fix(evidence): make result summaries safe

.superpowers/sdd/evidence-task-5c-report.md

@@ -170,3 +170,19 @@ and fail-closed tests, real Docker lifecycle, scoped Ruff/diff, and the full har
 
 Focused tests and scoped Ruff/diff pass. The contemporaneous full suite reaches an unrelated Task 6
 DWH snapshot fixture missing its newly required workspace identity.
+
+### Safe result representation and exact text totals
+
+- `PipelineResult.manifest` is explicitly excluded from dataclass representation and the custom
+  representation is fixed-size operational data only. It omits manifest ids, documents, chunks,
+  content, metadata, and errors; `str(result)` inherits the same safe representation.
+- Text-mode Evidence success output reads the uncapped aggregate totals from `payload["counts"]`
+  rather than the intentionally capped identifier arrays.
+- Regression coverage builds a thousand-document/chunk manifest containing content and
+  credential-like metadata secrets, checks bounded `repr`/`str`, and verifies exact totals above
+  the 100-item public-array cap.
+
+Focused Evidence verification passes (`67 passed`), and scoped Ruff is clean. The full harness run
+is not green in this sandbox: Docker-backed tests cannot access the daemon, wheel packaging cannot
+use the restricted build environment, and concurrent Task 6 DWH binding changes currently fail two
+DWH tests. None of those failures touch the Evidence files in this follow-up.

harness/tests/test_corpus_pipeline.py

@@ -5,7 +5,7 @@ import pytest
 from tht.corpus.chunk import ChunkPolicy
 from tht.corpus.pipeline import CorpusPipeline, PipelineError, PipelineResult
 from tht.corpus.store import CorpusStore
-from tht.corpus.models import CanonicalChunk, CorpusManifest
+from tht.corpus.models import CanonicalChunk, CanonicalDocument, CorpusManifest
 from tht.ports.evidence import AcquiredDocument, SourceObject
 from tht.ports.vector import VectorCapabilities, VectorHealth
 
@@ -362,6 +362,30 @@ def test_pipeline_result_public_dump_is_bounded_and_excludes_evidence_content(tm
     assert len(json.dumps(large)) < 25_000
 
 
+def test_pipeline_result_repr_is_bounded_and_excludes_manifest_secrets():
+    secret = "TOP_SECRET_CONTENT"
+    manifest = CorpusManifest.model_construct(
+        manifest_id="gen:" + "a" * 64,
+        documents=tuple(CanonicalDocument.model_construct(content=secret) for _ in range(1000)),
+        chunks=tuple(CanonicalChunk.model_construct(content=secret) for _ in range(1000)),
+        metadata={"password": secret, "credential": "Bearer " + secret},
+    )
+    result = PipelineResult(
+        "succeeded", "gen:" + "a" * 64, True, (), (), (), manifest,
+        run_id="b" * 32,
+    )
+
+    rendered = repr(result)
+    assert str(result) == rendered
+    assert len(rendered) < 1000
+    assert secret not in rendered
+    assert "password" not in rendered
+    assert "credential" not in rendered
+    assert "manifest" not in rendered.lower()
+    assert "documents" not in rendered
+    assert "chunks" not in rendered
+
+
 def test_reused_corpus_root_rejects_workspace_rename_before_any_mutation(tmp_path):
     vectors = Vectors()
     first = pipeline(tmp_path, Source([(item("one", "a"), "stable")]), vectors=vectors)

harness/tests/test_preprocess_cli.py

@@ -72,6 +72,27 @@ def test_preprocess_real_failed_stage_result_exits_nonzero(monkeypatch, tmp_path
     assert "secret" not in response.output
 
 
+def test_preprocess_evidence_text_uses_uncapped_result_counts(monkeypatch, tmp_path):
+    import tht.cli.preprocess_cmd as command
+
+    result = SimpleNamespace(model_dump=lambda mode=None: {
+        "status": "succeeded", "run_id": "a" * 32,
+        "generation": "gen:" + "b" * 64, "published": True,
+        "changed": ["fs:item"] * 100,
+        "unchanged": ["fs:item"] * 100,
+        "removed": ["fs:item"] * 100,
+        "counts": {"changed": 1001, "unchanged": 902, "removed": 803},
+    })
+    monkeypatch.setattr(command, "run_from_config", lambda *args, **kwargs: result)
+
+    response = CliRunner().invoke(
+        app, ["preprocess", "evidence", "-c", str(tmp_path / "workspace.yaml")]
+    )
+
+    assert response.exit_code == 0, response.output
+    assert "changed=1001 unchanged=902 removed=803" in response.output
+
+
 def test_preprocess_resume_rejects_generation_id_before_configuration(monkeypatch, tmp_path):
     import tht.cli.preprocess_cmd as command
 

harness/tht/cli/preprocess_cmd.py

@@ -172,9 +172,11 @@ def evidence_cmd(
     if json_output:
         typer.echo(json.dumps(payload, ensure_ascii=False, sort_keys=True))
     else:
+        counts = payload["counts"]
         typer.echo(
-            f"OK: run={payload['run_id']} generation={payload['generation']} changed={len(payload['changed'])} "
-            f"unchanged={len(payload['unchanged'])} removed={len(payload['removed'])}"
+            f"OK: run={payload['run_id']} generation={payload['generation']} "
+            f"changed={counts['changed']} unchanged={counts['unchanged']} "
+            f"removed={counts['removed']}"
         )
 
 

harness/tht/corpus/pipeline.py

@@ -7,7 +7,7 @@ import json
 import re
 import uuid
 from collections.abc import Mapping, Sequence
-from dataclasses import asdict, dataclass
+from dataclasses import asdict, dataclass, field
 from datetime import UTC
 from pathlib import Path
 
@@ -45,10 +45,22 @@ class PipelineResult:
     changed: tuple[str, ...]
     unchanged: tuple[str, ...]
     removed: tuple[str, ...]
-    manifest: CorpusManifest
+    manifest: CorpusManifest = field(repr=False)
     run_id: str | None = None
     resumed_from: str | None = None
 
+    def __repr__(self) -> str:
+        counts = {
+            "changed": len(self.changed),
+            "unchanged": len(self.unchanged),
+            "removed": len(self.removed),
+        }
+        return (
+            f"PipelineResult(status={self.status!r}, generation={self.generation!r}, "
+            f"published={self.published!r}, counts={counts!r}, "
+            f"run_id={self.run_id!r}, resumed_from={self.resumed_from!r})"
+        )
+
     def model_dump(self, mode=None):
         def bounded(values: tuple[str, ...]) -> list[str]:
             return [value[:200] for value in values[:100]]