Execute and analyze a single CCI testcase with pass/fail reports.
npx skills add https://github.com/tw-kang/skills --skill cci-runone
Please help me install this Agent Skill. Skill: cci-runone Source: https://github.com/tw-kang/skills/tree/main/cci-runone Command: npx skills add https://github.com/tw-kang/skills --skill cci-runone
This skill executes a single CUBRID CCI testcase on a local machine, determines pass or fail status, and synthesizes actionable diagnostics to reduce manual triage time.
Request the skill to run a specific CCI test by providing the CUBRID build URL and the test path or name.
High-intent search queries and answers about installing and using this skill.
To run a single CCI testcase locally, provide a valid CUBRID build URL and the test path to the skill. It prepares the environment, installs the build, executes the test, and generates a pass or fail report with actionable diagnostics.
Diagnosing CCI test failures requires a local CTP installation, sourced CUBRID environment variables, a valid CUBRID build URL, and access to the cubrid-testcases-private repository to locate test scripts and perform structured failure analysis.
CCI failure analysis inspects compile errors, CCI runtime errors, server and broker logs, and checks for core dumps. It compares expected versus actual outputs to synthesize actionable diagnostics and reduce manual triage time.
Yes, you can execute one-off CTP CCI test runs by providing a specific test name or issue number. The skill locates the corresponding test case inside the cubrid-testcases-private repository, reads the scripts, and runs it individually with timeout handling.
Access to the cubrid-testcases-private repository is required because the skill needs to locate the CCI test cases using test names or issue numbers, and read the test scripts and test.c files before executing and analyzing the run.
The best way to analyze CUBRID CCI runtime errors is using automated structured failure analysis, which inspects server and broker logs, checks for core dumps, and compares expected versus actual outputs to pinpoint the root cause.
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