summarize

summarize is a skill for Claude Code, Codex from ParendumOU/Nexora. It costs 0 tokens per session (122 once invoked), scanned A, original, MIT.

A skill for turning long documents, discussion threads, and conversations into shorter summaries. It can preserve decisions, action items, and named people or organizations.

In plain words
What is it for?
Use it to create a one-line summary, a short overview, bullet points, or a structured summary with context, key points, and actions.
Why use it?
It reduces the effort needed to understand lengthy material while indicating what information was left out.

Skill for Claude CodeCodex

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 skills/parendumou/nexora/summarize
Any agent
npx skills add ParendumOU/Nexora --skill summarize
Clone the repo
git clone --depth 1 https://github.com/ParendumOU/Nexora

Made for: Claude Code, Codex.

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 summarize

README.md
[![agentmods](https://agentmods.dev/badge/skills/parendumou/nexora/summarize.svg)](https://agentmods.dev/skills/parendumou/nexora/summarize)
Your own site
<a href="https://agentmods.dev/skills/parendumou/nexora/summarize"><img src="https://agentmods.dev/badge/skills/parendumou/nexora/summarize.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 122 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 5.1 $0.00000 $0.00122
Opus 5 $0.00000 $0.00061
Sonnet 5 $0.00000 $0.00024
Haiku 4.5 $0.00000 $0.00012

Measured 5d ago against content hash 3a3b953e74bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

summarize 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 5d 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.

backend/src/seeds/skills/builtin/summarize/SKILL.md · 16 lines

What it actually says

Summarize

Distill long docs, threads, conversations → concise summaries.

Usage

  • Ask user: detail level needed (one-liner, bullets, full)
  • Preserve key decisions, action items, named entities
  • Long content: chunk → summarize each chunk → combine
  • Flag omitted info

Output formats

  • One-liner: single sentence, core point
  • TL;DR: 2-3 sentences
  • Bullet points: key takeaways as list
  • Structured summary: sections for context, key points, action items
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 5d ago First seen · 16 lines · 0 tokens per session scan A 3a3b953e74bf

Subscribe to this mod's changes

summarize is a skill published in the GitHub repository ParendumOU/Nexora (20 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 122 tokens. 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.

Related

Other skills, from other repositories

background-task

Add or modify work that runs outside the request/response cycle — emails, document ingestion, webhooks, cleanups, scheduled jobs. Use when something is slow or fire-and-forget, or when adding a periodic/cron task. This project's queue is {{ cookiecutter.backgroundtasks }}.

vstorm-co/full-stack-ai-agent-template · 62 tokens

agent-tool

Add a new tool/function the AI agent can call (e.g. look something up, hit an external API, perform an action). Use when extending the assistant's capabilities, wiring a new function into the agent, or when the model needs a new action. This project uses {{ cookiecutter.aiframework }}.

vstorm-co/full-stack-ai-agent-template · 66 tokens

frontend-feature

Build a new page, view, or data-driven feature in the Next.js frontend. Use when adding a route under the dashboard/marketing area, wiring UI to a backend endpoint, adding client state, or creating a localized page. Covers App Router, data fetching, Zustand stores, and i18n.

vstorm-co/full-stack-ai-agent-template · 64 tokens

rag-knowledge

Work with the RAG knowledge base — ingest documents, run semantic search, manage collections, or add a sync source/connector (Google Drive, S3). Use when populating or debugging the knowledge base, tuning retrieval, or adding a new document source. This project uses {{ cookiecutter.vectorstore }} + {{…

vstorm-co/full-stack-ai-agent-template · 76 tokens

alembic-migration

Create, review, and apply database schema changes with Alembic. Use whenever a SQLAlchemy model is added or changed, a column/index/constraint needs to change, or a data backfill is required — anything that alters the PostgreSQL schema.

vstorm-co/full-stack-ai-agent-template · 56 tokens

channel-bot

Work with messaging-channel bots (Telegram / Slack) — register a bot, route inbound messages through the AI agent, handle webhooks vs polling, or add a new channel adapter. Use when wiring chat into a messaging platform or debugging bot delivery.

vstorm-co/full-stack-ai-agent-template · 53 tokens