Borrowing it
Nothing to install: this file belongs to kc0506/ntucool. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kc0506/ntucool/main/.claude/skills/demo-recording/SKILL.mdgit clone --depth 1 https://github.com/kc0506/ntucoolWrote 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/kc0506/ntucool/demo-recording)<a href="https://agentmods.dev/skills/kc0506/ntucool/demo-recording"><img src="https://agentmods.dev/badge/skills/kc0506/ntucool/demo-recording/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/kc0506/ntucool/demo-recording"><img src="https://agentmods.dev/badge/skills/kc0506/ntucool/demo-recording.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00128 | $0.02016 |
| Opus 5.5 | $0.00051 | $0.00806 |
| Sonnet 5.5 | $0.00026 | $0.00403 |
| Haiku 4.5 | $0.00013 | $0.00202 |
Grade B, and why
demo-recording scanned grade B with 1 finding 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 2mo 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
All installed without sudo on this machine: How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Demo recording
The demo/ directory has two independent recipes. Both produce a GIF and optionally a .cast for sharing on asciinema.org.
| Demo | Tool | Driver | Output |
|---|---|---|---|
| CLI | VHS | Scripted tape | demo/cli.gif |
| MCP / agent | asciinema + agg | Interactive — user drives Claude Code | demo/mcp.cast + demo/mcp.gif |
Pick VHS when the content is fully scriptable and you want a deterministic artifact that re-runs cleanly after every change. Pick asciinema when authenticity matters — real timing, real agent reasoning, real tool calls — which scripting would flatten.
CLI demo (VHS)
demo/
├── cli.tape VHS script: command sequence + styling
├── record.sh Entry point — sets PATH, runs vhs
├── bin/cool Masking wrapper around the real `cool` binary
├── redact.py Masks personal data on stdout
└── cli.gif Output
Regenerate: ./demo/record.sh
The script puts demo/bin first on PATH so cool in the tape resolves to the masking wrapper. The wrapper finds the real cool by scanning PATH minus its own directory, then pipes stdout through redact.py.
Tweaking commands shown. Edit the Type "cool ..." blocks in cli.tape. Each follows the pattern Type / Sleep / Enter / Sleep — the first sleep lets viewers register the command, the second lets them read the output.
Tweaking styling. The Set block at the top of cli.tape controls FontSize, Theme, WindowBar, BorderRadius, Margin, etc. The current theme is Catppuccin Mocha; vhs themes lists alternatives.
MCP demo (asciinema + agg)
demo/
├── record-mcp.sh Entry point — prints prompts, records, redacts, renders
├── redact_cast.py Applies redact.py to each output event of a .cast
├── mcp.raw.cast Pre-redaction recording (review then delete)
├── mcp.cast Redacted recording (shareable)
└── mcp.gif Rendered GIF
Record: ./demo/record-mcp.sh
The script:
- Prints three suggested prompts and pauses for confirmation.
- Launches
asciinema rec --command "claude --dangerously-skip-permissions"so the recording IS the Claude Code session — when the user/exits, recording stops. - Pipes the raw cast through
redact_cast.py. - Greps the redacted cast for residual PII and warns if anything leaked across event chunks.
- Runs
aggto render the GIF.
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.
- 2mo ago First seen · 125 lines · 128 tokens per session scan B be261d535409
demo-recording is a skill published in the GitHub repository kc0506/ntucool (10 stars, last pushed 3mo ago), licensed MIT. It adds 128 tokens to every session and 2,016 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
demo-recording compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| demo-recordingkc0506/ntucool | Skill | 10 | 3mo ago | MIT | B | 128 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |