Knowledge Base Statistics
SkillDocs & knowledgePure-Python knowledge base statistics dashboard. Reads shelf-index and log.md; emits Inventory, Layer distribution, Domain distribution, Recent Activity, and Staleness sections. No agent dispatch. Read-only.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Knowledge Base Statistics skill
What this skill tells your AI
The instructions your AI receives, as published by stevegjones/ai-first-sdlc-practices in plugins/sdlc-knowledge-base/skills/kb-stats/SKILL.md and read by ahel’s review.
Lightweight: This skill reads only index metadata (shelf-index + log.md). Inline execution is acceptable — no agent dispatch needed.
Surfaces library health metrics in a single markdown report.
Arguments
--output <path>— Write report to a file instead of stdout--since <ISO-date>— Override the recent-activity window start date (default: 30 days ago)
Preflight
Read CLAUDE.md [Knowledge Base] section to resolve library_path (default library/) and shelf_index_path (default library/_shelf-index.md).
Steps
1. Resolve configuration
Extract library_path, shelf_index_path, and log_path (default library/log.md) from CLAUDE.md.
2. Run kb_stats.py
python3 -c "
import sys, os, importlib.util
PLUGIN_ROOT = os.environ.get('CLAUDE_PLUGIN_ROOT', '')
SCRIPTS = os.path.join(PLUGIN_ROOT, 'scripts')
INIT = os.path.join(SCRIPTS, '__init__.py')
if os.path.isfile(INIT) and 'sdlc_knowledge_base_scripts' not in sys.modules:
spec = importlib.util.spec_from_file_location(
'sdlc_knowledge_base_scripts', INIT,
submodule_search_locations=[SCRIPTS])
if spec and spec.loader:
mod = importlib.util.module_from_spec(spec)
sys.modules['sdlc_knowledge_base_scripts'] = mod
spec.loader.exec_module(mod)
from sdlc_knowledge_base_scripts.kb_stats import main
args = ['--library-path', '<library_path>',
'--shelf-index-path', '<shelf_index_path>',
'--log-path', '<log_path>']
# If --output <path> passed: args += ['--output', '<output_path>']
# If --since <date> passed: args += ['--since', '<since_date>']
sys.exit(main(args))
"
3. Report results
Print the markdown report (5 sections). If --output was passed, confirm the file was written.
What this skill does NOT do
- Does not validate citations (
kb-validate-citationsdoes that) - Does not detect contradictions (
kb-lintdoes that) - Does not query findings (
kb-querydoes that) - Does not invoke any agent
Errors
- Library directory not found — run
/sdlc-knowledge-base:kb-initfirst - No shelf-index — run
/sdlc-knowledge-base:kb-rebuild-indexesfirst
Signals
- GitHub stars
- 41
- Forks
- 6
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
kb-stats- Source
- github.com/stevegjones/ai-first-sdlc-practices