Aria_moltbot aria-performance

Log and query Aria's performance reviews and self-assessments.

install
source · Clone the upstream repo
git clone https://github.com/Najia-afk/Aria_moltbot
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/Najia-afk/Aria_moltbot "$T" && mkdir -p ~/.claude/skills && cp -r "$T/aria_skills/performance" ~/.claude/skills/najia-afk-aria-moltbot-aria-performance && rm -rf "$T"
manifest: aria_skills/performance/SKILL.md
source content

aria-performance

Log and query Aria's performance reviews, self-assessments, and improvement tracking.

Usage

exec python3 /app/skills/run_skill.py performance <function> '<json_args>'

Functions

perf_log

Log a performance review entry.

exec python3 /app/skills/run_skill.py performance perf_log '{"period": "daily", "score": 85, "summary": "Completed 5 tasks, helped with code reviews", "strengths": ["fast responses", "code quality"], "improvements": ["context retention"]}'

perf_list

Get performance history.

exec python3 /app/skills/run_skill.py performance perf_list '{"period": "daily", "limit": 10}'

perf_stats

Get performance trends and statistics.

exec python3 /app/skills/run_skill.py performance perf_stats '{"days": 30}'

API Endpoint

  • GET /performance
    - List performance logs
  • POST /performance
    - Create performance entry

Database Schema

performance_log:

ColumnTypeDescription
idSERIALPrimary key
periodTEXTReview period
scoreNUMERICPerformance score
summaryTEXTSummary text
strengthsJSONBStrengths array
improvementsJSONBImprovements array
metadataJSONBAdditional data
created_atTIMESTAMPCreation time