The body is lean — a short numbered start-of-run list, a copy-paste JSON log object, and three terse rules — with no concept explanation padding, matching the 'every token earns its place' anchor.

Steps name concrete files (`loop-budget.md`, `loop-run-log.md`, `STATE.md`) and precise thresholds (80%, 100%, <5k tokens), and the end-of-run block gives a complete JSON template, which is copy-paste ready rather than pseudocode.

Start-of-run is a clearly sequenced 1–6 list with explicit decision checkpoints (spend ≥ 80% → report-only; ≥ 100% or loop-pause-all → exit) and an end-of-run logging step, satisfying the clear-sequence-with-checkpoints anchor.

The skill is under 50 lines with no need for external reference docs, and content is cleanly split into well-organized sections (Start of run, End of run, Rules), which per the simple-skill scoring note merits a 3 without bundle files.

Lists multiple concrete actions — 'Check token budget and run-log spend before and after a loop run', 'Enforces early exit when over budget or when there is no actionable work' — matching the multi-action anchor rather than the single-domain score 2.

The 'what' is clear (check budget/spend, enforce early exit), but there is no 'Use when...' clause; the only 'when' is a condition for early-exit, not when to invoke the skill, so per guidelines completeness caps at 2.

Terms like 'token budget', 'over budget' are natural, but 'run-log spend', 'early exit', and 'actionable work' are internal jargon with no common user-facing variations or explicit trigger phrasing.

The loop-run budget-guard niche is distinct — 'before and after a loop run' tied to a run-log and daily caps — making it unlikely to trigger for unrelated skills.