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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables coding agents to inspect files, search text, compare directories, read symbols, and apply structured edits against large codebases through bounded, local-first MCP tools.
      4
      Apache 2.0
    • A
      license
      B
      quality
      A
      maintenance
      Enables AI coding agents and local LLMs to store and recall project memory, compact verbose logs, look up code symbols, create and rewind workspace snapshots, detect risky commands and loops, pack context optimally, and draft tokens through MCP tools.
      10
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to checkpoint workspace state, branch parallel attempts, inspect diffs, and roll back to known-good states mid-task through MCP tools, with automatic safety checkpoints to prevent data loss.
      3 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to perform software engineering tasks inside an isolated, deterministic sandbox—exploring repositories, reproducing failures, applying patches, running tests, and verifying solutions against hidden suites through MCP tools.
      8
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI coding agents and hosts to enforce deterministic repository boundaries via MCP, providing structured reads, supervised edits, snapshots, audits, and recovery with machine-readable evidence.
      MIT

    TDQS

    A3.8/5.0

    Scored across 8 tools

    Disambiguation4/5

    Most tools occupy distinct phases (read, mutate, compute, orchestrate), and descriptions include explicit USE/DO NOT USE boundaries. However, vfs_mutate and ghost_sandbox both stage mutations in the Ghost overlay, and graph_compute overlaps slightly with vfs_inspect for code location, so an agent could confuse those boundaries.

    Naming Consistency4/5

    All names use lowercase snake_case without camelCase or inconsistent casing. The structure is not a strict verb_noun pattern; some are domain-prefixed actions (vfs_inspect), others are noun compounds (ghost_sandbox, causal_flight), but it remains readable and predictable.

    Tool Count5/5

    Eight tools are well-scoped for a speculative coding agent workflow, and each covers a distinct capability area (inspect, mutate, compute, sandbox, flight recorder, hypotheses, task sync, orchestration). No obvious redundancy that bloats the surface.

    Completeness4/5

    The set covers the core lifecycle: inspect, search/compute, speculative mutation, sandbox testing/commit/discard, causal tracking, hypothesis falsification, task persistence, and orchestration. Minor gaps exist around direct task query/list/delete or explicit file creation/deletion, but agents can likely work around them via overlay and wiki operations.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues