review-feedback-schema

# Review Feedback Schema

## Purpose

Structured format for logging code review outcomes. This data enables:
1. Identifying rules that produce false positives
2. Tracking skill accuracy over time
3. Automated skill improvement via pattern analysis

## Schema

```csv
date,file,line,rule_source,category,severity,issue,verdict,rationale
```

| Field | Type | Description | Example Values |
|-------|------|-------------|----------------|
| `date` | ISO date | When review occurred | `2025-12-23` |
| `file` | path | Relative file path | `amelia/agents/developer.py` |
| `line` | string | Line number(s) | `128`, `190-191` |
| `rule_source` | string | Skill and rule that triggered issue | `python-code-review/common-mistakes:unused-variables`, `pydantic-ai-common-pitfalls:tool-decorator` |
| `category` | enum | Issue taxonomy | `type-safety`, `async`, `error-handling`, `style`, `patterns`, `testing`, `security` |
| `severity` | enum | As flagged by reviewer | `critical`, `major`, `minor` |
| `issue` | string | Brief description | `Return type list[Any] loses type safety` |
| `verdict` | enum | Human decision | `ACCEPT`, `REJECT`, `DEFER`, `ACKNOWLEDGE` |
| `rationale` | string | Why verdict was chosen | `pydantic-ai docs explicitly support this pattern` |

## Gates (feedback log rows)

Run **in order** before appending a row. Do not skip ahead while a gate fails.

1. **Evidence bound to code**
   - **Pass when:** `file` is a repo-relative path that exists (or existed at review time), and `line` identifies line number(s) you actually opened—not only a paraphrased summary.

2. **Rule source attributable**
   - **Pass when:** `rule_source` matches `skill-name[/section]:rule-id` (see [Rule Source Format](#rule-source-format)). If the trigger is unknown, set a best-effort source and state the gap in `rationale` instead of inventing a rule id.

3. **Verdict backed by artifact**
   - **Pass when:** For `REJECT`, `rationale` cites something checkable (command + output, doc URL, or quoted code). For `ACCEPT`, it states the fix or points to the change. For `DEFER`/`ACKNOWLEDGE`, it names a tracker, timeline, or documented intent per [Verdict Types](#verdict-types).

4. **Row shape valid**
   - **Pass when:** The line has nine comma-separated fields matching the header row; fields that contain commas or newlines are CSV-quoted so a standard parser preserves columns.

## Verdict Types

| Verdict | Meaning | Action |
|---------|---------|--------|
| `ACCEPT` | Issue is valid, will fix | Code change made |
| `REJECT` | Issue is invalid/wrong | No change; may improve skill |
| `DEFER` | Valid but not fixing now | Tracked for later |
| `ACKNOWLEDGE` | Valid but intentional | Document why it's intentional |

### When to Use Each

**ACCEPT**: The reviewer correctly identified a real issue.
```csv
2025-12-27,amelia/agents/developer.py,128,python-code-review:type-safety,type-safety,major,Return type list[Any] loses type safety,ACCEPT,Changed to list[AgentMessage]
```

**REJECT**: The reviewer was wrong - the code is correct.
```csv
2025-12-23,amelia/drivers/api/openai.py,102,python-code-review:line-length,style,minor,Line too long (104 > 100),REJECT,ruff check passes - no E501 violation exists
```

**DEFER**: Valid issue but out of scope for current work.
```csv
2025-12-22,api/handlers.py,45,fastapi-code-review:error-handling,error-handling,minor,Missing specific exception type,DEFER,Refactoring planned for Q1
```

**ACKNOWLEDGE**: Intentional design decision.
```csv
2025-12-21,core/cache.py,89,python-code-review:optimization,patterns,minor,Using dict instead of dataclass,ACKNOWLEDGE,Performance-critical path - intentional
```

## Rule Source Format

Format: `skill-name/section:rule-id` or `skill-name:rule-id`

Examples:
- `python-code-review/common-mistakes:unused-variables`
- `pydantic-ai-common-pitfalls:tool-decorator`
- `fastapi-code-review:dependency-injection`
- `pytest-code-review:fixture-scope`

Use the skill folder name and identify the specific rule or section that triggered the issue.

## Category Taxonomy

| Category | Description | Examples |
|----------|-------------|----------|
| `type-safety` | Type annotation issues | Missing types, incorrect types, `Any` usage |
| `async` | Async/await issues | Blocking in async, missing await |
| `error-handling` | Exception handling | Bare except, missing error handling |
| `style` | Code style/formatting | Line length, naming conventions |
| `patterns` | Design patterns | Anti-patterns, framework misuse |
| `testing` | Test quality | Missing coverage, flaky tests |
| `security` | Security issues | Injection, secrets exposure |

## Writing Good Rationales

### For ACCEPT

Explain what you fixed:
- "Changed Exception to (FileNotFoundError, OSError)"
- "Fixed using model_copy(update={...})"
- "Removed unused Any import"

### For REJECT

Explain why the issue is invalid:
- "ruff check passes - no E501 violation exists" (linter authoritative)
- "pydantic-ai docs explicitly support this pattern" (framework idiom)
- "Intentional optimization documented in code comment" (documented decision)

### For DEFER

Explain when/why it will be addressed:
- "Tracked in issue #123"
- "Refactoring planned for Q1"
- "Blocked on dependency upgrade"

### For ACKNOWLEDGE

Explain why it's intentional:
- "Performance-critical path per project conventions (e.g. AGENTS.md or CLAUDE.md)"
- "Legacy API compatibility requirement"
- "Matches upstream library pattern"

## Example Log

```csv
date,file,line,rule_source,category,severity,issue,verdict,rationale
2025-12-20,tests/integration/test_cli_flows.py,407,pytest-code-review:parametrization,testing,minor,Unused extra_args parameter in parametrization,ACCEPT,Fixed - removed dead parameter
2025-12-20,tests/integration/test_cli_flows.py,237-242,pytest-code-review:coverage,testing,major,Missing review --local in git repo error test,REJECT,Not applicable - review uses different error path
2025-12-21,amelia/server/orchestrator/service.py,1702,pyth