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Audit and repair an internal knowledge base — staleness, ownership gaps, orphans, duplication, and findability.
Passed 17 of 22 test cases with the skill, and 11 of 22 without it.
and 5 more in the full report
7 fixed10 passed either way4 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
What exact command line execution scans markdown files in `./docs` as of `2026-07-21` and outputs JSON using the health auditor script?
| Checked | Without skill | With skill |
|---|---|---|
| Executes `python3 business-operations/knowledge-ops/scripts/kb_health_auditor.py --root ./docs --as-of 2026-07-21 --format json`. | Missed | Passed |
The instructions your model reads when the skill loads.
Knowledge bases do not fail by being incomplete. They fail by becoming untrustworthy: once a reader has been burned twice by a confidently wrong page, they stop reading and start asking in chat, and every subsequent doc you write is written into a void. This skill treats the KB as an operational system with owners, freshness SLAs, and a measurable health score — not as a writing backlog.
The core insight is that deletion is the highest-value action available. Most struggling knowledge bases need 30% fewer pages, not more pages.
Before generating, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
test cases passed, vs 11 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.