extract-insights

extract-insights is a command for coding agents from masayan1126/masayan-uni-code-plugins. It costs 30 tokens per session (141 once invoked), scanned A, original, MIT.

A tool that reads a web page or a piece of writing and extracts useful insights, such as experiences, specialist knowledge, and recommended practices. It also records where each insight came from.

In plain words
What is it for?
Use it to review an article, analyse supplied text, or collect experience-based advice and best practices from a URL.
Why use it?
It makes it easier to find practical lessons in long or loosely organised content.

Command

Part of the insight-extractor plugin — 1 skill, 1 command shipped together

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 commands/masayan1126/masayan-uni-code-plugins/extract-insights
Clone the repo
git clone --depth 1 https://github.com/masayan1126/masayan-uni-code-plugins

Or install insight-extractor, the plugin that ships this one along with the rest of its 1 skill, 1 command.

Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 141 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 $0.00030 $0.00141
Opus 5 $0.00015 $0.00071
Sonnet 5 $0.00006 $0.00028
Haiku 4.5 $0.00003 $0.00014

Measured 3d ago against content hash 5685fe9d17b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

extract-insights 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 3d 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.

plugins/insight-extractor/commands/extract-insights.md · 11 lines

What it actually says

Execute the skill at ~/.claude/plugins/insight-extractor/skills/insight-extractor or ~/.claude/plugins/cache/masayan-uni-plugins/insight-extractor/skills/insight-extractor to extract valuable insights from the provided URL or text.

If a URL is provided, use WebFetch to retrieve the content first. If text is provided directly, analyze it immediately.

Follow the extraction rules in EXTRACTION_RULES.md to identify and summarize insights with their locations.

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. 3d ago First seen · 11 lines · 30 tokens per session scan A 5685fe9d17b4

Subscribe to this mod's changes

extract-insights is a command published in the GitHub repository masayan1126/masayan-uni-code-plugins (5 stars, last pushed 5mo ago), licensed MIT. It adds 30 tokens to every session and 141 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 2026-08-31.