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 convertgit 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/convert)<a href="https://agentmods.dev/skills/terrylica/cc-skills/convert"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/convert.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00031 | $0.01053 |
| Opus 5 | $0.00015 | $0.00526 |
| Sonnet 5 | $0.00006 | $0.00211 |
| Haiku 4.5 | $0.00003 | $0.00105 |
Grade A, and why
convert 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 7d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/asciinema-tools:convert
Convert asciinema .cast recordings to clean .txt files. Supports single file and batch directory modes.
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.
Arguments
Single File Mode
| Argument | Description |
|---|---|
file |
Path to .cast file |
-o, --output |
Output path (default: same dir) |
--index |
Create timestamp indexed version |
--chunks |
Split at 30s+ idle pauses |
--dims |
Preserve terminal dimensions |
--analyze |
Auto-run /analyze after conversion |
Batch Mode
| Argument | Description |
|---|---|
--batch |
Enable batch mode for directory conversion |
--source |
Source directory (default: ~/asciinemalogs) |
--output-dir |
Output directory (default: ~/Downloads/cast-txt/) |
--skip-existing |
Skip files that already have .txt output (default: true) |
Note: --batch and positional file are mutually exclusive.
Execution
Invoke the asciinema-converter skill with user-selected options.
Single File Skip Logic
- If
fileprovided → skip Phase 1 (file selection) - If options provided → skip Phase 2 (options)
- If
-oprovided → skip Phase 3 (output location) - If
--analyzeprovided → skip Phase 6 and auto-run analyze
Batch Mode Skip Logic
- If
--batchprovided → skip Phases 1-3, enter batch phases (7-10) - If
--sourceprovided → skip Phase 7 (source selection) - If
--output-dirprovided → skip Phase 8 (output organization)
Single File Workflow
- Preflight: Check asciinema convert command
- Discovery: Find .cast files
- Selection: AskUserQuestion for file
- Options: AskUserQuestion for conversion options
- Location: AskUserQuestion for output location
- Execute: Run asciinema convert
- Report: Display compression ratio
- Next: AskUserQuestion for follow-up action
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.
- 7d ago First seen · 110 lines · 31 tokens per session scan A bf1ceca84701
convert is a skill published in the GitHub repository terrylica/cc-skills (62 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 1,053 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.
Other skills, from other repositories
investment-memo-generator
Investment memo creation combining financial analysis, document generation, and structured templates. Use when creating investment memos, pitch decks, deal summaries, or investment committee materials.
impact-report-writer
Nonprofit/NGO impact report generation with data visualization suggestions, outcome metrics, narrative structure, and program data presentation. Use when writing impact reports, annual reports, or program evaluation summaries.
codebase-documenter
This skill should be used when writing documentation for codebases, including README files, architecture documentation, code comments, and API documentation. Use this skill when users request help documenting their code, creating getting-started guides, explaining project structure, or making codebases more accessible…
document-skills
Professional document creation, editing, and analysis for Office formats (docx, pdf, pptx, xlsx). Use when working with Word documents, PDFs, PowerPoint presentations, or Excel spreadsheets.
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify…