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MohdSaleh

io.github.MohdSaleh/tinyfish-guided-research

by MohdSaleh
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Python
Hybrid

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    • genpark-multihop-research-query-decomposer-skill by alphaparkinc

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      Enables decomposition of complex research queries into multi-hop sub-queries and synthesis DAGs, with scientific consensus analysis, citation credibility verification, and deterministic JSON outputs for MCP-compliant clients.
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    • genpark-deep-research-consensus-engine-skill by alphaparkinc

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    • Wagalo

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      Enables coding agents to run local-first web research: intent-routed search across independent engines with reranking, a multi-stage fetch/crawl ladder, and document extraction. Results come back as signed-cursor, citation-bearing evidence envelopes, with an optional separately enabled profile for browser click/type actions.
      AGPL 3.0
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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.3/5.0

    Scored across 20 tools

    Disambiguation5/5

    Each tool has a clearly distinct role in the research pipeline: planning, health checks, initialization, parallel retrieval, discovery, screening, claim lifecycle (register, split, revise, override), evidence binding, judging, assessment, gap targeting, unified review, context retrieval, tension recording, citation audit, finalization, and state inspection. Even overlapping tools like review_candidates vs bind_evidence are explicitly distinguished by the description, leaving no ambiguity for an agent.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern (e.g., plan_research, dispatch_parallel_subagents, verify_citations). The naming convention is uniform and predictable, making it easy for an agent to infer action and target from each name.

    Tool Count4/5

    With 20 tools, the surface is larger than the typical 3–15 range, but the complexity of the guided research workflow—spanning planning, retrieval, claim management, evidence handling, and finalization—justifies the count. Each tool has a specific purpose and the number is proportionate to the domain's needs, though it is on the heavier side.

    Completeness5/5

    The tool set covers the entire research lifecycle: from plan validation and server health checks to parallel retrieval, source screening, claim registration/splitting/revising, evidence binding and judging, claim assessment, targeted gap filling, unified review, tension recording, citation verification, finalization, and state inspection. No obvious dead ends or missing operations are apparent; the surface is comprehensive and well-integrated.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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