Bootstrap
Deploy Botte Secrète's token-saving stack into a target project — wire the botte-llm MCP server into .mcp.json, audit the project's agent directives, and write a .botte config + setup report. Use when the user wants to "install botte", "set up token savings on a project", reduce an existing project's token/cost usage, or onboard a repo to local-first routing. This is the capstone that makes the t…
Install
$ agentstack add skill-zedarvates-botte-secrete-bootstrap ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-zedarvates-botte-secrete-bootstrap) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
bootstrap — deploy the toolkit into a project
The whole point of Botte Secrète is to make real projects cheaper to work on. This installs the stack into any project in one command.
Run it
python -m skills.bootstrap.cli /path/to/project
python -m skills.bootstrap.cli /path/to/project --create-agents-md # scaffold AGENTS.md if missing
python -m skills.bootstrap.cli /path/to/project --scan-subnet --jsonWhat it does (idempotent)
- Discover local backends (
llm_backends) so routing has somewhere to send work. - Wire MCP — merges the
botte-llmserver into the project's.mcp.json
(non-destructive; keeps any existing servers). The project's agent then gains: auto_route, local_chat, fusion, find_skills, audit_local_usage, route_task, discover_backends, list_models.
- Audit directives (
directives_audit) — reports the CLAUDE.md/AGENTS.md
health; with --create-agents-md, scaffolds a starter AGENTS.md when none exists.
- Write
.botte/config.json— chosen local model, detected cloud keys,
token budget, routing mode (auto).
- Write
.botte/setup-report.json+ print a summary with next steps.
Result
The project's agent now routes cheap work (classification, extraction, summaries, tool/skill search) to local models for 0 cloud tokens, escalates only the hard parts to the cloud (auto_router), and picks tools with find_skills instead of reading every skill description with the expensive model.
.mcp.json and .botte/ hold per-machine absolute paths, so they are gitignored in this repo — deploy on each machine.
Related: [[llmmcp]] (the tools wired in), [[autorouter]], [[skillfinder]], [[directivesaudit]], [[llm_backends]].
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: zedarvates
- Source: zedarvates/botte-secrete
- License: MIT
- Homepage: https://github.com/zedarvates/botte-secrete
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.