| FMRS | 50 / 100 · D | 79 / 100 · B |
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| Reliability | 7 / 20 | 12 / 20 |
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| Security and permissions | 8 / 20 | 18 / 20 |
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| Maintenance | 8 / 20 | 16 / 20 |
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| Documentation | 14 / 20 | 18 / 20 |
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| Setup experience | 13 / 20 | 15 / 20 |
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| Best for | - Developers who run LLMs locally
- Users needing hardware-aware model selection and Ollama management
- Teams requiring deterministic scoring, calibrated routing, or policy audits
- Users who want structural checks before running downloaded models
| - Engineering teams scaling AI coding agents while controlling spend
- Platform teams that need auditable, rollback-aware agent execution records
- Organizations using multiple agents (Claude, Codex, Gemini) under one governed flow
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| Not for | - Users without Node.js or local Ollama
- Cloud-hosted inference workflows rather than local inference
- Complete guarantees about model behavior, provenance, or poisoned weights
- Arbitrary system command execution beyond the MCP allowlist
| - Developers who just want a simple code-completion helper without run governance
- Teams unwilling to accept local JSONL run records with HMAC signing
- Environments without a supported adapter (Claude/Codex/Gemini CLIs, direct provider, or verifier-only)
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| Required permissions | - Read local CPU, GPU, memory, and acceleration information
- Access local Ollama model directories and the running Ollama environment
- Depending on the tool, download, run, or remove models and execute prompts
- Read specified project directories or model files for project recommendations and verification
- Execute allowlisted LLM Checker CLI commands
| - Read/write access to the configured repo root (writable scope restrictable via --allow-path/--deny-path)
- Ability to invoke the chosen agent CLI (Claude/Codex/Gemini, etc.) and its underlying model account
- Local disk writes for run records, receipts, and share outputs (share/run-receipt., etc.)
- Execution of user-configured verifier commands (e.g. npm test)
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| Risks and side effects | - ollama_pull downloads models and consumes network bandwidth and disk space.
- ollama_remove deletes local models and the data they occupy.
- ollama_run and cli_exec can run local model or CLI workflows, so prompts and arguments should be reviewed.
- Structural acceptance only indicates that a file is structurally safe to load; it does not establish model behavior, provenance, or absence of poisoned weights.
- Files above 3 GiB may exceed the WASM32 verification memory ceiling and produce no verdict.
| - Verifier commands are executed; poorly chosen verifier commands carry security risk despite preflight policy checks
- Cost and token figures may be estimates (labeled with provenance) and should not be treated as settled accounting
- Receipt integrity must be verified before use as trustworthy evidence; missing rollback evidence is flagged as EVIDENCE_BOUNDARY
- Policy defaults come from martin.config.yaml and can be overridden by CLI flags; misconfiguration can loosen safety boundaries
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| Supported clients | Claude Code, Codex, Grok, Kimi Code, Cursor, Windsurf, Gemini CLI | Claude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue |
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| Tools | 28 | 0 |
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