compute_ssim_analysis
Compute block-based SSIM analysis on a set of frame images. Uses 8x8 blocks with parallel ProcessPoolExecutor. Returns SSIM scores, adaptive threshold (max(0.70, median - 2*std)), flicker classification (rapid_oscillation / sustained_change / single_glitch), and severity (HIGH/MEDIUM/LOW).
This record as markdown: /tools/io-github-homenshum-nodebench/compute-ssim-analysis.md
What compute_ssim_analysis does on Nodebench
AI agents invoke compute_ssim_analysis to trigger actions in Nodebench. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why compute_ssim_analysis is rated High
This tool executes a computational analysis pipeline using parallel processing (ProcessPoolExecutor) on image data. It runs code to produce derived metrics (SSIM scores, thresholds, classifications) rather than simply reading stored data. It has no destructive or financial impact, but it does trigger active computation/execution with external resource usage.
From the tool's definition Compute block-based SSIM analysis on a set of frame images. Uses 8x8 blocks with parallel ProcessPoolExecutor.
Attacks that exploit this kind of access
The rule that runs compute_ssim_analysis safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For compute_ssim_analysis, this is the rule to start with:
compute_ssim_analysis stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every compute_ssim_analysis call is checked against it from then on.
Questions about compute_ssim_analysis
Compute block-based SSIM analysis on a set of frame images. Uses 8x8 blocks with parallel ProcessPoolExecutor. Returns SSIM scores, adaptive threshold (max(0.70, median - 2*std)), flicker classification (rapid_oscillation / sustained_change / single_glitch), and severity (HIGH/MEDIUM/LOW). It is categorised as a Execute tool in the Nodebench MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Nodebench MCP server in PolicyLayer and add a rule for compute_ssim_analysis: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Nodebench. Nothing to install.
compute_ssim_analysis is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the compute_ssim_analysis rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for compute_ssim_analysis. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
compute_ssim_analysis is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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