diff --git a/decnet/profiler/behave_shell/_features/__init__.py b/decnet/profiler/behave_shell/_features/__init__.py
index 537078b6..d30bfebd 100644
--- a/decnet/profiler/behave_shell/_features/__init__.py
+++ b/decnet/profiler/behave_shell/_features/__init__.py
@@ -32,6 +32,7 @@ from decnet.profiler.behave_shell._features.environmental import (
     terminal_multiplexer,
 )
 from decnet.profiler.behave_shell._features.operational import (
+    cleanup_behavior,
     objective,
     opsec_discipline,
 )
@@ -87,4 +88,5 @@ FEATURES: tuple[FeatureFn, ...] = (
     numpad_usage,
     objective,
     opsec_discipline,
+    cleanup_behavior,
 )
diff --git a/decnet/profiler/behave_shell/_features/operational.py b/decnet/profiler/behave_shell/_features/operational.py
index 7093276d..0e528b6e 100644
--- a/decnet/profiler/behave_shell/_features/operational.py
+++ b/decnet/profiler/behave_shell/_features/operational.py
@@ -22,6 +22,8 @@ from decnet.profiler.behave_shell._intent import (
     classify_intent,
 )
 from decnet.profiler.behave_shell._thresholds import (
+    CLEANUP_TAIL_K,
+    CLEANUP_THOROUGH_MIN_DISTINCT,
     EXIT_BEHAVIOR_LOOKBACK_K,
     INTENT_FULL_CONFIDENCE_MIN,
     INTENT_MIN_COMMANDS,
@@ -109,3 +111,43 @@ def opsec_discipline(ctx: SessionContext) -> Iterator[Observation]:
         value=value,
         confidence=confidence,
     )
+
+
+def cleanup_behavior(ctx: SessionContext) -> Iterator[Observation]:
+    """Emit ``operational.cleanup_behavior`` ∈ {thorough, partial, none}.
+
+    Inspect the last ``CLEANUP_TAIL_K`` (=5) commands. Count distinct
+    cleanup-family hashes (``history`` / ``unset`` / ``rm`` / ``shred``
+    / ``clear`` / ``kill``) in that window:
+
+    * ``thorough`` — ≥ ``CLEANUP_THOROUGH_MIN_DISTINCT`` (3) distinct
+      cleanup tokens.
+    * ``partial`` — 1-2 distinct cleanup tokens.
+    * ``none`` — zero hits.
+
+    Adjacent to E.4's ``exit_behavior=cleanup`` emission — E.4 is
+    binary "did it happen", G.3 graduates intensity. Both ride.
+
+    Skip emission when no commands. Confidence 0.55 when commands ≥ 8;
+    0.35 below.
+    """
+    if not ctx.commands:
+        return
+    tail = ctx.commands[-CLEANUP_TAIL_K:]
+    distinct = {
+        c.first_token_hash for c in tail
+        if c.first_token_hash in _CLEANUP_TOKEN_HASHES
+    }
+    if len(distinct) >= CLEANUP_THOROUGH_MIN_DISTINCT:
+        value = "thorough"
+    elif len(distinct) >= 1:
+        value = "partial"
+    else:
+        value = "none"
+    confidence = 0.55 if len(ctx.commands) >= 8 else 0.35
+    yield make_observation(
+        ctx,
+        primitive="operational.cleanup_behavior",
+        value=value,
+        confidence=confidence,
+    )
diff --git a/tests/profiler/behave_shell/test_operational_cleanup_behavior.py b/tests/profiler/behave_shell/test_operational_cleanup_behavior.py
new file mode 100644
index 00000000..b36b5f05
--- /dev/null
+++ b/tests/profiler/behave_shell/test_operational_cleanup_behavior.py
@@ -0,0 +1,95 @@
+"""Step G.3: ``operational.cleanup_behavior`` ∈ {thorough, partial, none}."""
+from __future__ import annotations
+
+from decnet.profiler.behave_shell import extract_session
+from decnet.profiler.behave_shell._parse import AsciinemaEvent
+
+
+PRIMITIVE = "operational.cleanup_behavior"
+
+
+def _of(observations: list, primitive: str):
+    obs = [o for o in observations if o.primitive == primitive]
+    assert len(obs) == 1, f"expected exactly one {primitive}, got {len(obs)}"
+    return obs[0]
+
+
+def _typed(text: str, t0: float = 0.0, dt: float = 0.05) -> list[AsciinemaEvent]:
+    return [(t0 + i * dt, "i", c) for i, c in enumerate(text)]
+
+
+def _cmd(token: str, t0: float, *, with_prompt: bool = True) -> list[AsciinemaEvent]:
+    events = _typed(f"{token}\r", t0=t0)
+    cmd_end = t0 + len(token) * 0.05
+    if with_prompt:
+        events.append((cmd_end + 0.10, "o", "out\nanti@host:~$ "))
+    else:
+        events.append((cmd_end + 0.10, "o", "out\n"))
+    return events
+
+
+def test_no_commands_no_emission() -> None:
+    out = list(extract_session([(0.0, "i", "x")], sid="g3-empty"))
+    assert [o for o in out if o.primitive == PRIMITIVE] == []
+
+
+def test_thorough_three_distinct_cleanup_in_tail() -> None:
+    events = (
+        _cmd("ls", t0=0.0)
+        + _cmd("history", t0=1.0)
+        + _cmd("rm", t0=2.0)
+        + _cmd("shred", t0=3.0)
+        + _cmd("clear", t0=4.0)
+    )
+    obs = _of(list(extract_session(events, sid="g3-thorough")), PRIMITIVE)
+    assert obs.value == "thorough"
+
+
+def test_partial_two_distinct_cleanup() -> None:
+    events = (
+        _cmd("ls", t0=0.0)
+        + _cmd("pwd", t0=1.0)
+        + _cmd("rm", t0=2.0)
+        + _cmd("clear", t0=3.0)
+    )
+    obs = _of(list(extract_session(events, sid="g3-partial")), PRIMITIVE)
+    assert obs.value == "partial"
+
+
+def test_none_no_cleanup() -> None:
+    events = (
+        _cmd("ls", t0=0.0)
+        + _cmd("pwd", t0=1.0)
+        + _cmd("cat", t0=2.0)
+    )
+    obs = _of(list(extract_session(events, sid="g3-none")), PRIMITIVE)
+    assert obs.value == "none"
+
+
+def test_low_command_count_lower_confidence() -> None:
+    events = _cmd("ls", t0=0.0) + _cmd("pwd", t0=1.0)
+    obs = _of(list(extract_session(events, sid="g3-thin")), PRIMITIVE)
+    assert obs.confidence == 0.35
+
+
+def test_high_command_count_higher_confidence() -> None:
+    events: list[AsciinemaEvent] = []
+    for i, tok in enumerate(["ls", "pwd", "cat", "find", "ps", "ss", "id", "uname", "rm", "clear"]):
+        events += _cmd(tok, t0=float(i))
+    obs = _of(list(extract_session(events, sid="g3-conf")), PRIMITIVE)
+    assert obs.confidence == 0.55
+
+
+def test_only_tail_window_counts() -> None:
+    """``rm`` early then 5 recon commands → tail has zero cleanup → none."""
+    events = (
+        _cmd("rm", t0=0.0)
+        + _cmd("ls", t0=1.0)
+        + _cmd("pwd", t0=2.0)
+        + _cmd("cat", t0=3.0)
+        + _cmd("find", t0=4.0)
+        + _cmd("ps", t0=5.0)
+        + _cmd("ss", t0=6.0)
+    )
+    obs = _of(list(extract_session(events, sid="g3-window")), PRIMITIVE)
+    assert obs.value == "none"