smart-token-guard
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- AlicenseNot gradedqualityBmaintenanceTurns silent defects in AI-generated video and audio — wrong speaking pace, mismatched loudness, truncation, dead air, late captions, broken layout — into hard assertion failures inside tests and CI. Enables agents to check individual files or whole output directories against platform presets, returning pass/fail exit codes and human-readable bug reports instead of raw measurements.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to inspect video camera clips through structured quantitative measurements such as exposure, color, sharpness, noise, and camera motion, returning JSON reports and visual scopes instead of relying on frame interpretations.MIT

surehand-mcpofficial
AlicenseAqualityAmaintenanceLets your AI app work inside Adobe After Effects and prove what it did: an exact change report for every edit, pixel-proven restructures, delivery checks against your own spec, template stress tests and verified farm renders.4293MIT- AlicenseCqualityAmaintenanceEnables AI agents to turn natural-language creative direction, transcripts, and source media into fully structured, editable video projects, then verify and render delivery files.254MIT
- AlicenseNot gradedqualityAmaintenanceEnables automated photosensitivity safety pre-checks on video, resolving flash violations to exact frame spans and using AI to identify the on-screen cause.MIT
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TDQS
Scored across 6 tools
Tools are mostly distinct by lifecycle stage: stg_account and stg_pricing cover license/commercials, stg_spend_report covers spend, stg_inspect_render measures technical quality, stg_detect_events finds edit points, and stg_qa_gate makes the final decision. stg_inspect_render and stg_detect_events both analyze video frames, but their outputs and stated uses differ clearly enough.
All tools use the same stg_ prefix and snake_case casing, so the naming is predictable. Names mix verb_noun (stg_inspect_render, stg_detect_events) with noun_phrase labels (stg_account, stg_pricing), but that is a minor deviation rather than an inconsistent convention.
Six tools are well-scoped for a render QA/guarding workflow, with each tool covering a distinct stage: account, pricing, spend, technical inspection, event detection, and final gate. The count is neither thin nor bloated.
The surface covers license status, pricing, spend tracking, technical render inspection, event detection, and a QA decision gate, which is a coherent lifecycle. Minor gaps remain around license activation/configuration and any explicit semantic-defect helper, but agents can work around these by supplying license state and semantic notes themselves.