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agent-fitness

Track and surface sub-agent dispatch calibration ratios. Extract from JSONL transcript or read existing ledger. Per-agent clean/blocked/errored/partial trends.

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wrg32786/aigent-os25 stars(GitHub 25 + cccskills 0)

Run score Not tested

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Files included (1)

  • SKILL.md2.3 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

/agent-fitness

Three modes:

/agent-fitness extract — runs python3 daemons/agent-fitness-extract.py to scan the latest JSONL transcript and append new dispatch rows to memory/AGENT_FITNESS.md. Idempotent (dedup by session_id + tool_use_id).

/agent-fitness (no args) — runs python3 daemons/agent-fitness-report.py. Surfaces:

  • Total dispatches (all-time, last 30d, last 7d)
  • Per-agent calibration table (Total / Clean / Blocked / Errored / Partial / Ratio)
  • Per-agent recent outcome trend (last 10 dispatches encoded as c7 b1 e0 p0)
  • ⚠ Repeat-blocker callouts (any agent with >=2 blocks in window)
  • Top 3 failing (agent, task) pairs

/agent-fitness --days 7 — same as above but windowed to last N days. Useful for "is this agent failing more lately?"

Computation

Calibration ratio per agent: clean / (total − errored). The denominator excludes hard errors (infrastructure/tool failures) and only counts agent-level outcomes.

Trend signal: any agent with >=2 blocks in the window surfaces a repeat-blocker callout. The classifier was hardened in v0.5.1 to catch real Lyra-style block patterns ("BLOCKED:", "are denied", "blocker-found" etc).

When to run

  • After major sessions where multiple sub-agents fired (today S30d had ~7 dispatches)
  • Periodically (weekly?) to spot trends
  • Before relying on a sub-agent for something heavy ("am I about to dispatch an agent that's been failing?")

What it does NOT do

  • Does not auto-reroute dispatches based on calibration. Surfaces data; principal decides.
  • Does not LLM-classify failures — heuristic only (keyword matching on result content).
  • Does not pool across sessions for cluster analysis. Future v0.5.x.
  • Does not include task-type clustering. All tasks pooled per agent.

Cross-links

  • [[concepts/Somatic v0.5.0 Agent Fitness]] — spec
  • [[memory/AGENT_FITNESS]] — the data
  • [[concepts/Somatic Roadmap]]
  • [[memory/TRUST_DECAY]] — sibling claim → outcome ledger

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