lsp-verify
About
The lsp-verify skill performs a three-layer verification check (LSP diagnostics, compiler build, and test suite) after code changes to ensure nothing is broken before committing. It automatically maps changed files to their corresponding tests and provides severity-ranked results. Developers should use this skill after completing edits, refactors, or new features as a final pre-commit safety check.
Quick Install
Claude Code
Recommendednpx skills add blackwell-systems/agent-lsp -a claude-code/plugin add https://github.com/blackwell-systems/agent-lspgit clone https://github.com/blackwell-systems/agent-lsp.git ~/.claude/skills/lsp-verifyCopy and paste this command in Claude Code to install this skill
Documentation
Requires the agent-lsp MCP server.
lsp-verify: Three-Layer Verification
When to Use
Run this skill after any significant change to verify correctness at every level:
- After editing source files (logic changes, refactors, new functions)
- After merging or rebasing branches
- After dependency updates or configuration changes
- Before committing or pushing code
Input
workspace_dir(required): absolute path to the workspace root (e.g./Users/you/code/myproject)changed_files(optional): list of files you edited — used for targeted diagnostics
Execution
Pre-step: Test correlation (when changed_files is provided)
Before running the three layers, call get_tests_for_file for each changed
source file to build a source → test file map:
mcp__lsp__get_tests_for_file({ "file_path": "<changed/source/file>" })
Returns the test files that correspond to each source file. Store this map —
it is used in Layer 3 to focus failure analysis. If changed_files is unknown,
skip this step.
Run all three layers in parallel — they are independent and do not need to be sequenced. Issue all three calls in the same message to minimize wall time.
Layer 1: LSP Diagnostics
Call mcp__lsp__get_diagnostics with file_path set to each changed file.
get_diagnostics takes a file path, not a workspace directory.
Note: requires LSP to be initialized. If not yet running, call start_lsp
with the workspace root first.
mcp__lsp__get_diagnostics({ "file_path": "<path/to/changed/file>" })
Call once per changed file. If you don't know which files changed, call it on the primary files touched in this session. Rank results by severity: errors first, then warnings.
Layer 2: Build
mcp__lsp__run_build({ "workspace_dir": "<workspace_dir>" })
Returns { "success": bool, "errors": [...] }. A failed build means the code
does not compile. Build errors are blocking — must be resolved before shipping.
Layer 3: Tests
mcp__lsp__run_tests({ "workspace_dir": "<workspace_dir>" })
Does NOT require start_lsp. Returns { "passed": bool, "failures": [...] }.
Large output warning: run_tests on large repos can return hundreds of
thousands of characters and exceed the context window. If the result is saved
to a file rather than returned inline, do NOT attempt to read the whole file.
Instead, search it for failures:
grep -E "^(FAIL|--- FAIL)" <output_file>
Or scope tests to the correlated test files from the pre-step to avoid the size issue entirely:
GOWORK=off go test -count=1 -short ./internal/mypackage/... 2>&1 | grep -E "FAIL|ok"
Using test correlation: If the pre-step produced a source → test file map, cross-reference failing test names against that map. For each failure, note whether it is in a correlated test file (directly covers the changed code) or an unrelated test file (collateral failure from a shared dependency). This distinction guides where to investigate first.
Test failures are blocking — they indicate regressions or unmet contracts.
Output Format
After running all three layers, produce a structured report:
## Verification Report
### Layer 1: LSP Diagnostics
[CLEAN / N errors, M warnings]
<details if N > 0 or M > 0>
Errors:
- file:line - message
Warnings:
- file:line - message
</details>
### Layer 2: Build
[PASSED / FAILED - N errors]
<details if FAILED>
- error message (file:line)
</details>
### Layer 3: Tests
[PASSED / FAILED - N failures]
<details if FAILED>
- test name: message (file:line) [correlated / unrelated]
</details>
<if test correlation map exists>
Test files covering changed source:
changed/source/file.go → test/source_file_test.go
</if>
### Summary
Overall: CLEAN / NEEDS ATTENTION
Blocking issues: [errors that must be fixed before shipping]
- CLEAN: no errors in any layer (warnings are advisory only)
- NEEDS ATTENTION: one or more blocking issues found
Blocking vs Advisory
| Layer | Errors | Warnings |
|---|---|---|
| LSP Diagnostics | Blocking | Advisory |
| Build | All blocking | N/A |
| Tests | All blocking | N/A |
Build errors and test failures block shipping. LSP warnings and style suggestions are advisory — document them but do not treat as blockers unless they indicate logical errors.
When Verification Passes: Optional Format
If all three layers are CLEAN and changed_files is known, offer to format
the changed files before committing:
mcp__lsp__format_document({ "file_path": "<changed-file>" })
Apply the returned TextEdit[] via apply_edit if non-empty. Run once per
changed file. Skip if the user did not request formatting.
When Errors Are Found: Applying Code Actions
If Layer 1 returns errors, the LSP may offer quick fixes. For each error
location, call suggest_fixes to surface available fixes:
mcp__lsp__suggest_fixes({
"file_path": "<file>",
"line": <error line>,
"column": <error column>
})
Returns a list of available actions (e.g. "Add missing import", "Implement interface methods", "Remove unused variable"). Pick the most appropriate one and apply it:
mcp__lsp__apply_edit({
"file_path": "<file>",
"old_text": "<text to replace>",
"new_text": "<replacement>"
})
Or if the code action returns a workspace_edit, pass it directly to
apply_edit via the workspace_edit parameter.
After applying, re-run Layer 1 on the affected file to confirm the error is resolved before moving on. Do not apply multiple code actions in bulk without verifying each one — they may interact.
When to use: Compile errors from missing imports, unimplemented interface methods, or type mismatches often have one-click fixes available. Manual reasoning is still required for logic errors.
GitHub Repository
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