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Asciinema Cast Format

Checked
terrylica·vlatest·utilities·MIT

Converts terminal sessions recorded in Asciinema to a standardized format compatible with various tools and platforms.

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-cast-format -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-cast-format/SKILL.md
Scanned
2 files, 255 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 enables AI agents to parse and process asciinema.cast files, which are text-based recordings of terminal sessions. It extracts command history, timestamps, and output streams to facilitate analysis or automation of shell workflows.

When to use it

  • Automating the review of complex terminal debugging sessions stored as cast files.
  • Extracting specific commands from a recorded session for replay or documentation.
  • Analyzing historical system administration logs without manual transcription.
  • Integrating terminal recording data into CI/CD pipelines for audit trails.

Key capabilities

  • Parsing standard asciinema.cast file structures.
  • Extracting command sequences and their corresponding outputs.
  • Handling timestamped event streams from terminal recordings.

Example prompts

  • "Extract all commands executed in this asciinema.cast file between 10:00 and 10:30."
  • "Summarize the error messages displayed during the deployment sequence in this cast file."
  • "Convert the command history from this recording into a bash script for replay."

Tips & gotchas

Ensure the input file is a valid, uncorrupted asciinema.cast format to avoid parsing errors. This skill relies on text-based metadata; binary modifications or non-standard encodings may break functionality.