clawmetry-selfcheck

name	clawmetry-selfcheck
description	Read your own agent telemetry from ClawMetry (waste, progress, cost) and act on it before finishing a task. Use when ClawMetry is installed on this machine and you want to check whether you are re-reading files, spinning in loops, or burning budget.

ClawMetry self-check

ClawMetry observes AI agent sessions on this machine (read-only). Use its CLI to see your own telemetry and improve your behaviour mid-task.

All commands are read-only, exit 3 when ClawMetry has no data source running (safe to skip silently), and support --json.

The 3-step check (run before finishing a task)

# 1. Re-read tax: files you paid to read more than once
clawmetry waste --since 6h --json

# 2. Spinning check: forward progress + loop signals
clawmetry progress --json

# 3. Spend check
clawmetry usage --json

How to act on what you find

Signal	Action
A file with reads > 3 in waste	Stop re-reading it. Write its structure into your working notes once; use offset-ranged reads for big files.
High ratio (tokens per state-delta) in progress	You are burning tokens without producing new state. Write down what you tried, change strategy.
loop_signals non-empty	You repeated near-identical calls. Do not retry the same thing; diagnose instead.
Cost spike in usage	Check usage --by model: are you using a bigger model than the task needs?

Digging deeper

clawmetry sessions --active                  # who is running
clawmetry sessions <SID> --transcript        # what actually happened
clawmetry sessions <SID> --cost              # where the money went (incl. sub-agents)
clawmetry sessions <SID> --errors            # error events only
clawmetry activity --follow --max-events 50  # live NDJSON event stream
clawmetry usage --efficiency                 # A-F efficiency grade

Exit codes: 0 ok, 3 no data source (skip), 4 feature needs an upgrade (stderr carries a JSON body with upgrade_url; surface it to your human).