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CodeEraser

by skymanbp
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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    B3/5.0

    Scored across 21 tools

    Disambiguation3/5

    The set clusters into overlapping families: clone/check_duplication/docdup/join/merge_suggestions all concern duplication, and deadcode/flow/graph_sites all concern liveness, while scan/structure/architecture/trend/check all emit report-style metrics. The dense descriptions do differentiate them (T1/T2 vs T3, liveness verdicts vs in-function flow), but an agent could easily misselect within these families.

    Naming Consistency4/5

    Names are uniformly lowercase, using snake_case for compounds (check_duplication, graph_sites, erase_log, merge_suggestions) and single words elsewhere (scan, erase, churn, flow, query). No camelCase or mixed verb styles, though the single-word vs compound mix means the pattern is readable rather than strictly uniform.

    Tool Count4/5

    21 tools is at the heavy end but the domain (multi-faceted static analysis: duplication, dead code, structure, rules, query, diagnostics, updates) genuinely spans that many distinct reports. Each tool appears to earn its place rather than being redundant filler.

    Completeness4/5

    The surface covers the full analysis lifecycle: scanning, dedup, dead code, flow, structure, architecture, rules, Datalog query, trend, doctor, update_check, and erase audit. Applying an erase is deliberately a human act, and query/prelude fill the ad-hoc retrieval gap, so only minor workflow conveniences seem absent.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

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