Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add terrylica/cc-skills --skill asciinema-convertergit clone --depth 1 https://github.com/terrylica/cc-skillsWrote 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-converter)<a href="https://agentmods.dev/skills/terrylica/cc-skills/asciinema-converter"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/asciinema-converter/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-converter"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/asciinema-converter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 153 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.01566 |
| Opus 5 | $0.00017 | $0.00783 |
| Sonnet 5 | $0.00007 | $0.00313 |
| Haiku 4.5 | $0.00003 | $0.00157 |
Grade A, and why
asciinema-converter 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 12d 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
| Component | Required | Installation | Notes |
|---|---|---|---|
| asciinema | Yes | brew install asciinema |
v2.4+ for convert cmd |
Workflow Overview
IMPORTANT: All phases are MANDATORY. Do NOT skip any phase. AskUserQuestion MUST be used at each decision point.
Single File Mode (Phases 0-6)
| Phase | Purpose | Key Action |
|---|---|---|
| 0 | Preflight check | Verify asciinema CLI v2.4+ |
| 1 | File discovery & selection | AskUserQuestion: file to convert |
| 2 | Output options | AskUserQuestion: conversion opts |
| 3 | Output location | AskUserQuestion: save destination |
| 4 | Execute conversion | asciinema convert -f txt |
| 5 | Timestamp index | Optional [HH:MM:SS] index |
| 6 | Next steps | AskUserQuestion: what's next |
What ships with it
12 files 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.
- references/anti-patterns.md 5.3 KB
- references/batch-processing.md 6.4 KB
- references/batch-workflow.md 3.8 KB
- references/evolution-log.md 705 B
- references/integration-guide.md 6.5 KB
- references/post-change-checklist.md 696 B
- references/task-templates.md 959 B
- references/workflow-phases.md 6.2 KB
- tests/converter-integration.bats 6.8 KB
- tests/converter.test.ts 7.9 KB runs code
- tests/fixtures/simple.cast 184 B
- tests/fixtures/with spaces.cast 184 B
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.
- 12d ago First seen · 156 lines · 34 tokens per session scan A 04f9cb0d4847
asciinema-converter is a skill published in the GitHub repository terrylica/cc-skills (72 stars, last pushed 2d ago), licensed MIT. It adds 34 tokens to every session and 1,566 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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