आपके verifier में छिपा हुआ बग

if "SUCCESS OUTPUT" in execution_result:
    print("[AGI Status]: goal reached and verified via execution.")
    return

import re

def verify_goal(goal_checks, execution_result):
    """
    goal_checks: list of (description, predicate) the OUTPUT must satisfy.
    Written by the human, in code, before the agent runs.
    """
    if not execution_result.startswith("SUCCESS OUTPUT"):
        return False, "the code did not run cleanly"

    output = execution_result.split("SUCCESS OUTPUT:\n", 1)[1]

    for description, predicate in goal_checks:
        if not predicate(output):
            return False, f"ran, but failed the goal check: {description}"
    return True, "all goal checks passed"


# Written by you, not by the agent. This is the important part.
FIB_CHECKS = [
    ("prints the first 10 Fibonacci numbers",
     lambda out: "[0, 1, 1, 2, 3, 5, 8, 13, 21, 34]" in out),
    ("prints the verification line",
     lambda out: "VERIFICATION PASSED" in out),
    ("actually computed something, not just a literal print",
     lambda out: len(re.findall(r"\d+", out)) >= 10),
]

def evaluate_iteration(iteration, code_block, goal_checks, history):
    """Run one proposal and decide whether it actually met the goal.

    Returns (done, updated_history). Drop this in place of the bare
    'if "SUCCESS OUTPUT" in execution_result' check from Module 64.
    """
    execution_result = run_python_code(code_block)
    ok, reason = verify_goal(goal_checks, execution_result)

    history += (
        f"\n\nIteration {iteration} output:\n{execution_result}"
        f"\nVerifier: {reason}"
    )

    if ok:
        print(f"\n[AGI Status]: {reason}")
    else:
        # The reason is the useful part — it tells the next iteration
        # exactly which goal check it has to satisfy.
        print(f"[Verifier rejected]: {reason}")

    return ok, history