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SKILL verified MIT Self-run

Infra Advisor

skill-zedarvates-botte-secrete-infra-advisor · by zedarvates

Audit the local cluster's hardware/software/MCP setup and recommend changes that cut token cost — GPU upgrades, Hailo NPU for vision, moving the inference node to Linux, running Qdrant locally, wiring MCP — with an ASCII cluster diagram. Also provides an auto one-pass audit (directives + infra + code duplication + skills) on the project. Use when the user asks how to reduce token/usage cost via h…

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Install

$ agentstack add skill-zedarvates-botte-secrete-infra-advisor

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

infra_advisor — cut token cost beyond the code

Most audits only look at code. This looks at the machine and the local cluster and recommends concrete hardware/software/infra changes that move work off paid cloud models — then bundles a fast one-pass audit of the project.

Commands

# Cluster tips + ASCII diagram
python -m skills.infra_advisor.cli tips
python -m skills.infra_advisor.cli tips --subnet --json

# One-pass audit on the project where Botte Secrète is installed
python -m skills.infra_advisor.cli auto .
python -m skills.infra_advisor.cli auto /path/to/project --json

Infra tips (rules, prioritized P0→P3)

  • Install a local LLM (LM Studio/Ollama) if none — the foundation for any saving.
  • Add/upgrade a GPU (≥12-16 GB VRAM) → run a 7-14B coder locally.
  • Add a Hailo-8 / 8L / 10 NPU → vision (detection/OCR/PDF) at ~0 tokens via media_loader.
  • Move the always-on inference node to Linux/WSL2 → no forced Windows reboots/updates

killing the endpoint; more free VRAM/RAM.

  • Run Qdrant locally → unlock the semantic response cache (-60% repeats).
  • Dedicate the strongest host as a shared inference node for all projects.
  • Wire the MCP server (bootstrap) so the agent actually uses the local tools.

Each tip carries why and an impact (expected token/cost effect). An ASCII cluster diagram is rendered by default (--json for machine-readable).

Auto audit

auto combines the cheap, reliable passes into one report: directives health (directives_audit) · infra tips + diagram · duplicate function bodies across files (stdlib AST, free) · skill catalog size · plus pointers to deeper passes (full mousquetaires/fallow pipeline, skill_project_optimizer, understand-anything, botte terminal compression).

Exposed via [[llmmcp]] as infra_tips and auto_audit. Related: [[bootstrap]], [[llmbackends]], [[directivesaudit]], [[skillfinder]].

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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