review-steps / test_review_preserves_vocabulary

Skill under test: .claude/skills/review-steps
Claude's review output should preserve domain-specific vocabulary.

Generated: 2026-04-03 11:20:33 UTC | Model: claude-sonnet-4-6 | Sessions: 1

Hard: PASS (6/6) Achievement: 100.0%

Session Summary

# Session ID Started Ended Tools Rejected Prompts Plans Reports Turns In Tokens Out Tokens Cost Duration
1 11a91854-041 2026-04-03T11:19:38Z 2026-04-03T11:20:33Z 14 0 2 0 0 9 10 3,174 $0.1601 54.5s

Session Details

Session 1: 11a91854-041

tools 14rejected 0prompts 2plans 0agent reports 0turns 9in tokens 10out tokens 3,174cache read 83,702cost $0.1601duration 54.5sapi time 54.0s

started 2026-04-03T11:19:38Z

#TimeTypeDetail show 14 ok results
1 +0.0s [+0.0s] user_prompt user_prompt: Review the document `draft.md` following the review-steps process. Complete the…Review the document `draft.md` following the review-steps process. Complete these stages, applying corrections directly to the file: 1. **Read and understand** — identify the document's function, audience, and goal 2. **Language and consistency** — fix spelling, grammar, punctuation; ensure consistent terminology and patterns 3. **Conceptual clarity** — fix incomplete sentences, unclear phrasing; expand acronyms on first use Apply all corrections directly to `draft.md` and save the result.▴
2 +0.0s [+0.0s] user_prompt user_prompt: Review the document `draft.md` following the review-steps process. Complete the…Review the document `draft.md` following the review-steps process. Complete these stages, applying corrections directly to the file: 1. **Read and understand** — identify the document's function, audience, and goal 2. **Language and consistency** — fix spelling, grammar, punctuation; ensure consistent terminology and patterns 3. **Conceptual clarity** — fix incomplete sentences, unclear phrasing; expand acronyms on first use Apply all corrections directly to `draft.md` and save the result.▴
3 +2.0s [+2.0s] tool_call Skill
  • skill: "review-steps"
4 +2.0s [+0.0s] tool_call Skill
  • skill: "review-steps"
5 +2.0s [+0.0s] tool_result PASS
6 +2.0s [+0.0s] tool_result PASS
7 +4.0s [+2.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md"
8 +4.0s [+0.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md"
9 +4.0s [+0.0s] tool_result PASS
10 +4.0s [+0.0s] tool_result PASS
11 +35.0s [+31.0s] tool_call Edit
  • file_path: "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md"
  • old_string: Projections (also called read models) materialized views that are built by processing the event stream. When a projection's schema changes, a full rebuild is required — the projection consumer resets …Projections (also called read models) materialized views that are built by processing the event stream. When a projection's schema changes, a full rebuild is required — the projection consumer resets it's offset to zero, truncates the target store, and replays every event. For large event stores, rebuild times can stretch to hours. Snapshot compaction reduces replay cost by periodically serializing aggregate state at a known sequence number. On load, the system reads the latest snapshot and only replays events after the snapshot's sequence number, this avoids processing the complete history.▴
  • new_string: Projections (also called read models) are materialized views that are built by processing the event stream. When a projection's schema changes, a full rebuild is required — the projection consumer res…Projections (also called read models) are materialized views that are built by processing the event stream. When a projection's schema changes, a full rebuild is required — the projection consumer resets its offset to zero, truncates the target store, and replays every event. For large event stores, rebuild times can stretch to hours. Snapshot compaction reduces replay cost by periodically serializing aggregate state at a known sequence number. On load, the system reads the latest snapshot and only replays events after the snapshot's sequence number; this avoids processing the complete history.▴
  • replace_all: false
12 +35.0s [+0.0s] tool_call Edit
  • file_path: "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md"
  • old_string: Projections (also called read models) materialized views that are built by processing the event stream. When a projection's schema changes, a full rebuild is required — the projection consumer resets …Projections (also called read models) materialized views that are built by processing the event stream. When a projection's schema changes, a full rebuild is required — the projection consumer resets it's offset to zero, truncates the target store, and replays every event. For large event stores, rebuild times can stretch to hours. Snapshot compaction reduces replay cost by periodically serializing aggregate state at a known sequence number. On load, the system reads the latest snapshot and only replays events after the snapshot's sequence number, this avoids processing the complete history.▴
  • new_string: Projections (also called read models) are materialized views that are built by processing the event stream. When a projection's schema changes, a full rebuild is required — the projection consumer res…Projections (also called read models) are materialized views that are built by processing the event stream. When a projection's schema changes, a full rebuild is required — the projection consumer resets its offset to zero, truncates the target store, and replays every event. For large event stores, rebuild times can stretch to hours. Snapshot compaction reduces replay cost by periodically serializing aggregate state at a known sequence number. On load, the system reads the latest snapshot and only replays events after the snapshot's sequence number; this avoids processing the complete history.▴
  • replace_all: false
13 +35.0s [+0.0s] tool_result PASS
14 +35.0s [+0.0s] tool_result PASS
15 +39.0s [+4.0s] tool_call Edit
  • file_path: "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md"
  • old_string: Read-model denormalization optimizes query performance by pre-computing flattened projections. e.g. an OrderSummary projection might join data from OrderPlaced, ItemAdded and PaymentReceived events in…Read-model denormalization optimizes query performance by pre-computing flattened projections. e.g. an OrderSummary projection might join data from OrderPlaced, ItemAdded and PaymentReceived events into a single document.▴
  • new_string: Read-model denormalization optimizes query performance by pre-computing flattened projections. For example, an OrderSummary projection might join data from OrderPlaced, ItemAdded, and PaymentReceived …Read-model denormalization optimizes query performance by pre-computing flattened projections. For example, an OrderSummary projection might join data from OrderPlaced, ItemAdded, and PaymentReceived events into a single document.▴
  • replace_all: false
16 +39.0s [+0.0s] tool_call Edit
  • file_path: "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md"
  • old_string: Read-model denormalization optimizes query performance by pre-computing flattened projections. e.g. an OrderSummary projection might join data from OrderPlaced, ItemAdded and PaymentReceived events in…Read-model denormalization optimizes query performance by pre-computing flattened projections. e.g. an OrderSummary projection might join data from OrderPlaced, ItemAdded and PaymentReceived events into a single document.▴
  • new_string: Read-model denormalization optimizes query performance by pre-computing flattened projections. For example, an OrderSummary projection might join data from OrderPlaced, ItemAdded, and PaymentReceived …Read-model denormalization optimizes query performance by pre-computing flattened projections. For example, an OrderSummary projection might join data from OrderPlaced, ItemAdded, and PaymentReceived events into a single document.▴
  • replace_all: false
17 +39.0s [+0.0s] tool_result PASS
18 +39.0s [+0.0s] tool_result PASS
19 +41.0s [+2.0s] tool_call Edit
  • file_path: "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md"
  • old_string: "Event throughput metrics alone provide a incomplete picture without consumer lag monitoring."
  • new_string: "Event throughput metrics alone provide an incomplete picture without consumer lag monitoring."
  • replace_all: false
20 +41.0s [+0.0s] tool_call Edit
  • file_path: "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md"
  • old_string: "Event throughput metrics alone provide a incomplete picture without consumer lag monitoring."
  • new_string: "Event throughput metrics alone provide an incomplete picture without consumer lag monitoring."
  • replace_all: false
21 +42.0s [+1.0s] tool_result PASS
22 +42.0s [+0.0s] tool_result PASS
23 +44.0s [+2.0s] tool_call Edit
  • file_path: "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md"
  • old_string: "Dead-letter queues capture events that repeatedly fail processing, preventing a single poison event from stalling the entire projection pipeline."
  • new_string: "Dead-letter queues capture events that repeatedly fail processing, preventing a single poison event (one that consistently causes processing errors) from stalling the entire projection pipeline."
  • replace_all: false
24 +44.0s [+0.0s] tool_call Edit
  • file_path: "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md"
  • old_string: "Dead-letter queues capture events that repeatedly fail processing, preventing a single poison event from stalling the entire projection pipeline."
  • new_string: "Dead-letter queues capture events that repeatedly fail processing, preventing a single poison event (one that consistently causes processing errors) from stalling the entire projection pipeline."
  • replace_all: false
25 +44.0s [+0.0s] tool_result PASS
26 +44.0s [+0.0s] tool_result PASS
27 +46.0s [+2.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md"
28 +46.0s [+0.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md"
29 +46.0s [+0.0s] tool_result PASS
30 +46.0s [+0.0s] tool_result PASS
requirePASS no error
expectPASS document modified

Test Checks

KindCheckDetail
PASSrequire[Review] result exists
PASSexpect[Ablation] coverage >= 0.71.000
PASSexpect[Ablation] lexical overlap >= 0.40.998
PASSexpect[Ablation] ablation risk < 0.350.002
ACHIEVEDachieve [expected][Ablation] coverage >= 0.851.000
ACHIEVEDachieve [challenging][Ablation] lexical overlap >= 0.60.998
ACHIEVEDachieve [challenging][Ablation] ablation risk < 0.150.002

Project Files

31 file(s) in project (excluding .git, __pycache__):

Aggregate Statistics

Total Events
30
Tool Successes
14
Tool Failures
0
Sessions
1
Total Turns
9
Input Tokens
10
Output Tokens
3,174
Cache Read
83,702
Cache Created
23,289
Total Cost
$0.1601
Total Duration
54s
API Time
54s

Tool Usage Breakdown

ToolCalls
Edit8
Read4
Skill2

Ablation

MetricValue
modepreserve
verdictCLEAN
coverage1.0
mean_lexical_overlap0.9983
mean_ablation_risk0.0017
mean_semantic_similarity0.9943
mean_freq_shift-180.72
concepts14 in / 14 out / 0 unmatched