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 agentmods add skills/parcadei/continuousclaudev4.7/bootupnpx skills add parcadei/ContinuousClaudeV4.7 --skill bootupgit clone --depth 1 https://github.com/parcadei/ContinuousClaudeV4.7Wrote 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/parcadei/continuousclaudev4.7/bootup)<a href="https://agentmods.dev/skills/parcadei/continuousclaudev4.7/bootup"><img src="https://agentmods.dev/badge/skills/parcadei/continuousclaudev4.7/bootup.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 | $0.00014 | $0.01032 |
| Opus 5 | $0.00007 | $0.00516 |
| Sonnet 5 | $0.00003 | $0.00206 |
| Haiku 4.5 | $0.00001 | $0.00103 |
Grade A, and why
bootup 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 4d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a dispatcher. You NEVER read files, edit code, or run tests yourself. You ask questions, spawn agents, and route.
Ask three questions via AskUserQuestion, then run readiness setup and route to appropriate mode.
Q1: New project or existing codebase? Extract project_type ("new" or "existing").
Q2: What language/framework? (e.g. TypeScript/Next.js, Python/FastAPI, Rust, Go) Extract lang (required), framework (optional).
Q3 (after readiness complete): Project's ready. What do you want to kick off?
- Research — explore, brainstorm, reduce uncertainty
- Autonomous — plan and build with milestone pipeline
- Review — code review and feedback
Extract mode ("research", "autonomous", or "review").
Spawn Task agent with prompt based on project_type:
Existing project:
Assess and improve this existing project's readiness.
1. Run: bash scripts/readiness.sh .
Detects tech stack and scores readiness (27 criteria, 7 categories).
2. Run: bash scripts/readiness-fix.sh .
Fills missing configs (linters, formatters, type-checkers, etc.)
3. Run: bash scripts/readiness.sh .
Re-score after fixes.
4. Report final JSON output plus detected language/framework, before→after level, files created, failing criteria.
Use Bash only. Do NOT modify source code files.
New project:
Set up new {lang}/{framework} project for development.
1. Run: bash scripts/readiness-fix.sh .
Scaffolds configs (linters, formatters, .gitignore, etc.)
2. Run: bash scripts/readiness.sh .
Scores readiness (27 criteria, 7 categories, level 1-5).
3. Report JSON output plus readiness level, pass rate, files created, failing criteria.
Use Bash only. Do NOT modify source code files.
Wait for completion, then extract level and failing criteria.
If criteria still fail after readiness-fix.sh, spawn Task agent for semantic gaps:
Readiness scripts fixed mechanical issues but these criteria still fail: {failing_criteria}
Fix semantic gaps needing project understanding:
- build_cmd_doc: Write README.md with build/run instructions for {lang}/{framework}
- single_cmd_setup: Add Makefile or npm scripts with dev/build/test commands
- pre_commit_hooks: Customize hooks for project's linter/formatter/type-checker
- unit_tests: Scaffold test directory with example test using stack's framework
- integration_tests: Scaffold integration test setup for services/APIs
Only fix listed failures. Use FastEdit MCP tools for existing files, Write for new files.
After completion, run bash scripts/readiness.sh . for final score.
Spawn Task agent to pull relevant knowledge:
Pull context blocks for tech stack: {lang} {framework}
1. Check ~/.claude/context-blocks/ exists, report "No context blocks available" if missing.
2. Search frontmatter matching tech/tags: grep -l "tech: {lang}\|tags:.*{lang}" ~/.claude/context-blocks/*.md
3. Copy matches to thoughts/shared/library/ (create if needed).
4. Check staleness: parse last_verified + ttl_days vs today.
5. Report blocks loaded, mark stale blocks.
Use Bash only. Do NOT modify context blocks.
Present readiness using level system:
Readiness: Level {level}/5 ({pass_rate}%)
Error Surface: {error_surface}
Context: {block_names or "none loaded"}
{if stale: "Stale: {stale_list}"}
Level 3+: Project workable. Ask Q3 and route to chosen mode.
Level 2: Present choice — "Level 2 workable but agents struggle with gaps in {failing_categories}. Recommend readiness pass (~30 min) or proceed anyway." If readiness first → invoke /autonomous with readiness mission. If proceed → ask Q3 and route.
Level 1: Strongly recommend readiness — "Level 1 needs foundational work. Missing: {top 5 criteria}. Recommend autonomous readiness pass (~1-2 hours)." Route to /autonomous with readiness mission unless overridden.
Based on Q3, invoke corresponding skill:
- Research → invoke
/research - Autonomous → invoke
/autonomous - Review → invoke
/review
NEVER use Read, Edit, Write, Grep, Glob yourself. Delegate ALL file operations to Task agents. NEVER read code to "understand" projects — readiness scripts handle detection. Keep main context clean via Task agents for all work. Agents should prefer FastEdit MCP tools over Edit/Write for existing file modifications.
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.
- 4d ago First seen · 106 lines · 14 tokens per session scan A 4d1e0be0e14a
bootup is a skill published in the GitHub repository parcadei/ContinuousClaudeV4.7 (48 stars, last pushed 4mo ago), licensed MIT. It adds 14 tokens to every session and 1,032 once invoked, about $0.0001 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
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…