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Top combinations:schedule+workflow_dispatch 182 (68%), workflow_dispatch alone 47 (17%), pull_request+workflow_dispatch 28 (10%). 85+ distinct cron expressions in use, spread across the day with no dominant single time slot.
Safe Outputs Analysis
Safe output
Count
Safe output
Count
create-issue
125
update-issue
10
create-discussion
91
max-bot-mentions
8
add-comment
67
remove-labels
7
create-pull-request
55
update-pull-request
5
push-repo-memory
37
close-issue
5
upload-asset
25
assign-to-agent
5
add-labels
25
comment-memory
5
mentions
22
link-sub-issue
4
create-pull-request-review-comment
15
close-pull-request
4
submit-pull-request-review
15
dispatch-workflow
4
(Framework-injected safe-output scaffolding — missing-data, missing-tool, noop, report-incomplete, create-report-incomplete-issue — appears on 263/269 lockfiles and is omitted above as boilerplate.)
Discussion categories: audits 78, announcements 5, artifacts 2, dev 2, research 2, general 1, daily-news 1.
Timeouts: 31–60 min: 269 lockfiles (100% have at least one such job), 6–15 min: 28, ≤5 min: 2 (jobs can straddle multiple buckets within one lockfile).
workflow_dispatch is nearly universal — 262/269 (97%) lockfiles support manual triggering, underscoring an intentional design norm across the fleet.
schedule+workflow_dispatch dominates (182/269, 68%) — most workflows are autonomous/scheduled rather than event-driven.
actions:read and contents:read are on every single lockfile (100%), and issues:write on 267/269 (99%) — issue-centric side effects are the fleet's default posture, even though only 125 lockfiles actually call create-issue, suggesting the permission is broader than the realized behavior in ~53% of cases.
github MCP dominates integrations (104 workflows, 39%) vs. the next closest, serena (24, 9%) — the fleet leans heavily on native GitHub API access over third-party MCP servers.
"audits" is the dominant discussion category (78/91, 86%), confirming discussion-based reporting is mostly used for audit-style workflows like this one.
Historical Trends (vs. 2026-08-01)
Metric
2026-08-01
2026-08-02
Δ
Lockfiles
268
269
+1
Total bytes
37,289,141
37,395,841
+106,700 (+0.29%)
workflow_dispatch
261
262
+1
create-discussion
90
91
+1
create-issue
124
125
+1
claude engine
64
65
+1
Jobs / Steps / Scripts total
1,996 / 35,664 / 15,699
2,000 / 35,775 / 15,748
+4 / +111 / +49
github MCP usage
103
104
+1
notion / markitdown / semgrep MCP
2 / 3 / 1
0 / 0 / 0
dropped
Pattern consistent with one new Claude-engine, GitHub-MCP-based workflow added, alongside removal or reconfiguration of a workflow that had used the notion, markitdown, and semgrep MCP servers (their counts vanished together).
Recommendations
Narrow issues:write scope: it's granted on 267/269 lockfiles but only 125 emit create-issue — audit whether the remaining ~142 need write access or can drop to read-only.
Normalize cron scheduling: 85+ distinct cron expressions with heavy clustering at specific minutes could be smoothed to reduce GitHub Actions scheduler contention at peak minutes.
Document standard MCP patterns: with github MCP used in 39% of workflows and a churn of niche one-off servers (notion/markitdown/semgrep) appearing and disappearing, a shared reference config would reduce duplication for new workflow authors.
Methodology: single-script compact JSON analysis (lockfile_stats_v1.py, cached in /tmp/gh-aw/cache-memory/scripts/).
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Executive Summary
File Size Distribution
Largest:
smoke-copilot-aoai-entra.lock.yml(216,809 B). Smallest:notion-issue-summary.lock.yml(83,438 B).Trigger Analysis
Top combinations:
schedule+workflow_dispatch182 (68%),workflow_dispatchalone 47 (17%),pull_request+workflow_dispatch28 (10%). 85+ distinct cron expressions in use, spread across the day with no dominant single time slot.Safe Outputs Analysis
(Framework-injected safe-output scaffolding —
missing-data,missing-tool,noop,report-incomplete,create-report-incomplete-issue— appears on 263/269 lockfiles and is omitted above as boilerplate.)Discussion categories: audits 78, announcements 5, artifacts 2, dev 2, research 2, general 1, daily-news 1.
Structural Characteristics
release.lock.ymlsmoke-copilot.lock.ymlPermission Patterns
Read:
actions269 (100%),contents269 (100%),pull-requests230,issues225,discussions50,security-events14.Write:
issues267 (99%),contents197,pull-requests126,actions98,discussions96,copilot-requests74,checks13.Timeouts: 31–60 min: 269 lockfiles (100% have at least one such job), 6–15 min: 28, ≤5 min: 2 (jobs can straddle multiple buckets within one lockfile).
Tool & MCP Patterns
Engines: other 118, copilot 68, claude 65, codex 15, antigravity 1, gemini 1, opencode 1.
MCP servers: github 104, serena 24, tavily 5, sentry 5, grafana 3, ast-grep 2, arxiv 2, deepwiki 2, datadog 2, microsoftdocs 2, agentdb 1, context7 1, memory 1.
Interesting Findings
issues:writeon 267/269 (99%) — issue-centric side effects are the fleet's default posture, even though only 125 lockfiles actually callcreate-issue, suggesting the permission is broader than the realized behavior in ~53% of cases.serena(24, 9%) — the fleet leans heavily on native GitHub API access over third-party MCP servers.Historical Trends (vs. 2026-08-01)
Pattern consistent with one new Claude-engine, GitHub-MCP-based workflow added, alongside removal or reconfiguration of a workflow that had used the
notion,markitdown, andsemgrepMCP servers (their counts vanished together).Recommendations
issues:writescope: it's granted on 267/269 lockfiles but only 125 emitcreate-issue— audit whether the remaining ~142 need write access or can drop to read-only.githubMCP used in 39% of workflows and a churn of niche one-off servers (notion/markitdown/semgrep) appearing and disappearing, a shared reference config would reduce duplication for new workflow authors.Methodology: single-script compact JSON analysis (
lockfile_stats_v1.py, cached in/tmp/gh-aw/cache-memory/scripts/).All reactions