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/bootstrapWrote 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/bootstrap)<a href="https://agentmods.dev/skills/terrylica/cc-skills/bootstrap"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/bootstrap/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/bootstrap"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/bootstrap.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 | $0.00022 | $0.03371 |
| Opus 5.5 | $0.00009 | $0.01348 |
| Sonnet 5.5 | $0.00004 | $0.00674 |
| Haiku 4.5 | $0.00002 | $0.00337 |
Grade D, and why
bootstrap scanned grade D with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
### Phase 5: Display Instructions Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf "$TEMP_DIR" How it starts
The opening of the file, as written. The whole thing — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/asciinema-tools:bootstrap
Generate a bootstrap script that runs OUTSIDE Claude Code to start a recording session.
Important: Chunking is handled by the launchd daemon. Run /asciinema-tools:daemon-setup first if you haven't already.
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.
Architecture
┌─────────────────────────────────────────────────────────────────────────────┐
│ DAEMON-BASED RECORDING WORKFLOW │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 1. ONE-TIME SETUP (if not done): │
│ /asciinema-tools:daemon-setup │
│ → Configures launchd daemon with Keychain credentials │
│ │
│ 2. GENERATE BOOTSTRAP (in Claude Code): │
│ /asciinema-tools:bootstrap │
│ → Generates tmp/bootstrap-claude-session.sh │
│ │
│ 3. EXIT CLAUDE and RUN BOOTSTRAP: │
│ $ ./tmp/bootstrap-claude-session.sh ← NOT source! │
│ → Writes config for daemon │
│ → Starts asciinema recording │
│ │
│ 4. WORK IN RECORDING: │
│ $ claude │
│ → Daemon automatically pushes chunks to GitHub │
│ │
│ 5. EXIT (two times): │
│ Ctrl+D (exit Claude) → exit (end recording) │
│ → Daemon pushes final chunk │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
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.
- 1mo ago First seen · 400 lines · 22 tokens per session scan D d3ccc3a433ae
bootstrap is a skill published in the GitHub repository terrylica/cc-skills (0 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 3,371 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it D with 2 findings (asks the agent to reveal its instructions, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
example-feature-generator
Generate boilerplate for new features following project conventions. Use when user says "create feature", "add feature", or "new feature scaffolding".
Vizra ADK Memory System
Implement persistent memory, session context, and vector memory (RAG) for AI agents.
authentication-patterns
OAuth 2.0, JWT, SSO, MFA, NextAuth/Clerk/Supabase Auth implementation patterns.
agent-flutter-developer
Specialist subagent: Flutter/Dart cross-platform development, Riverpod state management, and platform channels specialist. Use when building Flutter apps, implementing state management, or working with native platform features. Trigger phrases: Flutter, Dart, Riverpod, Bloc, widget, MaterialApp, GoRouter, platform…
content-repurposer
Adapt content across platforms with tone/format shifting — blog to social, long to short, text to visual outline. Use when repurposing content for different channels, audiences, or formats.
electron-desktop
Desktop application development with Electron for Windows, macOS, and Linux. Use when building cross-platform desktop apps, implementing native OS features, or packaging web apps for desktop.