Style Dataset Lab MCP Server
@mcptoolshop/style-dataset-lab
npm
v3.4.0
Source verified
Published by mcp-tool-shop-org — publish provenance cryptographically ties this package to that repository. That is proof of origin, not an official vendor package.
Canon-aligned dataset production and generation workbench — define visual rules, build versioned training data, compile production briefs, run local workflows, batch-produce, select winners, and re-ingest into your corpus
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 6 = 94. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −6 | capability blast radius (high) — client exposure if the model is manipulated |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 5
high Shell/command execution in server code (lib/measure.js)MTC-SRC-002
In the server's implementation (`lib/measure.js:22`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: spawnSync } from 'node:child_process'; import { existsSync, readFileSync, statSync, readdirSync, writeFileSync, mkdte
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server lib/measure.js
medium Dynamic module load from a non-literal (bin/sdlab.js)MTC-SRC-005
In the server's implementation (`bin/sdlab.js:622`): Loading a module chosen at runtime (from a variable) can pull in and run attacker-influenced code paths. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: n; const mod = await import(modulePath); await mod.run(commandArgs); } main().catch(handleCliError);
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server bin/sdlab.js
medium Dynamic module load from a non-literal (lib/measure.js)MTC-SRC-005
In the server's implementation (`lib/measure.js:89`): Loading a module chosen at runtime (from a variable) can pull in and run attacker-influenced code paths. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: try:\n' + ' __import__(m)\n' + ' mods[m] = True\n' + ' except ImportError:\n' + '
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server lib/measure.js
medium Dynamic module load from a non-literal (lib/training-adapters.js)MTC-SRC-005
In the server's implementation (`lib/training-adapters.js:74`): Loading a module chosen at runtime (from a variable) can pull in and run attacker-influenced code paths. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: try { return await import(entry.module); } catch (err) { // The registry says it should exist but import fail
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server lib/training-adapters.js
low Shell/command execution in packaging/dev tooling (lib/canon-build/build.js)MTC-SRC-002
In a packaging/dev/install script (shipped, but not the server runtime) (`lib/canon-build/build.js:22`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: { execSync } from 'node:child_process'; import { loadBuildConfig } from './load-config.js'; import { loadSchema } from '
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server lib/canon-build/build.js
What this scan could not see
- No tools were enumerated, so prompt-injection, capability and toxic-flow analysis had no tool surface to inspect. To grade a package’s real runtime tools, scan the running server: --command "npx -y <package>".
Versions 2
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v3.4.0 latest |
A 94/100 | 5 | 1.13.0 | 2026-09-07 |
v3.3.0 |
A 100/100 | 3 | 1.12.1 | 2026-08-04 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
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