Record and analyze per-invocation token, tool, and context signals into YAML logs.
npx skills add https://github.com/scilid/Being --skill metabolic-tracker
Please help me install this Agent Skill. Skill: metabolic-tracker Source: https://github.com/scilid/Being/tree/main/organisms/prokaryotes/metabolic-tracker Command: npx skills add https://github.com/scilid/Being --skill metabolic-tracker
It solves the problem of understanding how much energy (token/tool work) and value (quality/efficiency) each Being Skill invocation produces, so you can evaluate fitness and detect regressions.
Use metabolic-tracker after running any Skill so it records that invocation’s metabolism into .being/metabolism/ for later stats and comparison.
High-intent search queries and answers about installing and using this skill.
You can track skill invocation metabolism by recording tokens in, tokens out, tool call counts, and context size into YAML log files. The tool then computes aggregated statistics and efficiency metrics deterministically from those stored records.
Metabolic tracking for skill execution quantifies the energy use and output value of each run by logging token and tool work. It is needed to evaluate skill fitness, measure efficiency, and detect performance regressions over time.
You log skill execution data to YAML by running the tracker after any skill invocation. It extracts token, tool, and context signals, classifies products, and appends a detailed YAML record to the .being/metabolism/ directory for later analysis.
You can compare efficiency and reliability across multiple skills by generating a metabolic comparison report. The tracker uses stored YAML log data to output comparative metrics that support selection pressures in overlapping niches.
Metabolic tracking requires no dependencies to run. The tracker operates independently to read metabolism protocol guidance, extract invocation signals, and generate statistics deterministically from stored YAML logs.
Statistics generated from skill metabolism logs include per-skill totals, averages, success rates, and energy trend comparisons. The tracker compares the last 5 invocations against the historical average to identify recent performance shifts.
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