Full project bootstrap with deep project analysis. Reads package.json, Cargo.toml, go.mod, pom.xml, and other project manifests to generate perfectly tailored CLAUDE.md, .claude/ directory, settings.json with smart permissions, agents, .mcp.json, and .claudeignore. The generated CLAUDE.md include...
Part of the Ccboot server.
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AI agents invoke ccboot_init_project to trigger processes or run actions in Ccboot. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
ccboot_init_project can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"ccboot_init_project": {
"limits": [
{
"counter": "ccboot_init_project_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Ccboot policy for all 16 tools.
These attack patterns abuse exactly the kind of access ccboot_init_project gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Full project bootstrap with deep project analysis. Reads package.json, Cargo.toml, go.mod, pom.xml, and other project manifests to generate perfectly tailored CLAUDE.md, .claude/ directory, settings.json with smart permissions, agents, .mcp.json, and .claudeignore. The generated CLAUDE.md includes real build commands, actual dependencies, framework-specific architecture rules, and detected patterns — not generic templates. Examples: ccboot_init_project({ project_path: '.', tech_stack: ['nextjs'], team_size: 5 }) ccboot_init_project({ project_path: './api', tech_stack: ['fastapi'], team_size: 12, compliance: ['hipaa'] }) ccboot_init_project({ project_path: '.', tech_stack: ['springboot'], team_size: 50, compliance: ['sox', 'soc2'] }) Returns: List of all generated files with descriptions. Error handling: Returns actionable suggestions if project_path doesn't exist or isn't writable.. It is categorised as a Execute tool in the Ccboot MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ccboot MCP server in PolicyLayer and add a rule for ccboot_init_project: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Ccboot. Nothing to install.
ccboot_init_project is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the ccboot_init_project rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for ccboot_init_project. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
ccboot_init_project is provided by the Ccboot MCP server (ccboot-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 16 Ccboot tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.