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

asciinema-converter skillA

asciinema-converter is agent-read markdown (skill) from terrylica/cc-skills: Convert .cast recordings to .txt for analysis. TRIGGERS - convert cast, cast to txt, strip ANSI, batch convert..

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-converter

Convert asciinema .cast recordings to clean .txt files for Claude Code analysis. Achieves 950:1 compression (3.8GB -> 4MB) by stripping ANSI codes and JSON structure.

> **Platform**: macOS, Linux (requires asciinema CLI v2.4+)

> **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:

- Converting .cast recordings to searchable .txt format
- Preparing recordings for Claude Code Read/Grep tools
- Batch converting multiple recordings
- Reducing storage size of session archives
- Extracting clean text from ANSI-coded terminal output

---

## Why Convert?

| Format | Size (22h session) | Claude Code Compatible | Searchable |
| ------ | ------------------ | ---------------------- | ---------- |
| .cast  | 3.8GB              | No (NDJSON + ANSI)     | Via jq     |
| .txt   | ~4MB               | Yes (clean text)       | Grep/Read  |

**Key benefit**: Claude Code's Read and Grep tools work directly on .txt output.

---

## Requirements
…

Read the whole file at its exact version.

How to install

Latest version
mdr add terrylica/cc-skills/asciinema-converter@git:20260401.b664eaf
Exact content
mdr add terrylica/cc-skills/asciinema-converter@sha256:04f9cb0d4847425a

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_2cro5fv6wmoflfxf.svg)](https://markdownregistry.com/a/art_2cro5fv6wmoflfxf)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
git:20260401.b664eaf latest2026-04-01 b664eaf 6,941 BA view · diff
git:20260401.6be22af2026-04-01 6be22af 6,719 BA view · diff
git:20260226.c78f2f52026-02-26 c78f2f5 6,149 BA view · diff
git:20260131.1a586f82026-01-31 1a586f8 16,127 BA view · diff
git:20260131.fb0e0bb2026-01-31 fb0e0bb 15,827 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 (6941 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_2cro5fv6wmoflfxf
GET https://markdownregistry.com/api/v1/resolve?ref=terrylica/cc-skills/asciinema-converter
GET https://markdownregistry.com/api/v1/blob/04f9cb0d4847425a1e9bf735c9d84dc07ba8a5bba994454568daede3cfafe644

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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