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Guruprasath-Annadurai

WhitePact

by Guruprasath-Annadurai
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Python
Hybrid

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    TDQS

    A3.7/5.0

    Scored across 30 tools

    Disambiguation5/5

    Despite covering overlapping governance themes, descriptions carry explicit 'use X instead of Y' guidance (e.g., rai_compliance vs rai_eu_ai_act_classify, rai_trust_score vs rai_check_trust), and the scan-family (rai_scan/rai_stream_scan/rai_pii_report) and memory-family tools are clearly differentiated. Each tool has a distinct resource+action target with no true duplicates.

    Naming Consistency5/5

    Every tool uses a uniform rai_ prefix with a consistent snake_case convention (rai_trust_score, rai_policy_check, rai_bias_evaluate). No mixing of camelCase, no erratic verb styles.

    Tool Count3/5

    30 tools is heavy and pushes past the comfortable ceiling, even if the governance domain is genuinely broad (privacy, security, compliance, cost, bias, audit). Most tools earn their place, but a set this large increases selection burden for agents.

    Completeness5/5

    The surface covers an unusually full governance lifecycle: scanning, trust scoring, bias evaluation, compliance (NIST/EU AI Act/ISO 42001), red-teaming, cost/budget, drift, passports, incident logging, and memory/provenance gating. No obvious dead ends for the stated purpose.

    Maintenance

    ActivityActive
    ResponsivenessResponsive

    Resources