Individual skill
evo-build-diagnosis
Analyzes a Python repository to identify the root causes of build failures, including syntax errors, import errors, test failures, and build configuration issues. Use when diagnosing why a Python project fails to build or pass tests. Scans repository files for syntax errors via ast.parse/compile, parses pytest output and CI logs, checks build configuration files (pyproject.toml, setup.py, setup.cfg), identifies missing dependencies, and produces a structured diagnosis report.
tasks-evolved/fix-build-agentops/environment/skills/evo-build-diagnosis/SKILL.md
Source commit 84ca182da055fafb6453dcec4a6defdbbfd987c1
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Local scripts
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 97
- Repository last updated
- Sep 10, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- llm-agents Repository topic
- open-world Repository topic
- self-evolving-agents Repository topic
- testing Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 2,525 bytesSKILL.mdcore · 2,525 bytesscripts/diagnosis.pyruns · 8,130 bytes
Read excerpt
# Build Diagnosis Skill
This skill analyzes Python repositories to identify root causes of build failures.
## When to Use
- A Python project fails to build or install
- pytest tests are failing with errors
- CI/CD pipelines report build failures
- You need to diagnose syntax errors, import errors, or configuration issues
## Workflow
1. **Find the repository** using `find_repo_path()` to locate the project root