Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/terrylica/cc-skillsnpx agentmods add skills/terrylica/cc-skills/asciinema-playerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/terrylica/cc-skills/asciinema-player)<a href="https://agentmods.dev/skills/terrylica/cc-skills/asciinema-player"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/asciinema-player/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/terrylica/cc-skills/asciinema-player"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/asciinema-player.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.02716 |
| Opus 5 | $0.00017 | $0.01358 |
| Sonnet 5 | $0.00007 | $0.00543 |
| Haiku 4.5 | $0.00003 | $0.00272 |
Grade A, and why
asciinema-player scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 380 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 |
| Native feel | Web-based | True terminal |
Decision: iTerm2 CLI is the only reliable method for large recordings.
Requirements
| Component | Required | Installation |
|---|---|---|
| iTerm2 | Yes | brew install --cask iterm2 |
| asciinema CLI | Yes | brew install asciinema |
Note: This skill is macOS-only. Linux users should run
asciinema playdirectly in their terminal.
Workflow Phases (ALL MANDATORY)
IMPORTANT: All phases are MANDATORY. Do NOT skip any phase. AskUserQuestion MUST be used at each decision point.
Phase 0: Preflight Checks
Purpose: Verify iTerm2 and asciinema are installed.
Step 0.1: Check Dependencies
# Check iTerm2 is installed
ls -d /Applications/iTerm.app 2>/dev/null && echo "iTerm2: OK" || echo "iTerm2: MISSING"
# Check asciinema CLI
which asciinema && asciinema --version
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 380 lines · 34 tokens per session scan A ecc75a53488a
asciinema-player is a skill published in the GitHub repository terrylica/cc-skills (72 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 2,716 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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