π Executive Summary
- Period: last 24 hours (2026-08-27 to 2026-08-28)
- Total runs: 309 (all completed)
- Total AI credits: 953.5553 AIC
- Estimated observed cost: $9.5356 USD (
total AI credits * $0.01; billing estimate β dashboards are authoritative)
- Total tokens: 1,157,851
- Total Actions minutes: 322.0 min
- Active workflows: 18
- Next 7 days: P10 30.75 AIC / $0.31, P50 266.08 AIC / $2.66, P90 649.27 AIC / $6.49
- Next 30 days: P10 635.83 AIC / $6.36, P50 1285.55 AIC / $12.86, P90 2205.24 AIC / $22.05
π Top 5 Workflows by AI Credit Spend
| Workflow |
Runs |
Total AI Credits |
Avg AI Credits |
| Multi-Device Docs Tester |
12 |
585.7781 |
48.8148 |
| CAO Dashboard Review |
12 |
245.9078 |
20.4923 |
| Daily Dashboard Language Renderer |
7 |
121.8694 |
17.4099 |
| Multi-Device Docs Tester (unlabeled path) |
5 |
0.0 |
0.0 |
| Dependabot / Release Train Updater |
21 |
0.0 |
0.0 |
Cost Forecast
Forecasts are estimates derived from historical samples (30-day monte-carlo simulation, gh aw forecast, exit_code=0, valid JSON). Billing dashboards are authoritative.
| Horizon |
P10 optimistic |
P50 median |
P90 conservative |
| Next 7 days |
30.75 AIC / $0.31 USD |
266.08 AIC / $2.66 USD |
649.27 AIC / $6.49 USD |
| Next 30 days |
635.83 AIC / $6.36 USD |
1285.55 AIC / $12.86 USD |
2205.24 AIC / $22.05 USD |
Repository-level totals above are sums of per-workflow projections, not an independently simulated portfolio confidence interval.
Top workflows by monthly P50 AIC:
| Workflow |
Sampled Runs |
Weekly P50 |
Monthly P10 |
Monthly P50 |
Monthly P90 |
Est. Monthly P50 USD |
| Daily Dashboard Language Renderer |
16 |
108.72 |
272.86 |
498.28 |
776.87 |
$4.98 |
| Multi-Device Docs Tester |
22 |
97.86 |
237.17 |
445.37 |
700.77 |
$4.45 |
| CAO Dashboard Review |
12 |
47.90 |
114.12 |
242.13 |
418.21 |
$2.42 |
| Daily Dashboard Language Specification Review |
4 |
11.60 |
11.68 |
47.94 |
101.99 |
$0.48 |
| Dependabot |
1 |
0.00 |
0.00 |
23.10 |
92.39 |
$0.23 |
Complete per-workflow forecast table
40 workflows are tracked by the forecaster (many are sub-jobs/dispatched workers with 0β1 sampled runs in the last 30 days, producing unreliable or point-estimate projections). See forecast.json for the full raw output; summarized aggregates are in forecast_summary.json.
Forecast Confidence and Data Quality
- Forecast command completed successfully:
exit_code=0, json_valid=true.
- 54 data-quality flags were raised across 40 tracked workflows, dominated by workflows with 0β1 sampled runs in the last 30 days (unreliable Monte Carlo, several with
sampled_runs: 0 and no monte-carlo object at all β e.g. Docs Explanatory Diagram Generator, Ambient Context, AW Failures, EU CRA Advisor sub-workflows, Enterprise canary/review-stress, SVG Visual Audit).
- Several workflows also show wide P90/P50 intervals (>2x), reflecting high variance in per-run AIC (e.g. Daily Dashboard Language Specification Review, Dependabot, Optimization, Advisory).
- No missing top-spend workflows detected β the 3 largest observed spenders (Multi-Device Docs Tester, CAO Dashboard Review, Daily Dashboard Language Renderer) all have reliable (
is_reliable=true) Monte Carlo projections with β₯12 sampled runs.
π Trends

This is the first day a snapshot has been recorded in repo-memory for this repository (rolling-summary.json currently has 1 entry), so the historical trend chart is skipped β fewer than 2 data points are available. Trend comparisons will begin appearing once a second daily snapshot is collected.
Full Per-Workflow Breakdown
| Workflow |
Path |
Runs |
Total AIC |
Avg AIC |
Errors |
Warnings |
| Multi-Device Docs Tester |
.github/workflows/multi-device-docs-tester.lock.yml |
12 |
585.7781 |
48.8148 |
0 |
0 |
| CAO Dashboard Review |
.github/workflows/cao-dashboard-review.lock.yml |
12 |
245.9078 |
20.4923 |
0 |
0 |
| Daily Dashboard Language Renderer |
.github/workflows/daily-dashboard-language-renderer.lock.yml |
7 |
121.8694 |
17.4099 |
1 |
0 |
| Multi-Device Docs Tester (dispatched job, no path) |
n/a |
5 |
0.0 |
0.0 |
0 |
0 |
| Dependabot / Release Train Updater |
n/a |
21 |
0.0 |
0.0 |
0 |
0 |
| EU CRA Advisor / Scope Classifier |
n/a |
20 |
0.0 |
0.0 |
0 |
0 |
| Ambient Context / AGENTS.md Curator |
n/a |
20 |
0.0 |
0.0 |
0 |
0 |
| EU CRA Advisor / Security Requirements Auditor |
n/a |
20 |
0.0 |
0.0 |
0 |
0 |
| EU CRA Advisor / Vulnerability Handling Auditor |
n/a |
19 |
0.0 |
0.0 |
0 |
0 |
| EU CRA Advisor / Supply Chain SBOM Auditor |
n/a |
20 |
0.0 |
0.0 |
0 |
0 |
| Advisory / UK AI Operational Resilience |
n/a |
19 |
0.0 |
0.0 |
0 |
0 |
| Optimization / AI Credit Optimizer |
n/a |
20 |
0.0 |
0.0 |
0 |
0 |
| AW Failures / Investigator |
n/a |
19 |
0.0 |
0.0 |
0 |
0 |
| Ambient Context / Skills Curator |
n/a |
20 |
0.0 |
0.0 |
0 |
0 |
| EU CRA Advisor / Conformity Release Evidence |
n/a |
20 |
0.0 |
0.0 |
0 |
0 |
| EU CRA Advisor / Article 14 Reporting Readiness |
n/a |
19 |
0.0 |
0.0 |
0 |
0 |
| Optimization / AI Credit Auditor |
n/a |
18 |
0.0 |
0.0 |
0 |
0 |
| AW Maintenance / Upgrade |
n/a |
18 |
0.0 |
0.0 |
0 |
0 |
π‘ Observations
- Heavy hitter: Multi-Device Docs Tester accounts for 585.78 / 953.56 AIC (~61.4% of total spend) β well above the 30% threshold.
- High avg AIC/run (>1.00 AIC): Multi-Device Docs Tester (48.81), CAO Dashboard Review (20.49), Daily Dashboard Language Renderer (17.41).
- Daily Dashboard Language Renderer recorded 1 error across 7 runs; no other elevated error/warning rates observed.
- The 15 remaining workflows in this window (mostly dispatched sub-jobs of Dependabot, EU CRA Advisor, Ambient Context, Optimization, Advisory, AW Failures/Maintenance families) logged 0.0 AIC and 0 tokens in this snapshot β likely orchestrator/dispatch-only runs whose cost is attributed elsewhere, or lightweight no-op runs. Worth a closer look if this persists across future snapshots.
Data snapshot: memory/token-audit/githubnext__central-agentic-ops__2026-08-28.json
Control Plane
Generated by π Optimization / AI Credit Auditor Β· copilot Β· auto Β· 65.7 AIC Β· β 8.13 AIC Β· β 19.6K Β· β·
Add this agentic workflow to your repo
To install this agentic workflow, run
gh aw add githubnext/central-agentic-ops/.github/workflows/optimization-ai-credit-auditor.md@main
π Executive Summary
total AI credits * $0.01; billing estimate β dashboards are authoritative)π Top 5 Workflows by AI Credit Spend
Cost Forecast
Forecasts are estimates derived from historical samples (30-day monte-carlo simulation,
gh aw forecast, exit_code=0, valid JSON). Billing dashboards are authoritative.Repository-level totals above are sums of per-workflow projections, not an independently simulated portfolio confidence interval.
Top workflows by monthly P50 AIC:
Complete per-workflow forecast table
40 workflows are tracked by the forecaster (many are sub-jobs/dispatched workers with 0β1 sampled runs in the last 30 days, producing unreliable or point-estimate projections). See
forecast.jsonfor the full raw output; summarized aggregates are inforecast_summary.json.Forecast Confidence and Data Quality
exit_code=0,json_valid=true.sampled_runs: 0and no monte-carlo object at all β e.g. Docs Explanatory Diagram Generator, Ambient Context, AW Failures, EU CRA Advisor sub-workflows, Enterprise canary/review-stress, SVG Visual Audit).is_reliable=true) Monte Carlo projections with β₯12 sampled runs.π Trends
This is the first day a snapshot has been recorded in repo-memory for this repository (
rolling-summary.jsoncurrently has 1 entry), so the historical trend chart is skipped β fewer than 2 data points are available. Trend comparisons will begin appearing once a second daily snapshot is collected.Full Per-Workflow Breakdown
.github/workflows/multi-device-docs-tester.lock.yml.github/workflows/cao-dashboard-review.lock.yml.github/workflows/daily-dashboard-language-renderer.lock.ymlπ‘ Observations
Data snapshot:
memory/token-audit/githubnext__central-agentic-ops__2026-08-28.jsonControl Plane
33205281790-1githubnext/central-agentic-opsAdd this agentic workflow to your repo
To install this agentic workflow, run