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hivefiver-mcp-research-loop

hivefiver-mcp-research-loopSafety 90Repository

Run iterative MCP-backed research with provider readiness checks, confidence scoring, contradiction control, and fallback governance.

47 stars
1.2k downloads
Updated 2/21/2026

Package Files

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SKILL.md

HiveFiver MCP Research Loop

Use this skill when planning or architecture decisions require evidence-backed research.

Workflow

  1. Run provider readiness check.
  2. Build query matrix by domain lane.
  3. Retrieve evidence in grounded order:
  • DeepWiki + Repomix (repository grounding)
  • Context7 (official semantics)
  • Tavily + Exa (external corroboration)
  1. Build contradiction register.
  2. Score confidence and emit setup TODOs.

Provider Contract

Required providers:

  • Context7
  • DeepWiki
  • Repomix
  • Tavily
  • Exa (MCP or provider-native)

If any provider is unavailable, continue but downgrade confidence.

Confidence Contract

  • full: corroborated, no critical gaps.
  • partial: usable with non-critical gaps.
  • low: critical gaps or unresolved contradictions.

Retry Contract

  • Validate contradictions up to 10 iterations.
  • At attempt 10, force explicit caveat block.

DeepWiki QA Translation

  • Use transformed context layers for control.
  • Keep output structure stable.
  • Treat TODO/task updates as first-class state.

References

  • references/provider-matrix.md

Template

  • templates/evidence-table.md

Scripts

  • scripts/check-mcp-readiness.mjs
  • scripts/score-confidence.sh

Install

Download ZIP
Requires askill CLI v1.0+

AI Quality Score

79/100Analyzed 2/25/2026

Well-structured technical reference skill with clear workflow, provider/confidence contracts, and retry governance. Located in dedicated skills folder with proper tags. Lacks concrete command examples for direct execution but provides solid framework for MCP-backed research. Medium-low internal-only signal due to project-specific references."

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Metadata

Licenseunknown
Version-
Updated2/21/2026
Publishershynlee04

Tags

ci-cdgithub-actions