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.
git clone --depth 1 https://github.com/closedloop-ai/claude-pluginsWrote 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/commands/closedloop-ai/claude-plugins/agent-bootstrap)<a href="https://agentmods.dev/commands/closedloop-ai/claude-plugins/agent-bootstrap"><img src="https://agentmods.dev/badge/commands/closedloop-ai/claude-plugins/agent-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/commands/closedloop-ai/claude-plugins/agent-bootstrap"><img src="https://agentmods.dev/badge/commands/closedloop-ai/claude-plugins/agent-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 | $0.00000 | $0.01910 |
| Opus 5.5 | $0.00000 | $0.00764 |
| Sonnet 5.5 | $0.00000 | $0.00382 |
| Haiku 4.5 | $0.00000 | $0.00191 |
Grade A, and why
agent-bootstrap 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 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.
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 — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Bootstrap Command
Analyzes a codebase and automatically generates a custom suite of project-specific domain expert agents tailored to the project.
Usage
/agent-bootstrap [options]
Options
Core Options
--target-command <name>- Target command to generate agents for (default: "code")--depth quick|medium|deep- Discovery thoroughness level (default: "medium")quick: Fast scan, basic detectionmedium: Balanced analysis with pattern recognitiondeep: Comprehensive codebase analysis
--focus <area>- Constrain analysis to specific areas (frontend, backend, infra, mobile, web)--output-dir <path>- Where to write generated agents (default:.claude/agents/)
Execution Modes
--dry-run- Preview what would be generated without writing files--interactive- Ask clarifying questions during discovery--update- Regenerate outdated agents based on project changes--minimal- Generate only required agents (test-strategist, security-privacy)--enhance- Run full analysis and generate comprehensive agent suite--add-domain <domain>- Add agents for specific domain (data-persistence, caching, etc.)
Conflict Resolution
--strategy backup|skip|overwrite|interactive- How to handle existing agent filesbackup(default): Backup existing files to.claude/agents/backup-{timestamp}/before overwritingskip: Only generate new agents, skip existing onesoverwrite: Replace all agents unconditionally (with warning)interactive: Prompt for decision on each conflicting agent
Description
The Agent Bootstrap system is a meta-orchestrator that:
- Analyzes your codebase by reading documentation (CLAUDE.md, README.md, architecture docs)
- Identifies domains of work (not frameworks) - API backend, data persistence, caching, frontend, mobile, etc.
- Maps domains to expert agents based on project complexity and technology choices
- Intelligently decomposes complex agents into specialists where valuable
- Generates agent prompts using LLM expertise (no templates - agents write agents!)
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 · 278 lines · 0 tokens per session scan A c28959b8bf43
agent-bootstrap is a command published in the GitHub repository closedloop-ai/claude-plugins (122 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,910 tokens. 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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digest
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