ToolTrust
C33/100
Smithery

octomil-octomil

mcpsmithery

@Smithery

Manage, optimize, and deploy machine learning models to edge devices with automated hardware-aware configurations. Generate, review, and test code using local inference to reduce costs and enhance privacy. Benchmark model performance and scan codebases to identify the most efficient on-device integration points.

By Smithery | 35 findings | Scanned 5/12/2026 | tooltrust-scanner/v0.3.9

1 Critical4 High6 Medium2 Low22 Info

Risk Summary

Needs Approval

Dep Visibility plus Excessive Permissions raises enough risk that this tool should not be auto-trusted.

Potential impact: This finding indicates the tool should be reviewed before it is trusted.

Recommended action: Keep this tool behind manual approval and avoid unattended runs until the risky capabilities are narrowed or removed.

Suggested policy: keep this tool behind manual approval, do not allow unattended runs, and re-scan after narrowing risky permissions.

Security Findings (35)

  • CriticalAS-006

    💻Arbitrary Code Execution

    heuristic signal

    scan_codebase:tool name or description implies arbitrary script/code execution (evaluate_script, execute javascript, etc.)

    Fix: This tool can execute arbitrary code or shell commands on the host system. Remove it unless strictly required. If kept: (1) restrict access to trusted users/agents only, (2) require human approval before each invocation (Claude Desktop: set approval_required: true; other clients: enable equivalent confirmation), (3) use the most restrictive sandbox or read-only mode available, and (4) never expose this tool to untrusted input sources.

  • HighAS-002

    ⚠️Excessive Permissions ×2

    tool declares exec permission

    generate_codeplan_deployment

    Fix: Tool requests broad permissions (exec/fs/network). Validate input parameters using Enums where possible, and restrict file system operations to explicit allowed directories.

  • HighAS-010

    🔑Insecure Secret Handling ×2

    input parameter "max_tokens" appears to accept a secret or credential

    run_inference

    input parameter "n_tokens" appears to accept a secret or credential

    benchmark_model

    Fix: Avoid accepting raw credentials as input parameters. Use secret managers (e.g. 1Password CLI, AWS Secrets Manager) and ensure credentials are never logged or stored in agent traces.

  • MediumAS-002

    ⚠️Excessive Permissions ×6

    tool declares fs permission

    write_testsreview_fileanalyze_filesresolve_modelconvert_modelscan_codebase

    Fix: Tool requests broad permissions (exec/fs/network). Validate input parameters using Enums where possible, and restrict file system operations to explicit allowed directories.

  • LowAS-011

    ℹ️Missing Rate-Limit / Timeout ×2

    tool performs network or execution operations but declares no rate-limit, timeout, or retry configuration

    generate_codeplan_deployment

    Fix: Declare explicit rate-limit, timeout, and retry configuration for all network and execution tools. Implement exponential back-off and surface resource state to the calling agent.

  • InfoAS-014

    ℹ️Dependency Inventory Unavailable ×22

    Tool did not expose metadata.dependencies or repo_url, so supply-chain coverage is limited.

    generate_codereview_codeexplain_codewrite_testsrun_promptreview_fileanalyze_filesresolve_modellist_modelsdetect_enginesrun_inferenceget_metricsdeploy_modelconvert_modeloptimize_modeldetect_hardwarebenchmark_modelrecommend_modelscan_codebasecompress_promptplan_deploymentembed_text

    Fix: Review and remediate the identified issue.

Scan this tool yourself

Reproduce this audit locally, integrate into CI, or let your agent audit its own tools.

Install once, then scan any MCP server:

$ curl -sfL https://raw.githubusercontent.com/AgentSafe-AI/tooltrust-scanner/main/install.sh | bash
$ tooltrust-scanner scan --server "npx -y octomil-octomil"

Adjust the package name if your npm registry name differs from the tool ID. View source

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