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agent-test
by roznet
⭐ 2🍴 1📅 Jan 17, 2026
SKILL.md
name: agent-test description: > Analyze aviation agent planner behavioral test results and apply improvement workflow. Use when: running planner tests, adding test cases to planner_test_cases.json, analyzing test failures, improving planner prompts, validating planner improvements, or working with tests/aviation_agent/ test infrastructure. allowed-tools: Read, Edit, Write, Bash, Glob, Grep
Aviation Agent Test Improvement
Analyze planner behavioral test results and systematically enhance tool definitions, planner prompts, and test coverage.
Critical: Use Existing Infrastructure Only
DO NOT CREATE NEW SCRIPTS. All infrastructure exists:
- Test Runner:
tests/aviation_agent/test_planner_behavior.py - Test Cases:
tests/aviation_agent/fixtures/planner_test_cases.json - CSV Results:
tests/aviation_agent/results/
Quick Start
- Read existing test cases from
tests/aviation_agent/fixtures/planner_test_cases.json - Generate new test cases and append to JSON file
- Run tests:
source ./venv/bin/activate export $(cat web/server/.env | grep -v '^#' | xargs) RUN_PLANNER_BEHAVIOR_TESTS=1 python -m pytest tests/aviation_agent/test_planner_behavior.py -v - Report CSV file path and summary metrics
- If failures exist, analyze CSV and propose code changes
Three-Agent Workflow
For detailed instructions on each agent, see:
- Ground Truth Generator - Generate expected tool selection for new questions
- Failure Analysis - Analyze failures and propose fixes
- Validation - Compare before/after results
Tool Selection Patterns
| Query Type | Tool | Key Arguments |
|---|---|---|
| Routes (from X to Y) | find_airports_near_route | from_location, to_location, filters |
| Near location | find_airports_near_location | location_query, filters |
| Airport details | get_airport_details | icao_code |
| Country search | search_airports | query, filters |
| Notification requirements | get_notification_for_airport | icao, day_of_week |
| Rules question (ONE country) | answer_rules_question | country_code, question, tags |
| Rules browsing (list all) | browse_rules | country_code, tags, offset, limit |
| Rules comparison (2+ countries) | compare_rules_between_countries | countries, tags, category |
Available Filters
| Filter | Type | Description |
|---|---|---|
fuel_type | 'avgas' | 'jet_a' | Preferred over legacy has_avgas/has_jet_a |
has_avgas | boolean | Legacy - still works |
has_jet_a | boolean | Legacy - still works |
has_hard_runway | boolean | Paved/hard surface runways |
has_procedures | boolean | IFR procedures available |
point_of_entry | boolean | Customs/border crossing |
country | string | ISO-2 country code |
min_runway_length_ft | number | Minimum runway length |
max_runway_length_ft | number | Maximum runway length |
max_landing_fee | number | Maximum landing fee |
max_hours_notice | number | Notification requirements |
hotel | boolean | On-site hotel |
restaurant | boolean | On-site restaurant |
Test Case Format
{
"question": "User question in natural language",
"expected_tool": "tool_name_from_manifest",
"expected_arguments": {
"arg1": "value1",
"filters": { "filter_key": true }
},
"description": "Why this tool/args combination is correct"
}
Critical Rules
- NEVER create new test scripts - Use existing
test_planner_behavior.py - NEVER create analysis scripts - Read CSV files directly
- ALWAYS edit existing files - Append to
planner_test_cases.json - ALWAYS use venv -
source ./venv/bin/activate - ALWAYS load environment -
export $(cat web/server/.env | grep -v '^#' | xargs) - ALWAYS run tests and report - Print CSV path and summary metrics
Output Format
After Running Tests
Tests completed
Results saved to: tests/aviation_agent/results/planner_test_results_YYYYMMDD_HHMMSS.csv
Summary:
- Total tests: 21
- Passed: 21 (100%)
- Failed: 0 (0%)
- Tool match: 21/21 (100%)
- Args match: 21/21 (100%)
Key Files
- Test Cases:
tests/aviation_agent/fixtures/planner_test_cases.json - Test Runner:
tests/aviation_agent/test_planner_behavior.py - Planner Prompt:
shared/aviation_agent/planning.py - Tool Definitions:
shared/aviation_agent/tools.py - Formatter:
shared/aviation_agent/formatting.py
Score
Total Score
60/100
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