[api-consumption] π GitHub API Consumption Report β 2026-08-27 #56358
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π GitHub API Consumption Report
Report Date: 2026-08-27 Β· Repository: github/gh-aw Β· Run: #33081714579
Today at a Glance (partial ~12h window)
π GitHub API Calls Trend (available history)
Only 9 dated entries exist across 2026-08-14 to 2026-08-27, with visible gaps (08-16β08-18, 08-21, 08-24 have no data). The highest single-day total in this history is 2026-08-15 (398,195 calls) and 2026-08-23 (290,274 calls); 2026-08-27's partial-window total of 194,716 is already the third-highest despite covering only ~12h, suggesting the full day's consumption would likely exceed prior peaks.
π GitHub API Calls by Workflow Trend
Per-workflow breakdowns are only available for 3 of the 9 history days (2026-08-14, 08-26, 08-27), so this is a thin trend. Where data exists, Matt Pocock Skills Reviewer, Impeccable Skills Reviewer, Ponytail Reviewer, and PR Code Quality Reviewer dominate β all new/large consumers appearing on 2026-08-27 that weren't previously tracked, which may reflect newly added or recently active workflows rather than an organic trend.
π GitHub REST API Calls Heatmap
Rendered as a date-strip (not a day-of-week grid) since only 9 sparse points exist β a calendar grid would be mostly empty and misleading. The strip makes the multi-day gaps and the 08-15/08-23/08-27 spikes visually obvious without implying data for missing dates.
π© Top API Burners (partial ~12h window)
The top 5 workflows (Matt Pocock Skills Reviewer, Impeccable Skills Reviewer, Design Decision Gate, Ponytail Reviewer, PR Code Quality Reviewer) account for roughly 66% of all REST API quota consumed in this window, each running 15β17 times. This concentration is largely PR-review-style workflows that likely fire on every PR event β a meaningful concentration risk if PR volume spikes.
π GitHub REST API Consumption by Workflow (partial ~12h window)
Matt Pocock Skills Reviewer (27,965 calls / 17 runs β 1,645/run) and Impeccable Skills Reviewer (26,362 / 16 β 1,648/run) lead consumption. None of these workflows individually approach the 15,000/hour rate limit, but their combined per-PR review fan-out (5+ reviewer-style workflows firing on the same PR events) is worth watching if concurrent PR activity increases.
Top 10 Workflows by REST API Consumption (partial ~12h window)
Trending Indicators
π¦ Cache Memory Status
/tmp/gh-aw/cache-memory/trending/api-consumption/history.jsonlAutomatically generated by the api-consumption-report workflow.
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