Llm Tldr

Name: Llm Tldr
Author: tiberriver256

Checked

tiberriver256·vlatest·ai-ml

Provides LLMs guidance and assistance for building AI and machine learning applications.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Run this in your project

terminal

$ npx skills add tiberriver256/ai-coding-workshop --skill llm-tldr -a claude-code

Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

tiberriver256

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned 1 Oct 2026

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned tiberriver256/ai-coding-workshop at 86a116388b.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: 86a116388b
Manifest: skills/llm-tldr/SKILL.md
Scanned: 1 file, 32 lines

This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.

What each check looks for →

About this skill

What it does

The llm-tldr skill provides concise summaries of lengthy text inputs. It can distill complex documents, articles, or code comments into shorter, more digestible versions while retaining key information. This is useful for quickly understanding the core concepts presented in large amounts of text.

When to use it

Summarize research papers to grasp the main findings without reading the entire document.
Condense long email threads to understand the context and action items efficiently.
Create brief overviews of code functions or classes for documentation purposes.
Generate executive summaries from detailed reports.

Key capabilities

Text summarization
Concise output generation
Information retention during condensation

Example prompts

"Summarize this article: [paste article text]"
"TL;DR of this code comment: [paste code comment]"
"Give me a brief overview of the following document: [paste document text]"

Tips & gotchas

The quality of the summary depends heavily on the clarity and structure of the original input. Very technical or jargon-heavy content might require some pre-processing for optimal results.