name: github-actions-queue-latency-audit description: Audit GitHub Actions queue wait hotspots from run/job JSON so CI bottlenecks are visible before they stall merges. version: 1.0.0 metadata: {"openclaw":{"requires":{"bins":["bash","python3"]}}}
Use this skill to quantify where workflows are waiting in queue before jobs start.
gh run view --json ...)7w4.net收录了海量优质技能插件。
startedAt - createdAt) and runtime duration (completedAt - startedAt)Optional:
- RUN_GLOB (default: artifacts/github-actions/*.json)
- TOP_N (default: 20)
- OUTPUT_FORMAT (text or json, default: text)
- QUEUE_WARN_SECONDS (default: 120)
- QUEUE_CRITICAL_SECONDS (default: 300)
- FAIL_ON_CRITICAL (0 or 1, default: 0) — exit non-zero when any job instance hits/exceeds critical queue wait
- WORKFLOW_MATCH (regex, optional)
- WORKFLOW_EXCLUDE (regex, optional)
- JOB_MATCH (regex, optional)
- JOB_EXCLUDE (regex, optional)
- REPO_MATCH (regex, optional)
- REPO_EXCLUDE (regex, optional)
gh run view <run-id> --json databaseId,workflowName,headBranch,headSha,url,repository,jobs \
> artifacts/github-actions/run-<run-id>.json
Text report:
RUN_GLOB='artifacts/github-actions/*.json' \
TOP_N=15 \
QUEUE_WARN_SECONDS=180 \
QUEUE_CRITICAL_SECONDS=420 \
bash skills/github-actions-queue-latency-audit/scripts/queue-latency-audit.sh
JSON output for dashboards:
RUN_GLOB='artifacts/github-actions/*.json' \
OUTPUT_FORMAT=json \
FAIL_ON_CRITICAL=1 \
bash skills/github-actions-queue-latency-audit/scripts/queue-latency-audit.sh
Filter to one repo/workflow family:
RUN_GLOB='artifacts/github-actions/*.json' \
REPO_MATCH='^flowcreatebot/' \
WORKFLOW_MATCH='(CI|Build|Test)' \
bash skills/github-actions-queue-latency-audit/scripts/queue-latency-audit.sh
Run with bundled fixtures:
RUN_GLOB='skills/github-actions-queue-latency-audit/fixtures/*.json' \
bash skills/github-actions-queue-latency-audit/scripts/queue-latency-audit.sh
0 in reporting mode (default)1 if FAIL_ON_CRITICAL=1 and at least one job instance has queue wait >= QUEUE_CRITICAL_SECONDStext mode: prints summary + top queue hotspotsjson mode: prints summary + grouped hotspot records + raw offending instances这个Skill质量不错,专注于解决GitHub Actions队列等待这个常见痛点问题。它能够从运行日志中自动识别排队时间最长的job,并以清晰的报告形式呈现结果。功能实用、文档详细、使用门槛低,基本参数都有合理的默认值。不过测试数据较少,而且需要同时安装bash和python3才能运行,部分环境中可能不太方便。总体而言是一个质量良好、值得一试的CI优化工具。