A
licenseA
qualityA
maintenanceEnables AI agents to persistently recall, apply, and reinforce solutions to previously solved problems across different models and tools, so mistakes are not repeated.
14
4 npm
1
MIT
Kira
by benyalgx
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TDQS
A4.3/5.0
Scored across 10 tools
Disambiguation4/5
Each tool has a distinct role in the skill/scar lifecycle: lookup, retrieval, planning, reporting, consent, status, pre-mortem, recording, briefing, and sharing. There is mild overlap between lookup, premortem, and personal_brief in surfacing scars, but their use cases are clearly differentiated by timing and intent.
Naming Consistency4/5
All tools share the kira_ prefix and use clean, readable names. Most follow a verb_noun pattern (record_failure, share_scar, personal_brief), though a few are noun-like (status, consent, premortem), creating minor inconsistency without harming predictability.
Tool Count5/5
Ten tools is well-scoped for a skill-and-scar assistant: discovery, planning, execution support, feedback capture, personal memory, sharing, privacy, and status are all covered without redundancy. Each tool earns its place in the workflow.
Completeness4/5
The core workflow is complete: plan/route, lookup, retrieve details, run, report, capture failures, and review personal scars. Minor gaps exist such as no way to edit or delete personal scars and no direct skill creation tool, but these are outside the agent-facing usage loop and can be worked around.
Maintenance
ActivityInactive
ResponsivenessNo issues