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Mnehmos / mnehmos.prompts.research

markdownmain3702a0e29.3K linessynced 19h ago

Code health

9.8out of 10Excellent

This codebase scores 9.8 out of 10 on defect risk, which we rate excellent. It also scores maintainability 9.9 and static performance risk 10.0 out of 10. The three are scored separately and never blended into one number.

Full health report →
Documentation33pages0 with model-written prose, 33 built from the indexDead code5exportsUnused exports that nothing in the graph reaches
Lines of code
29.3K
Files
79
Symbols
132
Modules
9
Languages
8

Recent activity

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Commits

No commits indexed yet.

Decisions

  • Astro Migration for Prompt Engineering Taxonomyactive · 19h ago
  • Research Data Integration Implementationactive · 19h ago
  • Add research integration planning and scriptsproposed · 19h ago
  • Normalize research technique schema to match site formatproposed · 19h ago

Needs attention

17 open
  • medium severity. ProposedAdd research integration planning and scriptsAuto-proposed decision awaiting review
  • medium severity. ProposedNormalize research technique schema to match site formatAuto-proposed decision awaiting review
  • medium severity. Knowledge siloastro.config.mjs100% single-owner concentration
  • medium severity. Knowledge siloplaywright.config.ts100% single-owner concentration
  • medium severity. Knowledge silorag-server/frontend/local.config.js100% single-owner concentration

Composition

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markdown 43%typescript 19%json 18%javascript 13%html 4%Other 4%

Explore this codebase

  • Docs33 pages across 9 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files79 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 11 entry points→
  • Code healthPer-file scores, 44 open findings, coverage and refactoring targets→
  • Knowledge graphEntities, communities, and the paths between them→
  • Change couplingFiles that keep changing together, mined from commit history→
  • CommitsChange-risk ranked history with agent provenance→
  • ContributorsBus factor, per-file maintainers, and the human/agent split→
  • StatsSize class, origin, lifetime churn, rhythm and records→
  • CostsWhat indexing this snapshot cost, by model and by run→