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116524e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 | #!/usr/bin/env python3
"""Clean v3 Haiku skillbook by removing 29 problematic skills.
Removes skills that:
- Reference hallucinated tools (get_available_flights, rebook_passenger, etc.)
- Encode fabricated policies (loyalty points, weather monitoring, insurance)
- Are harmful/counterproductive (false fraud assumptions, blocking alternatives)
- Were never validated as helpful (0 helpful, only neutral counts)
Also edits skill 00024 to remove reference to nonexistent cancellation_reason param.
"""
import json
from pathlib import Path
INPUT = Path(
"tau_benchmark_results/tau_airline_claude-haiku-4-5-20251001_ace_20260209_154102_skillbook.json"
)
OUTPUT = Path("tau_benchmark_results/cleaned_haiku_skillbook.json")
# 29 skills to remove
REMOVE_IDS = {
# Hallucinated tool names (16)
"flight_rebooking-00017", # get_available_flights
"flight_rebooking-00022", # rebook_passenger
"reservation_management-00026", # cancellation_reason param
"reservation_management-00035", # get_reservations_by_user_id
"flight_modification-00047", # change_reservation
"reservation_management-00051", # update_reservation (combined)
"balance_management-00061", # get_gift_card_balance
"balance_management-00062", # get_certificate_balance
"balance_management-00063", # depends on 00061
"balance_management-00064", # depends on 00062
"flight_modification-00072", # modify_reservation
"flight_modification-00074", # modify_reservation (verify date)
"flight_modification-00075", # modify_reservation (confirm itinerary)
"reservation_management-00087", # get_reservations_by_user_id (bulk)
"reservation_management-00094", # get_current_time
"reservation_management-00095", # depends on get_current_time
# Hallucinated policies/systems (6)
"loyalty_compensation-00019", # 5,000 loyalty points system
"complaint_resolution-00085", # weather monitoring, 30-min buffer
"reservation_management-00105", # insurance claims eligibility
"reservation_management-00106", # 5-7 business days insurance refund
"reservation_management-00107", # medical documentation requirement
"reservation_management-00108", # insurance vs airline distinction
# Harmful/counterproductive (2)
"fraud_prevention-00016", # assumes fraud on missing details
"complaint_resolution-00104", # blocks offering alternatives
# Never validated (5)
"reservation_management-00027", # helpful=0, neutral=1
"flight_rebooking-00028", # helpful=0, neutral=1
"complaint_resolution-00029", # helpful=0, neutral=1
"reservation_management-00030", # helpful=0, neutral=1
"reservation_management-00096", # all zeros
}
def main():
data = json.loads(INPUT.read_text())
before = len(data["skills"])
assert before == 108, f"Expected 108 skills, got {before}"
# Remove skills
for sid in REMOVE_IDS:
removed = data["skills"].pop(sid, None)
assert removed is not None, f"Skill {sid} not found"
# Edit skill 00024: remove "and cancellation_reason parameter"
s24 = data["skills"]["reservation_management-00024"]
old = s24["content"]
s24["content"] = old.replace(" and cancellation_reason parameter", "")
assert "cancellation_reason" not in s24["content"], "Edit failed"
# Rebuild sections index
new_sections = {}
for sid, skill in data["skills"].items():
sec = skill["section"]
new_sections.setdefault(sec, []).append(sid)
data["sections"] = new_sections
after = len(data["skills"])
assert after == 79, f"Expected 79 skills, got {after}"
# Verify empty sections are gone
assert (
"balance_management" not in data["sections"]
), "balance_management should be removed"
assert (
"loyalty_compensation" not in data["sections"]
), "loyalty_compensation should be removed"
# Verify no hallucinated tool references remain in any skill
hallucinated = [
"get_gift_card_balance",
"get_certificate_balance",
"get_available_flights",
"rebook_passenger",
"change_reservation",
"modify_reservation",
"get_current_time",
"get_reservations_by_user_id",
]
for sid, skill in data["skills"].items():
for h in hallucinated:
assert h not in skill["content"], f"Skill {sid} still references {h}"
OUTPUT.write_text(json.dumps(data, indent=2) + "\n")
print(f"Cleaned: {before} -> {after} skills ({before - after} removed)")
print(f"Sections: {sorted(data['sections'].keys())}")
print(f"Saved to {OUTPUT}")
if __name__ == "__main__":
main()
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