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Abijith-Kumar-Sinha

Keystone

by Abijith-Kumar-Sinha
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Python
Hybrid

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    Deploy Server
    Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

    TDQS

    A3.7/5.0

    Scored across 15 tools

    Disambiguation5/5

    Each tool targets a distinct resource or analysis angle: single-module risk vs portfolio risk, current knowledge holders vs multi-hop successors, keystone ranking vs per-person counterfactual. Descriptions explicitly state when to use which, so an agent can reliably select among closely related tools.

    Naming Consistency4/5

    All names use lowercase snake_case with no camelCase mixing, and they are broadly descriptive. However, the set mixes verb-led commands (draft_actions, find_modules, note_finding) with noun-led queries (overview, keystones, knowledge_map, successors), so the pattern is not a uniform verb_noun convention.

    Tool Count5/5

    15 tools fit a rich domain spanning graph overview, module discovery, risk analysis, person impact, counterfactuals, memory recall, review workflow, and artifact drafting. Each tool appears to serve a distinct part of the succession-planning workflow without obvious redundancy.

    Completeness4/5

    The surface covers discovery, analysis, planning, review, memory, and artifact generation, with no major dead ends. Minor gaps exist around explicit decision management (e.g., listing or approving decisions outside recall) and direct person/module listing, but core workflows are well covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources