generator-coding / test_library_generator[baseline]

Skill under test: .claude/skills/generator-coding
Generator-coding skill vs baseline: SQLite book-library task.

Generated: 2026-04-03 11:16:05 UTC | Model: claude-sonnet-4-6 | Sessions: 1

Hard: PASS (4/4) Achievement: 100.0%

Session Summary

# Session ID Started Ended Tools Rejected Prompts Plans Reports Turns In Tokens Out Tokens Cost Duration
1 a8f5c05c-1e9 2026-04-03T11:14:11Z 2026-04-03T11:16:05Z 22 0 4 0 0 5 5 2,071 $0.1980 33.6s

Session Details

Session 1: a8f5c05c-1e9

tools 22rejected 0prompts 4plans 0agent reports 0turns 5in tokens 5out tokens 2,071cache read 57,279cost $0.1980duration 33.6sapi time 113.0s

started 2026-04-03T11:14:11Z

#TimeTypeDetail show 20 ok results
1 +0.0s [+0.0s] user_prompt user_prompt: Create a small SQLite book-library system with these tables: - **authors** (id,Create a small SQLite book-library system with these tables: - **authors** (id, name, birth_year) - **books** (id, title, isbn, author_id FK) - **borrowers** (id, name, email) - **loans** (id, book_id FK, borrower_id FK, loan_date, return_date nullable) Then create a Python program `library.py` that: - Creates the database and tables - Inserts 3 sample authors, 5 books, and 2 borrowers - Records 2 loans (one returned, one active) - Prints a report of all active loans with book title and borrower name Create a plan for this.
2 +0.0s [+0.0s] user_prompt user_prompt: Create a small SQLite book-library system with these tables: - **authors** (id,Create a small SQLite book-library system with these tables: - **authors** (id, name, birth_year) - **books** (id, title, isbn, author_id FK) - **borrowers** (id, name, email) - **loans** (id, book_id FK, borrower_id FK, loan_date, return_date nullable) Then create a Python program `library.py` that: - Creates the database and tables - Inserts 3 sample authors, 5 books, and 2 borrowers - Records 2 loans (one returned, one active) - Prints a report of all active loans with book title and borrower name Create a plan for this.
3 +9.0s [+9.0s] tool_call Agent
  • description: "Plan SQLite library system"
  • prompt: Design an implementation plan for a small SQLite book-library system. The user wants a single Python file called `library.py` that does everything. Requirements: 1. **Database schema** with these tabDesign an implementation plan for a small SQLite book-library system. The user wants a single Python file called `library.py` that does everything. Requirements: 1. **Database schema** with these tables: - `authors` (id INTEGER PK, name TEXT, birth_year INTEGER) - `books` (id INTEGER PK, title TEXT, isbn TEXT, author_id INTEGER FK → authors) - `borrowers` (id INTEGER PK, name TEXT, email TEXT) - `loans` (id INTEGER PK, book_id INTEGER FK → books, borrower_id INTEGER FK → borrowers, loan_date TEXT, return_date TEXT nullable) 2. **`library.py`** must: - Create the SQLite database file (`library.db`) and all four tables (with FK constraints) - Insert 3 sample authors, 5 books (spread across authors), 2 borrowers - Record 2 loans: one returned (return_date set), one active (return_date NULL) - Print a report of all active loans showing book title and borrower name The project root is `/tmp/pytest-sandbox/test_library_generator_baselin0/project/`. Please produce a detailed, step-by-step implementation plan covering: - File(s) to create and their purpose - The exact SQL DDL for each table (including FK constraints and PRAGMA foreign_keys) - The sample data to insert - The query for the active-loans report - Code structure / function breakdown for `library.py` - Any edge cases or considerations (e.g., idempotency via DROP IF EXISTS or CREATE IF NOT EXISTS)
  • subagent_type: "Plan"
4 +9.0s [+0.0s] tool_call Agent
  • description: "Plan SQLite library system"
  • prompt: Design an implementation plan for a small SQLite book-library system. The user wants a single Python file called `library.py` that does everything. Requirements: 1. **Database schema** with these tabDesign an implementation plan for a small SQLite book-library system. The user wants a single Python file called `library.py` that does everything. Requirements: 1. **Database schema** with these tables: - `authors` (id INTEGER PK, name TEXT, birth_year INTEGER) - `books` (id INTEGER PK, title TEXT, isbn TEXT, author_id INTEGER FK → authors) - `borrowers` (id INTEGER PK, name TEXT, email TEXT) - `loans` (id INTEGER PK, book_id INTEGER FK → books, borrower_id INTEGER FK → borrowers, loan_date TEXT, return_date TEXT nullable) 2. **`library.py`** must: - Create the SQLite database file (`library.db`) and all four tables (with FK constraints) - Insert 3 sample authors, 5 books (spread across authors), 2 borrowers - Record 2 loans: one returned (return_date set), one active (return_date NULL) - Print a report of all active loans showing book title and borrower name The project root is `/tmp/pytest-sandbox/test_library_generator_baselin0/project/`. Please produce a detailed, step-by-step implementation plan covering: - File(s) to create and their purpose - The exact SQL DDL for each table (including FK constraints and PRAGMA foreign_keys) - The sample data to insert - The query for the active-loans report - Code structure / function breakdown for `library.py` - Any edge cases or considerations (e.g., idempotency via DROP IF EXISTS or CREATE IF NOT EXISTS)
  • subagent_type: "Plan"
5 +12.0s [+3.0s] tool_call Bash
  • command: "ls /tmp/pytest-sandbox/test_library_generator_baselin0/project/"
  • description: "List project root contents"
6 +12.0s [+0.0s] tool_call Bash
  • command: "ls /tmp/pytest-sandbox/test_library_generator_baselin0/project/"
  • description: "List project root contents"
7 +12.0s [+0.0s] tool_result PASS
8 +12.0s [+0.0s] tool_result PASS
9 +15.0s [+3.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_baselin0/project/CLAUDE.md"
10 +15.0s [+0.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_baselin0/project/CLAUDE.md"
11 +16.0s [+1.0s] tool_result PASS
12 +16.0s [+0.0s] tool_result PASS
13 +16.0s [+0.0s] tool_call Bash
  • command: "ls /tmp/pytest-sandbox/test_library_generator_baselin0/project/audit/"
  • description: "List audit directory contents"
14 +16.0s [+0.0s] tool_call Bash
  • command: "ls /tmp/pytest-sandbox/test_library_generator_baselin0/project/audit/"
  • description: "List audit directory contents"
15 +16.0s [+0.0s] tool_result PASS
16 +16.0s [+0.0s] tool_result PASS
17 +19.0s [+3.0s] tool_call Bash
  • command: "ls /tmp/pytest-sandbox/test_library_generator_baselin0/project/audit/dev_record/ && ls /tmp/pytest-sandbox/test_library_generator_baselin0/project/audit/ops_record/"
  • description: "List audit subdirectories"
18 +19.0s [+0.0s] tool_call Bash
  • command: "ls /tmp/pytest-sandbox/test_library_generator_baselin0/project/audit/dev_record/ && ls /tmp/pytest-sandbox/test_library_generator_baselin0/project/audit/ops_record/"
  • description: "List audit subdirectories"
19 +19.0s [+0.0s] tool_result PASS
20 +19.0s [+0.0s] tool_result PASS
21 +22.0s [+3.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_baselin0/project/audit/dev_record/20260403T111411Z-a8f5c05c-1e95-48ad-8742-adb38ed93a0a.jsonl"
22 +22.0s [+0.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_baselin0/project/audit/dev_record/20260403T111411Z-a8f5c05c-1e95-48ad-8742-adb38ed93a0a.jsonl"
23 +22.0s [+0.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_baselin0/project/audit/agent-report.sh"
24 +22.0s [+0.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_baselin0/project/audit/agent-report.sh"
25 +22.0s [+0.0s] tool_result PASS
26 +22.0s [+0.0s] tool_result PASS
27 +63.0s [+41.0s] tool_result PASS
28 +63.0s [+0.0s] tool_result PASS
29 +80.0s [+17.0s] user_prompt user_prompt: Now implement your plan. Create all files in the current directory and run librNow implement your plan. Create all files in the current directory and run library.py to verify it works.
30 +80.0s [+0.0s] user_prompt user_prompt: Now implement your plan. Create all files in the current directory and run librNow implement your plan. Create all files in the current directory and run library.py to verify it works.
31 +86.0s [+6.0s] tool_call Bash
  • command: "bash /tmp/pytest-sandbox/test_library_generator_baselin0/project/audit/agent-report.sh "session-001" "plan_stated" "Implement library.py: SQLite schema, seed data, active loans report""
  • description: "Log plan_stated event before implementing"
32 +86.0s [+0.0s] tool_call Bash
  • command: "bash /tmp/pytest-sandbox/test_library_generator_baselin0/project/audit/agent-report.sh "session-001" "plan_stated" "Implement library.py: SQLite schema, seed data, active loans report""
  • description: "Log plan_stated event before implementing"
33 +86.0s [+0.0s] tool_result PASS
34 +86.0s [+0.0s] tool_result PASS
35 +87.0s [+1.0s] tool_call Bash
  • command: "ls /tmp/pytest-sandbox/test_library_generator_baselin0/project/"
  • description: "List project directory contents"
36 +87.0s [+0.0s] tool_call Bash
  • command: "ls /tmp/pytest-sandbox/test_library_generator_baselin0/project/"
  • description: "List project directory contents"
37 +87.0s [+0.0s] tool_result PASS
38 +87.0s [+0.0s] tool_result PASS
39 +106.0s [+19.0s] tool_call Write
  • file_path: "/tmp/pytest-sandbox/test_library_generator_baselin0/project/library.py"
  • content: """ library.py — SQLite book-library system Creates the database and tables, inserts sample data, and prints a report of all active (unreturned) loans with book title and borrower name. """ import s""" library.py — SQLite book-library system Creates the database and tables, inserts sample data, and prints a report of all active (unreturned) loans with book title and borrower name. """ import sqlite3 from pathlib import Path DB_PATH = Path(__file__).parent / "library.db" # --------------------------------------------------------------------------- # Connection # --------------------------------------------------------------------------- def get_connection(db_path: Path = DB_PATH) -> sqlite3.Connection: """Open (or create) the SQLite database and configure it.""" conn = sqlite3.connect(db_path) conn.execute("PRAGMA foreign_keys = ON") conn.row_factory = sqlite3.Row return conn # --------------------------------------------------------------------------- # Schema # --------------------------------------------------------------------------- def create_schema(conn: sqlite3.Connection) -> None: """Create all four tables if they do not already exist.""" with conn: conn.executescript(""" PRAGMA foreign_keys = ON; CREATE TABLE IF NOT EXISTS authors ( id INTEGER PRIMARY KEY AUTOINCREMENT, name TEXT NOT NULL, birth_year INTEGER ); CREATE TABLE IF NOT EXISTS books ( id INTEGER PRIMARY KEY AUTOINCREMENT, title TEXT NOT NULL, isbn TEXT NOT NULL, author_id INTEGER NOT NULL REFERENCES authors(id) ); CREATE TABLE IF NOT EXISTS borrowers ( id INTEGER PRIMARY KEY AUTOINCREMENT, name TEXT NOT NULL, email TEXT NOT NULL ); CREATE TABLE IF NOT EXISTS loans ( id INTEGER PRIMARY KEY AUTOINCREMENT, book_id INTEGER NOT NULL REFERENCES books(id), borrower_id INTEGER NOT NULL REFERENCES borrowers(id), loan_date TEXT NOT NULL, return_date TEXT -- NULL means still on loan ); """) # --------------------------------------------------------------------------- # Seed data # --------------------------------------------------------------------------- def seed_data(conn: sqlite3.Connection) -> None: """Insert sample data — skipped if authors table already has rows.""" row = conn.execute("SELECT COUNT(*) FROM authors").fetchone() if row[0] > 0: return # already seeded; avoid duplicates on re-runs authors = [ (None, "George Orwell", 1903), (None, "Ursula K. Le Guin", 1929), (None, "Frank Herbert", 1920), ] books = [ # (None, title, isbn, author_id) (None, "Nineteen Eighty-Four", "978-0451524935", 1), (None, "Animal Farm", "978-0451526342", 1), (None, "The Left Hand of Darkness", "978-0441478125", 2), (None, "The Dispossessed", "978-0061054884", 2), (None, "Dune", "978-0441013593", 3), ] borrowers = [ (None, "Alice Nguyen", "alice@example.com"), (None, "Bob Martinez", "bob@example.com"), ] # loan_date and return_date stored as ISO 8601 TEXT loans = [ # book_id, borrower_id, loan_date, return_date (returned) (None, 1, 1, "2026-03-01", "2026-03-15"), # book_id, borrower_id, loan_date, return_date (active — NULL) (None, 5, 2, "2026-03-20", None), ] with conn: conn.executemany( "INSERT INTO authors VALUES (?, ?, ?)", authors ) conn.executemany( "INSERT INTO books VALUES (?, ?, ?, ?)", books ) conn.executemany( "INSERT INTO borrowers VALUES (?, ?, ?)", borrowers ) conn.executemany( "INSERT INTO loans VALUES (?, ?, ?, ?, ?)", loans ) # --------------------------------------------------------------------------- # Report # --------------------------------------------------------------------------- def print_active_loans(conn: sqlite3.Connection) -> None: """Print all loans where return_date IS NULL.""" query = """ SELECT books.title AS book_title, borrowers.name AS borrower_name, loans.loan_date AS loan_date FROM loans JOIN books ON books.id = loans.book_id JOIN borrowers ON borrowers.id = loans.borrower_id WHERE loans.return_date IS NULL ORDER BY loans.loan_date """ rows = conn.execute(query).fetchall() print() print("Active Loans Report") print("===================") if not rows: print(" (no active loans)") else: for row in rows: print( f" Book: {row['book_title']:<30} " f"Borrower: {row['borrower_name']:<20} " f"Loaned: {row['loan_date']}" ) print() # --------------------------------------------------------------------------- # Entry point # --------------------------------------------------------------------------- def main() -> None: conn = get_connection() try: create_schema(conn) seed_data(conn) print_active_loans(conn) finally: conn.close() if __name__ == "__main__": main()
40 +106.0s [+0.0s] tool_call Write
  • file_path: "/tmp/pytest-sandbox/test_library_generator_baselin0/project/library.py"
  • content: """ library.py — SQLite book-library system Creates the database and tables, inserts sample data, and prints a report of all active (unreturned) loans with book title and borrower name. """ import s""" library.py — SQLite book-library system Creates the database and tables, inserts sample data, and prints a report of all active (unreturned) loans with book title and borrower name. """ import sqlite3 from pathlib import Path DB_PATH = Path(__file__).parent / "library.db" # --------------------------------------------------------------------------- # Connection # --------------------------------------------------------------------------- def get_connection(db_path: Path = DB_PATH) -> sqlite3.Connection: """Open (or create) the SQLite database and configure it.""" conn = sqlite3.connect(db_path) conn.execute("PRAGMA foreign_keys = ON") conn.row_factory = sqlite3.Row return conn # --------------------------------------------------------------------------- # Schema # --------------------------------------------------------------------------- def create_schema(conn: sqlite3.Connection) -> None: """Create all four tables if they do not already exist.""" with conn: conn.executescript(""" PRAGMA foreign_keys = ON; CREATE TABLE IF NOT EXISTS authors ( id INTEGER PRIMARY KEY AUTOINCREMENT, name TEXT NOT NULL, birth_year INTEGER ); CREATE TABLE IF NOT EXISTS books ( id INTEGER PRIMARY KEY AUTOINCREMENT, title TEXT NOT NULL, isbn TEXT NOT NULL, author_id INTEGER NOT NULL REFERENCES authors(id) ); CREATE TABLE IF NOT EXISTS borrowers ( id INTEGER PRIMARY KEY AUTOINCREMENT, name TEXT NOT NULL, email TEXT NOT NULL ); CREATE TABLE IF NOT EXISTS loans ( id INTEGER PRIMARY KEY AUTOINCREMENT, book_id INTEGER NOT NULL REFERENCES books(id), borrower_id INTEGER NOT NULL REFERENCES borrowers(id), loan_date TEXT NOT NULL, return_date TEXT -- NULL means still on loan ); """) # --------------------------------------------------------------------------- # Seed data # --------------------------------------------------------------------------- def seed_data(conn: sqlite3.Connection) -> None: """Insert sample data — skipped if authors table already has rows.""" row = conn.execute("SELECT COUNT(*) FROM authors").fetchone() if row[0] > 0: return # already seeded; avoid duplicates on re-runs authors = [ (None, "George Orwell", 1903), (None, "Ursula K. Le Guin", 1929), (None, "Frank Herbert", 1920), ] books = [ # (None, title, isbn, author_id) (None, "Nineteen Eighty-Four", "978-0451524935", 1), (None, "Animal Farm", "978-0451526342", 1), (None, "The Left Hand of Darkness", "978-0441478125", 2), (None, "The Dispossessed", "978-0061054884", 2), (None, "Dune", "978-0441013593", 3), ] borrowers = [ (None, "Alice Nguyen", "alice@example.com"), (None, "Bob Martinez", "bob@example.com"), ] # loan_date and return_date stored as ISO 8601 TEXT loans = [ # book_id, borrower_id, loan_date, return_date (returned) (None, 1, 1, "2026-03-01", "2026-03-15"), # book_id, borrower_id, loan_date, return_date (active — NULL) (None, 5, 2, "2026-03-20", None), ] with conn: conn.executemany( "INSERT INTO authors VALUES (?, ?, ?)", authors ) conn.executemany( "INSERT INTO books VALUES (?, ?, ?, ?)", books ) conn.executemany( "INSERT INTO borrowers VALUES (?, ?, ?)", borrowers ) conn.executemany( "INSERT INTO loans VALUES (?, ?, ?, ?, ?)", loans ) # --------------------------------------------------------------------------- # Report # --------------------------------------------------------------------------- def print_active_loans(conn: sqlite3.Connection) -> None: """Print all loans where return_date IS NULL.""" query = """ SELECT books.title AS book_title, borrowers.name AS borrower_name, loans.loan_date AS loan_date FROM loans JOIN books ON books.id = loans.book_id JOIN borrowers ON borrowers.id = loans.borrower_id WHERE loans.return_date IS NULL ORDER BY loans.loan_date """ rows = conn.execute(query).fetchall() print() print("Active Loans Report") print("===================") if not rows: print(" (no active loans)") else: for row in rows: print( f" Book: {row['book_title']:<30} " f"Borrower: {row['borrower_name']:<20} " f"Loaned: {row['loan_date']}" ) print() # --------------------------------------------------------------------------- # Entry point # --------------------------------------------------------------------------- def main() -> None: conn = get_connection() try: create_schema(conn) seed_data(conn) print_active_loans(conn) finally: conn.close() if __name__ == "__main__": main()
41 +106.0s [+0.0s] tool_result PASS
42 +106.0s [+0.0s] tool_result PASS
43 +108.0s [+2.0s] tool_call Bash
  • command: "python library.py"
  • description: "Run library.py to verify it works"
44 +108.0s [+0.0s] tool_call Bash
  • command: "python library.py"
  • description: "Run library.py to verify it works"
45 +108.0s [+0.0s] tool_result PASS
46 +108.0s [+0.0s] tool_result PASS
requirePASS no error
expectPASS files exist: library.py — found 1: ['library.py']
expectPASS file contains /CREATE\s+TABLE/ in *.py
achieveACHIEVED no files: *.dbml [expected] — absent as expected
achieveACHIEVED no files: *.jinja2 | *.j2 | *.jinja [expected] — absent as expected

Test Checks

KindCheckDetail
PASSrequire[Implement] result exists

Project Files

33 file(s) in project (excluding .git, __pycache__):

Aggregate Statistics

Total Events
46
Tool Successes
20
Tool Failures
0
Sessions
1
Total Turns
5
Input Tokens
5
Output Tokens
2,071
Cache Read
57,279
Cache Created
2,938
Total Cost
$0.1980
Total Duration
34s
API Time
113s

Tool Usage Breakdown

ToolCalls
Bash12
Read6
Agent2
Write2