e2e-analyze
Skill551 starsChanged 6 months agoApache-2.0View on GitHub
Analyze test errors
In this repository26 other files it gives its agents.
- AGENTS.mdAGENTS.md
- api/AGENTS.mdAGENTS.md
- control-plane-operator/AGENTS.mdAGENTS.md
- .cursor/rules/100-go-mistakes.mdcCursor rule
- .cursor/rules/code-formatting.mdcCursor rule
- .cursor/rules/code-review.mdcCursor rule
- .cursor/rules/create-jira-items.mdcCursor rule
- .cursor/rules/debug-aro-hcp-e2e.mdcCursor rule
- .cursor/rules/git-commit-format.mdcCursor rule
- .cursor/rules/restructure-commits.mdcCursor rule
- create-cpo-overrideSkill
- Debug ClusterSkill
- Effective GoSkill
- feature-developmentSkill
- fix-hypershift-repo-robot-prSkill
- Git Commit FormatSkill
- konflux-buildSkill
- Konflux Archived PipelineRunsSkill
- pr-reportSkill
- restructure-commitsSkill
- test-tag-pipelineSkill
- triage-leaked-infraSkill
- update-konflux-tasksSkill
- validate-pr-override-imagesSkill
- Git Commit FormatSkill
- restructure-commitsSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 2 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 10
Use the extracted number as {BUILD_NUMBER}.
- Distinctive: line 11
Use curl to download the file build-log.txt under "$1".
- Very specific: line 12
When fetching, use: curl -fsSL --max-time 20 --retry 3 --retry-connrefused --proto '=https' --max-filesize 100M "${1}/build-log.txt".
- Very specific: line 14
Use the "gcloud storage" command to fetch given artifacts under "$3" and make sure to use {BUILD_NUMBER} in URLs.
- Distinctive: line 17
Do not delete downloaded artifacts during the cleanup phase.
≈ “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
General instructions
- Validate that "$3" is an existing directory; fail if it is not. Do NOT create the directory.
- Extract {BUILD_NUMBER} from "$1" by matching a 10–20 digit sequence; fail if none is found.
- Use the extracted number as {BUILD_NUMBER}.
- Use curl to download the file build-log.txt under "$1". Only allow HTTPS URLs (reject HTTP).
- When fetching, use:
curl -fsSL --max-time 20 --retry 3 --retry-connrefused --proto '=https' --max-filesize 100M "${1}/build-log.txt". - The build-log.txt file contains e2e failures, store the artifacts related to failure "$2" under directory specified by "$3" to determine a possible root cause for the failure.
- Use the "gcloud storage" command to fetch given artifacts under "$3" and make sure to use {BUILD_NUMBER} in URLs.
- Provide evidence for the failure.
- Try to find additional evidence. For example, in logs and events.
- Do not delete downloaded artifacts during the cleanup phase.
Output format
- The output should be formatted as:
Error: {Error message here} Summary: {Failure analysis here} Evidence: {Evidence here} Additional evidence: {Additional evidence here}
Does it work?
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- It worked
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- It didn't
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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.

