langchain-ci-integration
Configure CI/CD for LangChain with GitHub Actions, mocked unit tests, gated integration tests, and RAG pipeline validation. Trigger: "langchain CI", "langchain GitHub Actions", "langchain automated tests", "CI langchain", "langchain pipeline testing".
89
88%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong skill description that clearly defines its scope at the intersection of LangChain and CI/CD with GitHub Actions. It lists specific concrete capabilities and provides explicit trigger terms covering natural user phrasing variations. The narrow domain focus makes it highly distinctive and unlikely to conflict with other skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: configure CI/CD, GitHub Actions, mocked unit tests, gated integration tests, and RAG pipeline validation. These are all concrete, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both 'what' (configure CI/CD for LangChain with GitHub Actions, mocked unit tests, gated integration tests, RAG pipeline validation) and 'when' (explicit trigger terms listed). The 'Trigger:' clause serves as an explicit 'Use when' equivalent. | 3 / 3 |
Trigger Term Quality | Includes explicit trigger terms that users would naturally say: 'langchain CI', 'langchain GitHub Actions', 'langchain automated tests', 'CI langchain', 'langchain pipeline testing'. These cover natural variations of how users would phrase requests. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive due to the specific combination of LangChain + CI/CD + GitHub Actions + RAG pipeline validation. This is a clear niche that is unlikely to conflict with generic CI/CD skills or generic LangChain skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, highly actionable skill with complete, executable code examples covering the full CI/CD pipeline for LangChain. The workflow is clearly sequenced with appropriate gating and cost controls. The main weakness is length — the detailed test examples (especially the full RAG pipeline tests) make this more of a comprehensive reference than a concise skill overview, and could benefit from being split into referenced files.
Suggestions
Move the full RAG integration test code and tool validation tests into separate referenced files (e.g., EXAMPLES.md) and keep only a condensed example in the main skill.
Trim the second RAG test case ('handles questions outside context') to a brief mention or move it to the examples file to reduce token usage.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient with executable code examples, but is quite long. The RAG integration test section is verbose with two full test cases that could be condensed. Some inline comments are unnecessary (e.g., '// Test that RAG doesn't hallucinate'). The tool validation section adds moderate value but extends length. | 2 / 3 |
Actionability | Fully executable code throughout: complete GitHub Actions YAML, runnable Vitest test files with proper imports, real LangChain API usage patterns. The code is copy-paste ready with correct module paths and realistic test patterns. | 3 / 3 |
Workflow Clarity | Clear multi-step CI pipeline: unit tests run first, integration tests are gated behind unit test success and non-draft PR status. Cost control gating via labels is explicitly shown. The error handling table provides a feedback loop for common failure modes. The workflow sequence (unit → integration, with typecheck parallel) is well-defined. | 3 / 3 |
Progressive Disclosure | Content is well-sectioned with clear headers, but the skill is monolithic — the full RAG integration test and tool validation tests could be split into referenced files. The 'Next Steps' reference to 'langchain-deploy-integration' is good, but the main body is quite long for a SKILL.md overview. | 2 / 3 |
Total | 10 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
- Commit
4dee593
- Reviewed
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.