Home / terrylica / cc-skills · plugins/asciinema-tools/skills/asciinema-player/SKILL.md · GitHub

asciinema-player skillA

asciinema-player is agent-read markdown (skill) from terrylica/cc-skills: Play .cast terminal recordings in iTerm2. TRIGGERS - asciinema play, .cast file, play recording, recording playback..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# asciinema-player

Play terminal session recordings (.cast files) in a dedicated iTerm2 window with full playback controls. Opens a **clean window** (bypasses default arrangements) for distraction-free viewing.

> **Platform**: macOS only (requires iTerm2)

> **Self-Evolving Skill**: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.

## When to Use This Skill

Use this skill when:

- Playing back .cast recordings in iTerm2
- Reviewing session recordings without browser limitations
- Handling large recordings (>100MB) that crash browser players
- Demoing or reviewing terminal sessions

---

## Why iTerm2 Instead of Browser?

| Aspect               | Browser Player          | iTerm2 CLI        |
| -------------------- | ----------------------- | ----------------- |
| Large files (>100MB) | Crashes (memory limit)  | Streams from disk |
| Memory usage         | 2-4GB for 700MB file    | Minimal           |
| Startup time         | Slow (download + parse) | Instant           |
…

Read the whole file at its exact version.

How to install

Latest version
mdr add terrylica/cc-skills/asciinema-player@git:20260401.b664eaf
Exact content
mdr add terrylica/cc-skills/asciinema-player@sha256:ecc75a53488a72ad

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_elowjsh75sxjyw45.svg)](https://markdownregistry.com/a/art_elowjsh75sxjyw45)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
git:20260401.b664eaf latest2026-04-01 b664eaf 10,904 BA view · diff
git:20260401.6be22af2026-04-01 6be22af 10,682 BA view · diff
git:20260131.60cf7002026-01-31 60cf700 10,129 BA view · diff
git:20260131.ed2f3f22026-01-31 ed2f3f2 9,873 BA view · diff
git:20260126.01868e92026-01-26 01868e9 9,879 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (10904 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

terrylica/cc-skills · 74 stars · license MIT · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_elowjsh75sxjyw45
GET https://markdownregistry.com/api/v1/resolve?ref=terrylica/cc-skills/asciinema-player
GET https://markdownregistry.com/api/v1/blob/ecc75a53488a72ad80729dd82e7f9d5fe6ba0a32f941722790a4de496911327f

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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