summarizer

summarizer is a skill for Claude Code from JiauZhang/chatchat. It costs 20 tokens per session (113 once invoked), scanned A, original, GPL-2.0.

A Chinese-language instruction for summarizing long text when the user asks for a summary or overview.

In plain words
What is it for?
Use it for requests to summarize or give an overview of long text.
Why use it?
It helps condense lengthy material into a shorter form when the original is difficult to review quickly.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

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/jiauzhang/chatchat/summarizer
Any agent
npx skills add JiauZhang/chatchat --skill summarizer
Clone the repo
git clone --depth 1 https://github.com/JiauZhang/chatchat

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 summarizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/jiauzhang/chatchat/summarizer.svg)](https://agentmods.dev/skills/jiauzhang/chatchat/summarizer)
Your own site
<a href="https://agentmods.dev/skills/jiauzhang/chatchat/summarizer"><img src="https://agentmods.dev/badge/skills/jiauzhang/chatchat/summarizer.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 113 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00020 $0.00113
Opus 5 $0.00010 $0.00056
Sonnet 5 $0.00004 $0.00023
Haiku 4.5 $0.00002 $0.00011

Measured 6d ago against content hash e1abc90fa616, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

summarizer 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 6d 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.

examples/skills/summarizer/SKILL.md · 17 lines

The source is not reproduced here

Licensed GPL-2.0

The repository is licensed GPL-2.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 6d ago First seen · 17 lines · 20 tokens per session scan A e1abc90fa616

Subscribe to this mod's changes

summarizer is a skill published in the GitHub repository JiauZhang/chatchat (10 stars, last pushed 14d ago), licensed GPL-2.0. It adds 20 tokens to every session and 113 once invoked, about $0.0001 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.

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