ci-timing
Skill120 starsChanged 15 days agoMITView on GitHub
Measure how long GitHub Actions jobs and steps took across past runs, and find the pull request that made CI slower. Use for any question about CI duration, a slow job, or when CI got slow.
In this repository37 other files it gives its agents.
- AGENTS.mdAGENTS.md
- benchmark/AGENTS.mdAGENTS.md
- docs/AGENTS.mdAGENTS.md
- package-gale/AGENTS.mdAGENTS.md
- package-grog/AGENTS.mdAGENTS.md
- package-jade/AGENTS.mdAGENTS.md
- package-loam/AGENTS.mdAGENTS.md
- package-re/AGENTS.mdAGENTS.md
- package-wadopoet/AGENTS.mdAGENTS.md
- wado-cli/AGENTS.mdAGENTS.md
- wado-compiler/AGENTS.mdAGENTS.md
- wado-from-idl/AGENTS.mdAGENTS.md
- wado-host/AGENTS.mdAGENTS.md
- wado-lsp/AGENTS.mdAGENTS.md
- wado-manifest/AGENTS.mdAGENTS.md
- wado-run-pjrt/AGENTS.mdAGENTS.md
- wado-run-webgpu/AGENTS.mdAGENTS.md
- wado-vscode/AGENTS.mdAGENTS.md
- benchmarkSkill
- code-review-responseSkill
- coverage-investigationSkill
- crSkill
- debuggerSkill
- distillSkill
- git-upstream-syncSkill
- jcoSkill
- markdownSkill
- on-task-doneSkill
- optimizer-debugSkill
- profiling-wado-compilerSkill
- pull-requestSkill
- rust-renameSkill
- rustSkill
- vendor-submodulesSkill
- wado-cliSkill
- wado-performanceSkill
- wasm-optSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 9
Run it with mise's Node, and redirect its output to a file in scratchpad/: a sweep over a month makes hundreds of API calls.
- Very specific: line 31
Only runs on main from push events give a clean timeline: each one is a single merge.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
CI Timing
ci-times.mjs reads run, job and step timings from the GitHub API with gh.
Run it with mise's Node, and redirect its output to a file in scratchpad/:
a sweep over a month makes hundreds of API calls.
Find When a Job Got Slower
Sweep the runs on main, one row per run, oldest first:
mise exec -- node .claude/skills/ci-timing/ci-times.mjs \
--since 2026-09-01 --job 'Test \(O|E2E\+stdlib' --step stdlib \
> scratchpad/ci-times.tsvJobs are named by what they hold, so a rebalance renames them. A sweep across
one names both: the level jobs were Test (E2E+stdlib O2) before 2026-10-30
and Test (O2) after.
Each matched job prints as name=STEP/JOB in seconds. - means the step did
not run or there was no --step. The row ends with the run's title, which
names the merged pull request. Look for the row where a job's total steps up
and stays up.
Only runs on main from push events give a clean timeline: each one is a
single merge. The defaults are --workflow ci.yml --branch main --event push.
Find Which Step Grew
The job total can grow while the step you guessed stays flat. A step that a
pull request added is invisible to --step. Print every step of the runs on
either side of the jump and compare them:
mise exec -- node .claude/skills/ci-timing/ci-times.mjs --sha <before> --job 'Test \(O3\)|stdlib O3'
mise exec -- node .claude/skills/ci-timing/ci-times.mjs --sha <after> --job 'Test \(O3\)|stdlib O3'--run <run id> does the same for a run that is not on main, such as a pull
request's run.
Read the Numbers
- Hosted runners vary from run to run. Several runs on each side of a jump show a real change. A single run does not.
- The slowest job sets how long CI takes. A step that grew in a job that finishes early does not slow CI down.
- A test step grows as tests are added. Compare its growth with the growth in
the count of what it runs (
wado-compiler/tests/fixtures/*.wado,testblocks underwado-compiler/lib/) before calling it a regression.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

