/agentic-coding (164 stars, last pushed 3d ago), licensed Apache-2.0. It adds 43 tokens to every session and 4,657 once invoked, about $0.0002 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 2026-08-30.