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Asciinema Analyzer

Checked
terrylica·vlatest·other·MIT

Analyzes ASCII art sequences from AsciiMemes, identifying patterns and elements for creative inspiration or data extraction.

Repository

Install on your platform

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

  1. 1

    Run this in your project

    terminal
    $ npx skills add terrylica/cc-skills --skill asciinema-analyzer -a claude-code

  2. 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

terrylica

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

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 terrylica/cc-skills at 3a1dc29965.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3a1dc29965
Manifest
plugins/asciinema-tools/skills/asciinema-analyzer/SKILL.md
Scanned
4 files, 876 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

This skill processes asciinema recording files to extract and analyze terminal session data. It enables AI agents to understand command sequences, output logs, and execution timelines stored in .cast or .tar formats.

When to use it

  • Reviewing complex debugging sessions where standard text logs are insufficient.
  • Automating the analysis of repetitive deployment workflows captured in recordings.
  • Extracting specific commands or error messages from long-running terminal sessions.
  • Converting visual terminal history into structured data for further processing.

Key capabilities

  • Parses asciinema recording files (.cast, .tar) directly.
  • Extracts command inputs, timestamps, and corresponding outputs.
  • Structures unstructured terminal logs into readable formats.
  • Identifies session metadata including duration and command counts.

Example prompts

  • "Analyze this asciinema recording to find where the database connection failed."
  • "Extract all docker commands run in this session along with their exit codes."
  • "Summarize the key steps taken during this system reboot process from the recording file."

Tips & gotchas

Ensure the input file is a valid .cast or .tar archive generated by asciinema; plain text logs will not work. Large recordings may require chunking if the AI agent has context window limits for processing the entire session at once.