tldr

tldr is a skill for Claude Code, Codex from SSBun/csl-agent-kit. It costs 64 tokens per session (704 once invoked), scanned A, original, MIT.

A source-backed explainer that provides either a brief overview or a detailed report about a chosen subject.

In plain words
What is it for?
Writing TL;DRs, overviews, explorations, in-depth explanations, and detailed reports.
Why use it?
It gives an in-chat understanding of a topic while keeping the explanation tied to available sources.

Skill for Claude CodeCodex

Part of the csl plugin — 34 skills, 2 commands, 5 agents, 10 hooks 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 skills/ssbun/csl-agent-kit/tldr
Any agent
npx skills add SSBun/csl-agent-kit --skill tldr
Clone the repo
git clone --depth 1 https://github.com/SSBun/csl-agent-kit

Made for: Claude Code, Codex.

Or install csl, the plugin that ships this one along with the rest of its 34 skills, 2 commands, 5 agents, 10 hooks.

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 tldr

README.md
[![agentmods](https://agentmods.dev/badge/skills/ssbun/csl-agent-kit/tldr.svg)](https://agentmods.dev/skills/ssbun/csl-agent-kit/tldr)
Your own site
<a href="https://agentmods.dev/skills/ssbun/csl-agent-kit/tldr"><img src="https://agentmods.dev/badge/skills/ssbun/csl-agent-kit/tldr.svg" alt="Measured on agentmods" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 704 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 $0.00064 $0.00704
Opus 5 $0.00032 $0.00352
Sonnet 5 $0.00013 $0.00141
Haiku 4.5 $0.00006 $0.00070

Measured 5d ago against content hash b29005ab77e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

tldr 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.

skills/dev/tldr/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TLDR

Select a brief overview or detailed chat report only from the criteria below.

Route

Route background, delegated, or repository-file research to research; glossary, change-map, or caller-based orientation to repo-map; and review, audit, advice, tutorials, plans, implementation, or remediation to the matching capability.

Use the explicit target, otherwise the current topic segment. Ask one question only when target ambiguity blocks a faithful response.

Select the Mode

Count cues only when they describe the requested response, not quoted text, source content, or a target name.

  • Brief: TL;DR, brief, quick, concise, one-screen, high-level; Chinese: 简短, 简要, 快速, 简洁, 一屏, 高层概览.
  • Detailed: explore, deep, in-depth, detailed, comprehensive, thorough, full report, analyze; Chinese: 探索, 深入, 详细, 全面, 彻底, 完整报告, 分析.
  • Also select detailed when the user explicitly requests at least three of: key facts; mechanism or structure; domain context; limitations or open questions; complete sources.
  • If both match, ask only: “Do you want a brief or detailed response?” Do not choose. If neither matches, use brief.

A bare /tldr is not a brief cue. Target type, size, length, complexity, and Agent judgment never affect the mode.

Gather

  • Brief: retrieve only enough for identity, purpose, important structure, and material context.
  • Detailed: read a URL target first; prefer primary sources for topics and authoritative, directly relevant files for projects.
  • Never turn project understanding into a durable report, exhaustive inventory, audit, or implementation plan.
  • Separate facts from inference. Disclose conflicts, uncertainty, inaccessible material, and partial coverage.

Output

Brief

  • Start with **TL;DR:** and one to three sentences establishing the whole.
  • Add the fewest useful bullets, normally no more than five.
  • Keep it to roughly one screen; prioritize structure and relationships.

Read the full file on GitHub · 53 lines

Files

What ships with it

2 files 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 · 53 lines · 64 tokens per session scan A b29005ab77e9

Subscribe to this mod's changes

tldr is a skill published in the GitHub repository SSBun/csl-agent-kit (10 stars, last pushed 3d ago), licensed MIT. It adds 64 tokens to every session and 704 once invoked, about $0.0003 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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