Buildkite Logs
DevOps & Securitybuildkite-logsBuildkite Logs is an Agent Skill for devops & security published in the JuliaLang/julia repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
Fetch and inspect Julia Buildkite CI logs without web sign-in. Use when debugging Julia CI failures, reviewing Buildkite jobs, or when the Buildkite MCP is unavailable.
How to use this skill
Bring this guide into your coding agent with a prompt tailored to the tool you use.
- Open your project in Codex.
- Copy and paste the prompt below.
- Review files and risks before approving any action.
Inspect the Agent Skill at https://github.com/JuliaLang/julia/blob/HEAD/doc/src/devdocs/agents/skills/buildkite-logs/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/buildkite-logs, but wait for my approval before writing files or running scripts.
Copying this prompt does not install or run the skill. Review third-party files before use.
Reviewing Buildkite CI logs
Use this when investigating Julia Buildkite CI failures, especially if the
Buildkite MCP is unavailable. The recipe requires gh, curl, python3, and
network access to GitHub and Buildkite.
Julia's CI runs on Buildkite. PR builds run in the julialang/julia-pr
pipeline, post-merge master builds in julialang/julia-ci, and scheduled runs
in julialang/julia-master-scheduled (the old julia-master pipeline no
longer exists). The public web UI requires sign-in to download raw_log, but
two frontend JSON endpoints are anonymously accessible for public pipelines.
Recipe:
-
Find the build number.
gh pr checks <PR-number>gives launcher-job URLs likehttps://buildkite.com/julialang/julia-pr/builds/<BUILD>#<uuid>; for a master commit, use the commit statuses (gh api repos/JuliaLang/julia/commits/<sha>/status). The#<uuid>fragments there are only the top-level launcher jobs (Build/Check/Test/…), not the per-platform jobs. -
List all jobs in the build, with names, states, exit statuses, and UUIDs:
curl -sS -H "Accept: application/json" \ "https://buildkite.com/julialang/<PIPELINE>/builds/<BUILD>/data/jobs" \ -o /tmp/bkjobs.json python3 -c "import json; [print(j['state'],'|',j.get('exit_status'),'|',j['name'],'|',j['id']) \ for j in json.load(open('/tmp/bkjobs.json'))['records']]"This
/data/jobsendpoint is what the build page's frontend uses; it returns every job in one page (records, plushas_next_page). Do NOT usebuilds/<BUILD>.jsonfor job discovery — anonymously it returns build metadata with an emptyjobsarray (thestatisticsfield still shows the true job count). -
Fetch a job's log JSON (replace
<PIPELINE>,<BUILD>,<JOB-UUID>):curl -sS -H "Accept: application/json" \ "https://buildkite.com/organizations/julialang/pipelines/<PIPELINE>/builds/<BUILD>/jobs/<JOB-UUID>/log" \ -o /tmp/bk.jsonThe log text lives under the JSON
outputfield, with embedded HTML (<time>timestamps, ANSI-as-<span>colour) and entity-encoded shell output. Strip with e.g.:python3 -c "import json,re,html; s=json.load(open('/tmp/bk.json'))['output']; \ s=re.sub(r'<[^>]+>','',s); print(html.unescape(s))" > /tmp/bk.txtWrite the stripped log to a file and search it (logs can be hundreds of KB); piping the whole thing into context wastes tokens.
The log endpoint also serves still-running jobs (partial output). For a test
job that hung, the in-tree watchdog (.buildkite/utilities/timeout.jl,
JL_TERM_TIMEOUT) prints per-task Julia backtraces of every worker before
killing it, and core dumps are uploaded as artifacts with an lldb bt all
summary in the log — search the log for ---- Task, Waiting for, and
core dumped.