Audit and improve skill collections with a 9-dimension scoring framework (Knowledge Delta, Mindset, Anti-Patterns, Specification Compliance, Progressive Disclosure, Freedom Calibration, Pattern Recognition, Practical Usability, Eval Validation), duplication detection, remediation planning, baseline comparison, and CI quality gates; use when evaluating skill quality, generating remediation plans, detecting duplicates, validating artifact conventions, or enforcing publication thresholds.
93
89%
Does it follow best practices?
Impact
99%
1.26xAverage score across 5 eval scenarios
Passed
No known issues
A developer has written a new SKILL.md for a SQL query-builder agent skill. The file is 180 lines and contains: an introduction explaining what SQL is, a step-by-step installation guide for the database driver, basic SELECT/INSERT syntax examples, a list of generic "best practices" (use indexes, avoid SELECT *), and a brief mention of connection pooling.
Evaluate this skill using the 9-dimension quality framework and produce a scored audit report.
skills/sql-query-builder/SKILL.md (excerpt):
---
name: sql-query-builder
description: "Help with SQL queries."
---
# SQL Query Builder
SQL (Structured Query Language) is used to interact with relational databases.
## Installation
Install the database driver:
```bash
pip install psycopg2SELECT statement:
SELECT * FROM users;INSERT statement:
INSERT INTO users (name, email) VALUES ('Alice', 'alice@example.com');## Output Specification
Produce:
1. **audit-report.md** — scored breakdown with per-dimension scores and justification
2. **remediation-plan.md** — prioritised list of improvements with effort estimatesassets
evals
scenario-1
scenario-2
scenario-3
scenario-4
scenario-5
references
scripts