Datalineage Summary
google/skills
Summarizes data lineage graphs on Google Cloud to help users debug data quality issues and understand data provenance for BigQuery and Cloud Storage.
A skill your agent uses when querying OpenShift CI prow job runs and junit test results in BigQuery (cianalysisus dataset) with deduplication, variant joins, and infrastructure failure filtering
Install Jobs And Tests
$ npx skills add openshift-eng/ai-helpers --skill jobs-and-tests -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openshift-eng/ai-helpers jobs-and-tests --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/bigquery-ci-data/skills/jobs-and-tests .claude/skills/jobs-and-tests && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "jobs-and-tests" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/bigquery-ci-data/skills/jobs-and-tests into .claude/skills/jobs-and-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jobs-and-tests", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/openshift-eng/ai-helpers/tree/main/plugins/bigquery-ci-data/skills/jobs-and-testsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add openshift-eng/ai-helpers --skill jobs-and-tests -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openshift-eng/ai-helpers jobs-and-tests --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/bigquery-ci-data/skills/jobs-and-tests .agents/skills/jobs-and-tests && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jobs-and-tests" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/bigquery-ci-data/skills/jobs-and-tests into .agents/skills/jobs-and-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jobs-and-tests", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add openshift-eng/ai-helpers --skill jobs-and-tests -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openshift-eng/ai-helpers jobs-and-tests --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/bigquery-ci-data/skills/jobs-and-tests .cursor/skills/jobs-and-tests && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "jobs-and-tests" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/bigquery-ci-data/skills/jobs-and-tests into .cursor/skills/jobs-and-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jobs-and-tests", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/openshift-eng/ai-helpers.git --path plugins/bigquery-ci-data/skills/jobs-and-tests--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add openshift-eng/ai-helpers --skill jobs-and-tests -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openshift-eng/ai-helpers jobs-and-tests --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/bigquery-ci-data/skills/jobs-and-tests .gemini/skills/jobs-and-tests && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "jobs-and-tests" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/bigquery-ci-data/skills/jobs-and-tests into .gemini/skills/jobs-and-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jobs-and-tests", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install openshift-eng/ai-helpers jobs-and-testsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add openshift-eng/ai-helpers --skill jobs-and-tests -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/bigquery-ci-data/skills/jobs-and-tests .github/skills/jobs-and-tests && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "jobs-and-tests" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/bigquery-ci-data/skills/jobs-and-tests into .github/skills/jobs-and-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jobs-and-tests", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add openshift-eng/ai-helpers --skill jobs-and-tests -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install openshift-eng/ai-helpers jobs-and-tests --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/bigquery-ci-data/skills/jobs-and-tests .opencode/skills/jobs-and-tests && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "jobs-and-tests" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/bigquery-ci-data/skills/jobs-and-tests into .opencode/skills/jobs-and-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jobs-and-tests", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
jobs-and-tests- GitHub stars
- 120
- Token cost
- ~2.2k tokens
- SKILL.md length
- 726 words
- Files
- 1
- Skills in repo
- 118
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when querying OpenShift CI prow job runs and junit test results in BigQuery (cianalysisus dataset) with deduplication, variant joins, and infrastructure failure filtering
- Querying OpenShift CI prow job runs and junit test results in BigQuery (cianalysisus dataset) with deduplication
- SKILL.md covers When to Use This Skill, Tables, Variant Reference and Query Patterns, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Infrastructure failure filtering
What it does
Jobs And Tests is an agent skill from openshift-eng/ai-helpers. Use when querying OpenShift CI prow job runs and junit test results in BigQuery (cianalysisus dataset) with deduplication, variant joins, and infrastructure failure filtering
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Databases, covering Unit testing, Data warehousing and Data cleaning. It works with JUnit and Google BigQuery. The repository describes itself as: Developer productivity tools for Claude Code & other AI assistants. The licence is Apache-2.0.
When your agent uses it
- Querying OpenShift CI prow job runs and junit test results in BigQuery (cianalysisus dataset) with deduplication
- Infrastructure failure filtering
Example prompts
- “/jobs-and-tests”
What it can do on your machine
Read from SKILL.md and the folder at commit a627176. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are sql).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Jobs And Tests loads about 2.2k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 726 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from openshift-eng/ai-helpers at commit a627176, republished under its Apache-2.0 licence (© openshift-eng). 726 words, ~2,183 tokens.
Download SKILL.mdSave it as
.claude/skills/jobs-and-tests/SKILL.md (or your agent's skills folder).- name
- jobs-and-tests
- description
- Use when querying OpenShift CI prow job runs and junit test results in BigQuery (ci_analysis_us dataset) with deduplication, variant joins, and infrastructure failure filtering
Jobs and Tests
Query and analyze prow job runs and junit test results stored in openshift-gce-devel.ci_analysis_us. This is the primary dataset for investigating test failures, flakes, regressions, and job pass rates.
Follow the foundations skill for cost safety, caching, and execution workflow.
When to Use This Skill
- Investigating test failures, flakes, or regressions across CI jobs
- Querying prow job pass/fail rates over time
- Analyzing test results by variant (platform, architecture, network, upgrade, etc.)
- Exploring CI data patterns (e.g. which jobs run a test, how often a test fails)
Tables
ci_analysis_us.junit
Junit test results. Massive table. Partitioned by DAY on modified_time. Clustered on release.
| Column | Type | Notes |
|---|---|---|
| prowjob_build_id | STRING | Join key to jobs table |
| file_path | STRING | Artifact path of the junit XML |
| test_name | STRING | Full test name |
| testsuite | STRING | Test suite name |
| success_val | INTEGER | 1 = pass, 0 = fail |
| success | BOOLEAN | Pass/fail |
| skipped | BOOLEAN | Whether test was skipped |
| flake_count | INTEGER | >0 means this row is part of a flake |
| modified_time | DATETIME | Partition column — always filter on this |
| release | STRING | OCP release (e.g. "4.22", "5.0"). Clustering column — always filter for ~60-70% cost reduction |
| branch | STRING | LEGACY — do not use. Use release instead |
| prowjob_name | STRING | Name of the prow job run |
| duration_ms | INTEGER | Test execution time |
| test_id | STRING | Stable test identifier |
| failure_message | STRING | Failure message from junit XML |
| failure_content | STRING | Failure body from junit XML |
| start_time | DATETIME | Test start time |
| end_time | DATETIME | Test end time |
| platform | STRING | LEGACY — do not use for filtering |
| arch | STRING | LEGACY — do not use for filtering |
| network | STRING | LEGACY — do not use for filtering |
| upgrade | STRING | LEGACY — do not use for filtering |
IMPORTANT: The platform, arch, network, upgrade columns on junit are legacy and unmaintained. Join to jobs then job_variants for accurate variant data.
ci_analysis_us.jobs
Prow job runs (invocations). Each row is a single execution. Partitioned by DAY on prowjob_start.
Terminology: "job" = a distinct prowjob_job_name. The table contains individual runs, each with a unique prowjob_build_id. Use prowjob_job_name to group/identify jobs, prowjob_build_id for specific runs.
| Column | Type | Notes |
|---|---|---|
| prowjob_build_id | STRING | Primary key, join key to junit |
| prowjob_job_name | STRING | Canonical job name (join key to job_variants) |
| prowjob_url | STRING | Link to prow job |
| prowjob_state | STRING | "success", "failure", "error", "aborted" |
| prowjob_start | DATETIME | Partition column |
| prowjob_completion | DATETIME | When job finished |
| prowjob_type | STRING | "periodic", "presubmit", "postsubmit" |
| org | STRING | GitHub org |
| repo | STRING | GitHub repo |
| pr_number | STRING | PR number (presubmits) |
| base_ref | STRING | Base branch |
| is_release_verify | BOOLEAN | Whether this is a release verification job |
ci_analysis_us.job_variants
Maps job names to variant classifications. Not partitioned (small table).
| Column | Type | Notes |
|---|---|---|
| job_name | STRING | Join to jobs.prowjob_job_name |
| variant_name | STRING | e.g. "Platform", "Architecture" |
| variant_value | STRING | e.g. "aws", "amd64" |
Show full SKILL.md (300 more words)Show less
ci_analysis_us.job_labels
Labels/annotations on job runs. Partitioned by DAY on prowjob_start.
| Column | Type | Notes |
|---|---|---|
| prowjob_build_id | STRING | Join key to jobs/junit |
| prowjob_start | DATETIME | Partition column |
| label | STRING | e.g. "InfraFailure" |
| symptom_id | STRING | Triage symptom ID |
Variant Reference
Each job maps to multiple variant dimensions via job_variants. Each dimension is a separate LEFT JOIN.
Release & Upgrade
| Variant | Key Values |
|---|---|
| Release | 4.18, 4.19, 4.20, 4.21, 4.22, 4.23, 5.0, 5.1 |
| Upgrade | none, micro, minor, major, multi, micro-downgrade |
| FromRelease | 4.17, 4.18, etc. |
Platform & Infrastructure
| Variant | Key Values |
|---|---|
| Platform | aws, azure, gcp, vsphere, metal, openstack, nutanix, alibaba, kubevirt, libvirt, none, ovirt, rosa, aro, external-aws, external-oci, external-vsphere, osd-gcp |
| Architecture | amd64, arm64, multi, ppc64le, s390x |
| Topology | ha, single, compact, external, microshift, two-node-arbiter, two-node-fencing |
| Installer | ipi, upi, agent, assisted, hypershift, aro |
Network
| Variant | Key Values |
|---|---|
| Network | ovn, sdn, cilium |
| NetworkStack | ipv4, ipv6, dual |
| NetworkAccess | default, disconnected, proxy, nat-instance |
Job Classification
| Variant | Key Values |
|---|---|
| JobTier | blocking, informing, candidate, standard, rare, excluded, hidden |
| Owner | eng, qe, aro, cnf, perfscale, etc. |
| Suite | parallel, serial, etcd-scaling, unknown |
Configuration
| Variant | Key Values |
|---|---|
| Procedure | none, serial, cert-rotation-shutdown, cpu-partitioning, etcd-scaling, ipsec, on-cluster-layering, etc. |
| SecurityMode | default, fips |
| FeatureSet | default, techpreview |
| CGroupMode | v1, v2 |
| ContainerRuntime | runc, crun |
| OS | rhcos9, rhcos10, rhcos9-10 |
| Aggregation | none, aggregated |
Query Patterns
Deduplicating Junit Results (CRITICAL)
A "flake" appears as two rows: one fail, one pass. Raw queries double-count unless deduplicated. Always use this pattern for aggregation:
WITH deduped AS (
SELECT
*,
ROW_NUMBER() OVER(
PARTITION BY prowjob_build_id, file_path, test_name, testsuite
ORDER BY
CASE
WHEN flake_count > 0 THEN 0
WHEN success_val > 0 THEN 1
ELSE 2
END
) AS row_num,
CASE WHEN flake_count > 0 THEN 0 ELSE success_val END AS adjusted_success_val,
CASE WHEN flake_count > 0 THEN 1 ELSE 0 END AS adjusted_flake_count
FROM `openshift-gce-devel.ci_analysis_us.junit`
WHERE modified_time >= DATETIME_SUB(CURRENT_DATETIME(), INTERVAL 7 DAY)
AND release = '4.22'
AND skipped = false
AND test_name LIKE '%your test pattern%'
)
SELECT * FROM deduped WHERE row_num = 1Priority: flakes (0) > passes (1) > failures (2). Skip deduplication only when debugging a specific flake's failure message.
Variant Joins
Each dimension is a separate LEFT JOIN with a unique alias:
LEFT JOIN `openshift-gce-devel.ci_analysis_us.job_variants` jv_release
ON jobs.prowjob_job_name = jv_release.job_name AND jv_release.variant_name = 'Release'
LEFT JOIN `openshift-gce-devel.ci_analysis_us.job_variants` jv_platform
ON jobs.prowjob_job_name = jv_platform.job_name AND jv_platform.variant_name = 'Platform'
WHERE jv_release.variant_value = '4.19'
AND jv_platform.variant_value = 'aws'Tip: Exclude aggregated results with Aggregation != 'aggregated' or prowjob_name NOT LIKE '%aggregated%'.
Filtering Out Infrastructure Failures
LEFT JOIN `openshift-gce-devel.ci_analysis_us.job_labels` jl
ON junit.prowjob_build_id = jl.prowjob_build_id
AND jl.prowjob_start >= DATETIME_SUB(CURRENT_DATETIME(), INTERVAL 7 DAY)
AND jl.label = 'InfraFailure'
WHERE jl.label IS NULLJob Pass Rate Analysis
SELECT
jobs.prowjob_job_name,
COUNT(DISTINCT jobs.prowjob_build_id) AS total_runs,
COUNT(DISTINCT IF(jobs.prowjob_state = 'success', jobs.prowjob_build_id, NULL)) AS successful_runs
FROM `openshift-gce-devel.ci_analysis_us.jobs` jobs
WHERE jobs.prowjob_start >= DATETIME_SUB(CURRENT_DATETIME(), INTERVAL 7 DAY)
AND jobs.prowjob_type = 'periodic'
GROUP BY jobs.prowjob_job_name
ORDER BY total_runs DESCQE Dataset: ci_analysis_qe
Same table structure as ci_analysis_us. Smaller. QE jobs are slowly migrating to the engineering system. Default to ci_analysis_us unless the user explicitly asks about QE data.
© openshift-eng, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in plugins/bigquery-ci-data/skills/jobs-and-tests of openshift-eng/ai-helpers.
Open the folder on GitHubat commit a627176
Compare with similar skills
Jobs And Tests next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Jobs And Tests this skillopenshift-eng/ai-helpers | 120 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Datalineage Summarygoogle/skills | 21k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Ga4 Auditcognyai/claude-code-marketing-skills | 104 | — | ~1.6k | Automated safety check: Pass | None | |
| Io ConnectorsKilo-Org/kilo-marketplace | 190 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Clickhouse Logs Queriessupabase/supabase | 111k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Neocarta Add Source Connectorneo4j-labs/neocarta | 147 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 |
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Questions about Jobs And Tests
What does Jobs And Tests do?
A skill your agent uses when querying OpenShift CI prow job runs and junit test results in BigQuery (cianalysisus dataset) with deduplication, variant joins, and infrastructure failure filtering. Jobs And Tests is an agent skill from openshift-eng/ai-helpers.
When should I use Jobs And Tests?
Jobs And Tests fits situations like: querying OpenShift CI prow job runs and junit test results in BigQuery (cianalysisus dataset) with deduplication; infrastructure failure filtering.
How do I install Jobs And Tests in Claude Code?
Run `npx skills add openshift-eng/ai-helpers --skill jobs-and-tests -a claude-code`. Or copy the skill folder (plugins/bigquery-ci-data/skills/jobs-and-tests in openshift-eng/ai-helpers) into .claude/skills/jobs-and-tests in your project. Claude Code loads it when a task matches its description.
How do I install Jobs And Tests in Codex?
Run `npx skills add openshift-eng/ai-helpers --skill jobs-and-tests -a codex`. Or copy the skill folder (plugins/bigquery-ci-data/skills/jobs-and-tests in openshift-eng/ai-helpers) into .agents/skills/jobs-and-tests in your project. Codex loads it when a task matches its description.
Can I use Jobs And Tests in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openshift-eng/ai-helpers --skill jobs-and-tests -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jobs-and-tests, .gemini/skills/jobs-and-tests, .github/skills/jobs-and-tests and .opencode/skills/jobs-and-tests in your project.
What does Jobs And Tests need to run?
SKILL.md names no scripts, command-line tools or credentials: Jobs And Tests is instructions for the agent only.
Does Jobs And Tests access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Jobs And Tests safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Jobs And Tests use?
Jobs And Tests is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Jobs And Tests use?
About 2.2k tokens (SKILL.md is roughly 8.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Jobs And Tests?
Skills that share tags, products or a category with Jobs And Tests: Datalineage Summary (google/skills, 21k stars), Ga4 Audit (cognyai/claude-code-marketing-skills, 104 stars), Io Connectors (Kilo-Org/kilo-marketplace, 190 stars) and Clickhouse Logs Queries (supabase/supabase, 111k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jobs And Tests?
openshift-eng (a GitHub organization) maintains it in openshift-eng/ai-helpers, which has 120 GitHub stars. The repository holds 118 skills in this directory. The repository was last updated on October 6, 2026.
Source: openshift-eng/ai-helpers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.