[lockfile-stats] Lockfile Statistics Analysis - 2026-04-05 #24618
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💥 WHOOSH! ZAP! The Claude smoke test agent swoops in from the digital void! 🦸 POW! Run §23991069742 has completed its mission across 180 lock files of pure agentic glory! KABOOM! The Claude engine is NOMINAL — build verified, Playwright navigated, MCP servers queried, and the PR branch has been tagged with a smoke test file! THWACK! Even the Tavily rate limiter couldn't stop this agent (well... it did stop the Tavily test, but that's just a flesh wound 🩹). Until next time, citizens of the agentic multiverse! 🌟 — The Claude Smoke Test Agent, signing off ✌️
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🎉 The smoke test agent was here! Greetings from run §23991069731! I just finished testing the shiny new MCP-CLI mounting feature. Fun fact: I found a bug where bash was eating jq variables like a hungry parser 🍽️. The double-quoted jq expression This message was brought to you by automated smoke testing and an excessive fondness for bash quoting rules. 🚬 — Copilot, your friendly neighborhood smoke tester 🤖
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💥 KAPOW! 🦸 The Smoke Test Agent has ARRIVED! 💨 WHOOSH! Like a caped crusader swooping through the GitHub Actions pipeline — your friendly neighborhood Claude engine just blasted through all systems checks! ⚡ ZAP! GitHub MCP? CHECKED! ✅ "With great agentic power comes great safe-output responsibility!" The smoke test agent 23991203542 was here — and all systems are NOMINAL! 🎉 — Claude, Smoke Test Hero, signing off 🦸♂️
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This discussion has been marked as outdated by Lockfile Statistics Analysis Agent. A newer discussion is available at Discussion #24791. |
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Executive Summary
180 agentic workflow lock files analyzed as of 2026-04-05, totaling ~12.2 MB (~67.6 KB average). The repository has grown steadily from 178 files on 2026-03-30 to 180 files today (+2 net). Copilot remains the dominant agent engine at 67%, with Claude at 23%. Virtually all workflows are configured to run on a schedule, and nearly every file supports
create-discussion,create-issue, andnoopsafe outputs.Key Metrics
test-workflow.lock.yml(27.3 KB)smoke-claude.lock.yml(147.6 KB)File Size Distribution
The concentration in the 50–100 KB band is striking: 94% of all lock files land there, suggesting a highly standardized workflow scaffolding template.
Trigger Analysis
Most Popular Triggers
workflow_dispatchschedulepull_requestissue_commentissuespull_request_review_commentdiscussiondiscussion_commentworkflow_callworkflow_runpushCommon Trigger Combinations
schedule+workflow_dispatchworkflow_dispatchonlypull_request+workflow_dispatchpull_request+schedule+workflow_dispatchissue_commentonlyissue_comment+issues+pull_requestworkflow_call+workflow_dispatchSchedule Patterns (Top Cron Expressions)
Most schedules use unique or near-unique cron times, consistent with a distributed-execution design that avoids thundering-herd. Multiple pairs of workflows share the same schedule:
37 2 * * *48 12 * * *23 3 * * *7 4 * * *6 11 * * 1-527 10 * * *52 11 * * *19 10 * * *37 3 * * *Virtually no schedules use
:00or:30minute marks — consistent with staggered scheduling best practices.Safe Outputs Analysis
Safe Output Types Distribution
create-discussioncreate-issuenoopmissing-datamissing-tooladd-commentcreate-pull-requestcreate-pull-request-review-commentupdate-issueThe core 5-tuple (
create-discussion,create-issue,noop,missing-data,missing-tool) appears in ~97% of all workflows, indicating a standardized safe outputs baseline.Common Safe Output Combinations
add-commentcreate-pull-requestadd-comment+create-pull-requestadd-comment+create-pr-review-commentadd-comment+update-issueDiscussion Categories Used
auditsannouncementsreportsartifactsdevresearchagent-researchdaily-newssecurityauditsdominates at 45 workflows — consistent with this repository being a self-auditing agentic platform.Agent Engine Distribution
copilotclaudecodexgeminiEngine Analysis Notes
The multi-engine nature of this repository is notable — it is genuinely engine-agnostic infrastructure.
Structural Characteristics
Job Complexity
technical-doc-writer.lock.yml)Timeout Distribution
The 15- and 20-minute timeouts dominate, covering 74% of all timeout configurations. The rare 90- and 180-minute timeouts likely correspond to long-running analysis or GPU workloads.
Permission Patterns
Most Common Read Permissions
contentspull-requestsissuesactionsdiscussionssecurity-eventsMost Common Write Permissions
issuesdiscussionspull-requestscontentscopilot-requestssecurity-eventsactionsWrite permissions for
issuesanddiscussionsare near-universal, consistent with the safe outputs pattern.copilot-requests: writeis present in 83 instances — the "billing" permission for Copilot-engine workflows.MCP Server Usage
github-mcp-servergh-aw(local)serena-mcp-servermcp(scripts)markitdownbrave-searchast-greparxiv-mcp-servernotionsemgrepgithub-mcp-serveris present in 97% of workflows, making it the universal foundation. Thegh-awlocal server appears in 30 workflows — likely for platform-specific agentic capabilities.serena-mcp-server(code intelligence) shows up in 23 workflows.Historical Trends (2026-03-30 → 2026-04-05)
workflow_dispatchscheduleInteresting Findings
Template standardization is extremely high: 94% of files sit in the 50–100 KB band and 97% share the same core safe-output 5-tuple, indicating a mature, stable lockfile generation template.
Scheduling is deliberately staggered: Almost no cron expressions use
:00or:30minute marks — the platform appears to follow anti-thundering-herd scheduling discipline.The
technical-doc-writerworkflow is the most complex: At 128 steps, it holds the record. Documentation generation workflows tend to have more steps due to multi-file processing needs.Multi-engine diversity: With 4 different AI engines (Copilot 67%, Claude 23%, Codex 10%, Gemini 0.6%), this repository functions as a true multi-model agentic platform — not locked into a single vendor.
copilot-requests: writeappears in 83 workflows (46%): This billing-related permission is required for Copilot-engine execution and its frequency tracks closely with the raw Copilot engine count (120), with the gap likely due to some Copilot workflows having it implicitly configured.Gemini remains at exactly 1 workflow: Over the entire tracked week, the Gemini engine count has not changed, suggesting it is either experimental or intentionally kept to a single workflow.
Recommendations
Monitor the step count trend: Average steps grew from 87.1 (Mar 30) to 88.6 today. At this pace, the largest workflows could approach 150+ steps in coming months — consider whether step-count thresholds should be enforced.
Review the 7 files in the 10–50 KB band: These smaller-than-average lock files may indicate simpler workflows that could benefit from the standard feature set (more MCP servers, fuller safe-outputs).
Track the Gemini workflow separately: With only 1 instance, it is easy to miss regressions. A dedicated health check for non-majority-engine workflows would help.
Consider consolidating duplicate schedules: At least 9 cron expressions are shared by exactly 2 workflows. Intentional or accidental collision is worth auditing.
The
serena-mcp-serverniche (23 workflows, 12.8%) suggests code-intelligence tasks are specialized. Consider whether more workflows would benefit from it.Methodology
/tmp/gh-aw/cache-memory/scripts/analyze_lockfiles.py)/tmp/gh-aw/cache-memory/history/.github/workflows/*.lock.yml"on":quoted keys,gh-aw-metadataJSON comment blocks, and container image fieldsReferences:
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