Present a summary of the code base including lines of source code and complexity metrics.
Scanned 9/9/2026
Install to Claude Code
npx -y skills add AI-native-Systems-Research/ai-native-storage-certus --skill tools-count-sloc --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: tools-count-sloc
description: Present a summary of the code base including lines of source code and complexity metrics.
allowed-tools: Bash(*)
argument-hint: "[path] (default: repo root)"
---
Count lines of source code and present complexity metrics for the codebase.
## Input
Optional argument: a subdirectory to scope the analysis (e.g. `components/dispatcher/v0`). Defaults to the repository root.
## Steps
1. Determine the target directory:
```bash
REPO_ROOT=$(git rev-parse --show-toplevel 2>/dev/null || pwd)
if [[ -n "$ARGUMENTS" ]]; then
TARGET="$REPO_ROOT/$ARGUMENTS"
if [[ ! -d "$TARGET" ]]; then
echo "Error: directory not found: $TARGET" >&2
exit 1
fi
else
TARGET="$REPO_ROOT"
fi
```
2. Ensure `tokei` is installed (it's a fast, accurate SLOC counter written in Rust):
```bash
if ! command -v tokei &>/dev/null; then
echo "Installing tokei..."
cargo install tokei --quiet
fi
```
3. Run tokei for the SLOC summary, excluding build artifacts and vendored dependencies:
```bash
tokei "$TARGET" --exclude deps/spdk-build --exclude target --sort code
```
4. Run the complexity analysis script to produce per-component metrics:
```bash
SCRIPT="$(git rev-parse --show-toplevel)/.claude/skills/tools-count-sloc/complexity.sh"
bash "$SCRIPT" "$TARGET"
```
5. Present the results to the user in a clear summary with:
- Total lines of code (by language)
- Breakdown by component/directory
- Complexity indicators (files with highest function counts, deepest nesting)
- Comparison of code vs tests vs comments ratios
6. Write out the presented results to SUMMARY.md file. Interactively allow user to specify a different directory.
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