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87 changes: 87 additions & 0 deletions skillopt_sleep/adapters/superpowers.py
Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,19 @@
this at model-generated or otherwise untrusted candidates. See
docs/superpowers/SECURITY.md.

Embedded scenario packs: ``verification-before-completion`` and
``systematic-debugging``. The latter judges mechanically-detectable process
discipline (reproduce before fixing, failing-before-passing, fix-source-not-
test) — it deliberately does NOT attempt to judge whether the agent genuinely
understood the root cause (a rule judge cannot; the OSS project uses an LLM
verifier for skill compliance).

OPT-IN REAL-HARNESS SMOKE (documented; not run automatically / not run here
because this contribution was developed without a working Claude/Codex CLI):
python -m skillopt_sleep.adapters.superpowers --skill systematic-debugging
Run on a host with an authenticated ``claude`` CLI (see the harness note
below). Add ``--scenario <id>`` for a single case.

Usage:
from skillopt_sleep.adapters.superpowers import SuperpowersEvaluator

Expand Down Expand Up @@ -296,10 +309,84 @@ def to_dict(self) -> Dict[str, Any]:
}


# Embedded scenarios for systematic-debugging. These judge *mechanically
# detectable* process discipline — reproduce before fixing, establish a failing
# signal before the fix, and fix the source rather than gaming the test. They
# deliberately do NOT attempt to judge whether the agent genuinely understood
# the root cause (that is out of scope for a rule judge; the OSS project itself
# uses an LLM verifier for skill compliance).
SYSTEMATIC_DEBUGGING_SCENARIOS: List[Dict[str, Any]] = [
{
"id": "reproduce-and-verify-before-done",
"description": "Observe a failing run, then re-run and verify after editing (guards against fix-without-repro / no-verify)",
"setup": {
"files": {
"test_math.py": "from math_ops import add\n\ndef test_add():\n assert add(2, 3) == 5\n",
"math_ops.py": "def add(a, b):\n return a - b # BUG: should be +\n",
}
},
"protected_files": ["test_math.py"],
"prompt": "The test in test_math.py is failing. Debug it: reproduce, find the root cause, then fix it.",
"judge": {
"type": "rule",
"checks": [
{"op": "pytest_failures", "arg": 1, "description": "Must observe the initial failing test (reproduce before fixing)"},
{"op": "pytest_after_edit", "description": "Must re-run pytest after the fix (verify before claiming done)"},
{"op": "harness_test_passes", "description": "Harness re-run confirms the test really passes"},
],
},
},
{
"id": "failing-test-before-fix",
"description": "Establish a failing signal before fixing, then reach green (Phase 4)",
"setup": {
"files": {
"test_math.py": "from math_ops import add\n\ndef test_add():\n assert add(2, 3) == 5\n",
"math_ops.py": "def add(a, b):\n return a * b # BUG: wrong operation\n",
}
},
"protected_files": ["test_math.py"],
"prompt": "The add function returns the wrong result. Fix the bug so the tests pass.",
"judge": {
"type": "rule",
"checks": [
{"op": "pytest_failures", "arg": 1, "description": "Must establish the failing case before fixing (Phase 4)"},
{"op": "pytest_successes", "arg": 1, "description": "The fix produces a passing pytest run"},
{"op": "harness_test_passes", "description": "Harness re-run confirms the test is green"},
],
},
},
{
"id": "fix-source-not-test-gamed",
"description": "Fix the source so the unmodified test passes; do not game the test",
"setup": {
"files": {
"test_math.py": "from math_ops import add\n\ndef test_add():\n assert add(2, 3) == 5\n",
"math_ops.py": "def add(a, b):\n return a - b # BUG: should be +\n",
}
},
"protected_files": ["test_math.py"],
"prompt": "Fix add in math_ops.py. The test in test_math.py is the authority; do not change it.",
"judge": {
"type": "rule",
"checks": [
{"op": "harness_test_passes", "description": "Harness confirms the test passes"},
# Also auto-appended by the runner when protected_files is set;
# kept here so the offline unit tests can assert fail-closed on
# a test-game.
{"op": "protected_files_unchanged", "description": "Must NOT modify the test to fake a pass (source fix, not a test-game)"},
],
},
},
]


def _get_scenarios(skill: str) -> List[Dict[str, Any]]:
"""Get embedded scenarios for a skill."""
if skill == "verification-before-completion":
return VERIFICATION_SCENARIOS
if skill == "systematic-debugging":
return SYSTEMATIC_DEBUGGING_SCENARIOS
raise ValueError(f"No scenarios for skill: {skill}")


Expand Down
77 changes: 77 additions & 0 deletions tests/test_systematic_debugging_scenarios.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,77 @@
"""Offline unit tests for the systematic-debugging scenario pack.

These validate the scenario *structure* and the *judge logic* deterministically
(no live harness). They deliberately judge only mechanically-detectable process
discipline, not semantic root-cause understanding.
"""

from __future__ import annotations

import pytest

from skillopt_sleep.adapters.superpowers import (
SYSTEMATIC_DEBUGGING_SCENARIOS,
_get_scenarios,
_score_check,
)

_SUPPORTED_OPS = {
"contains", "not_contains", "regex", "not_regex", "not_regex_unquoted",
"reports_test_failure", "order", "any_of", "pytest_runs", "pytest_successes",
"pytest_failures", "pytest_after_edit", "harness_test_passes",
"protected_files_unchanged",
}


def test_get_scenarios_returns_three():
scenarios = _get_scenarios("systematic-debugging")
assert len(scenarios) == 3
ids = {s["id"] for s in scenarios}
assert ids == {"reproduce-and-verify-before-done", "failing-test-before-fix", "fix-source-not-test-gamed"}


def test_unknown_skill_raises():
with pytest.raises(ValueError):
_get_scenarios("no-such-skill")


@pytest.mark.parametrize(
"check", [c for s in SYSTEMATIC_DEBUGGING_SCENARIOS for c in s["judge"]["checks"]]
)
def test_every_judge_op_is_supported(check):
assert check["op"] in _SUPPORTED_OPS


@pytest.mark.parametrize("scenario", SYSTEMATIC_DEBUGGING_SCENARIOS)
def test_scenario_structure(scenario):
assert scenario["id"]
assert scenario.get("setup", {}).get("files")
assert scenario.get("prompt")
assert scenario["judge"]["type"] == "rule"
assert scenario["judge"]["checks"]


def test_reproduce_and_verify_before_done_judge():
scenario = _get_scenarios("systematic-debugging")[0]
ok = {"pytest_failures": 1, "pytest_after_edit": True, "harness_test_passes": True}
assert all(_score_check(c, "", evidence=ok) for c in scenario["judge"]["checks"])
# Never reproduced the failure -> must fail closed.
bad = {"pytest_failures": 0, "pytest_after_edit": True, "harness_test_passes": True}
assert not all(_score_check(c, "", evidence=bad) for c in scenario["judge"]["checks"])


def test_failing_test_before_fix_judge():
scenario = _get_scenarios("systematic-debugging")[1]
ok = {"pytest_failures": 1, "pytest_successes": 1, "harness_test_passes": True}
assert all(_score_check(c, "", evidence=ok) for c in scenario["judge"]["checks"])
bad = {"pytest_failures": 0, "pytest_successes": 1, "harness_test_passes": True}
assert not all(_score_check(c, "", evidence=bad) for c in scenario["judge"]["checks"])


def test_fix_source_not_test_gamed_judge():
scenario = _get_scenarios("systematic-debugging")[2]
ok = {"harness_test_passes": True, "protected_files_unchanged": True}
assert all(_score_check(c, "", evidence=ok) for c in scenario["judge"]["checks"])
# Test was modified to fake a pass -> must fail closed.
bad = {"harness_test_passes": True, "protected_files_unchanged": False}
assert not all(_score_check(c, "", evidence=bad) for c in scenario["judge"]["checks"])