test(rules): add final QA evidence and mark review complete

Final Review Results:
- F1 (Plan Compliance): OKAY - Must Have [12/12], Must NOT Have [8/8]
- F2 (Code Quality): OKAY - All files pass quality criteria
- F3 (Manual QA): OKAY - Scenarios [5/5 pass]
- F4 (Scope Fidelity): OKAY - No unaccounted changes

All 21 tasks complete (T1-T17 + F1-F4)
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m3tm3re
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# Opencode Rules Nix Module - Manual QA Results
## Test Summary
Date: 2025-02-17
Module: `/home/m3tam3re/p/NIX/nixpkgs/lib/opencode-rules.nix`
Test Type: Manual QA (nix eval)
---
## Scenario Results
### Scenario 1: Empty Config (Defaults Only)
**Command**: `nix eval --impure --json --expr 'let pkgs = import <nixpkgs> {}; m3taLib = import /home/m3tam3re/p/NIX/nixpkgs/lib {lib = pkgs.lib;}; in m3taLib.opencode-rules.mkOpencodeRules { agents = /home/m3tam3re/p/AI/AGENTS; }'`
**Results**:
- ✅ Valid JSON output
- ✅ Has `$schema` field in embedded opencode.json
- ✅ Has `instructions` field
- ✅ Correct instruction count: 6 (default concerns only)
**Expected Instructions**:
1. `.opencode-rules/concerns/coding-style.md`
2. `.opencode-rules/concerns/naming.md`
3. `.opencode-rules/concerns/documentation.md`
4. `.opencode-rules/concerns/testing.md`
5. `.opencode-rules/concerns/git-workflow.md`
6. `.opencode-rules/concerns/project-structure.md`
---
### Scenario 2: Single Language (Python)
**Command**: `nix eval --impure --json --expr 'let pkgs = import <nixpkgs> {}; m3taLib = import /home/m3tam3re/p/NIX/nixpkgs/lib {lib = pkgs.lib;}; in m3taLib.opencode-rules.mkOpencodeRules { agents = /home/m3tam3re/p/AI/AGENTS; languages = ["python"]; }'`
**Results**:
- ✅ Valid JSON output
- ✅ Has `$schema` field in embedded opencode.json
- ✅ Has `instructions` field
- ✅ Correct instruction count: 7 (6 concerns + 1 language)
**Expected Instructions**:
- All 6 default concerns
- `.opencode-rules/languages/python.md`
---
### Scenario 3: Multi-Language
**Command**: `nix eval --impure --json --expr 'let pkgs = import <nixpkgs> {}; m3taLib = import /home/m3tam3re/p/NIX/nixpkgs/lib {lib = pkgs.lib;}; in m3taLib.opencode-rules.mkOpencodeRules { agents = /home/m3tam3re/p/AI/AGENTS; languages = ["python" "typescript" "nix" "shell"]; }'`
**Results**:
- ✅ Valid JSON output
- ✅ Has `$schema` field in embedded opencode.json
- ✅ Has `instructions` field
- ✅ Correct instruction count: 10 (6 concerns + 4 languages)
**Expected Instructions**:
- All 6 default concerns
- `.opencode-rules/languages/python.md`
- `.opencode-rules/languages/typescript.md`
- `.opencode-rules/languages/nix.md`
- `.opencode-rules/languages/shell.md`
---
### Scenario 4: With Frameworks
**Command**: `nix eval --impure --json --expr 'let pkgs = import <nixpkgs> {}; m3taLib = import /home/m3tam3re/p/NIX/nixpkgs/lib {lib = pkgs.lib;}; in m3taLib.opencode-rules.mkOpencodeRules { agents = /home/m3tam3re/p/AI/AGENTS; languages = ["python"]; frameworks = ["n8n"]; }'`
**Results**:
- ✅ Valid JSON output
- ✅ Has `$schema` field in embedded opencode.json
- ✅ Has `instructions` field
- ✅ Correct instruction count: 8 (6 concerns + 1 language + 1 framework)
**Expected Instructions**:
- All 6 default concerns
- `.opencode-rules/languages/python.md`
- `.opencode-rules/frameworks/n8n.md`
---
### Scenario 5: Extra Instructions
**Command**: `nix eval --impure --json --expr 'let pkgs = import <nixpkgs> {}; m3taLib = import /home/m3tam3re/p/NIX/nixpkgs/lib {lib = pkgs.lib;}; in m3taLib.opencode-rules.mkOpencodeRules { agents = /home/m3tam3re/p/AI/AGENTS; languages = ["python"]; extraInstructions = [".opencode-rules/custom.md"]; }'`
**Results**:
- ✅ Valid JSON output
- ✅ Has `$schema` field in embedded opencode.json
- ✅ Has `instructions` field
- ✅ Correct instruction count: 8 (6 concerns + 1 language + 1 custom)
**Expected Instructions**:
- All 6 default concerns
- `.opencode-rules/languages/python.md`
- `.opencode-rules/custom.md`
---
## Content Quality Spot Checks
### 1. coding-style.md (Concern Rule)
**Assessment**: ✅ High Quality
- Clear critical rules with "Always/Never" directives
- Good vs. bad code examples
- Comprehensive coverage: formatting, patterns, error handling, type safety, function design, SOLID
- Well-structured sections
### 2. python.md (Language Rule)
**Assessment**: ✅ High Quality
- Modern toolchain recommendations (uv, ruff, pyright, pytest, hypothesis)
- Common idioms with practical examples
- Anti-patterns with explanations
- Project setup structure
- Clear, actionable code snippets
### 3. n8n.md (Framework Rule)
**Assessment**: ✅ High Quality
- Concise workflow design principles
- Clear naming conventions
- Error handling patterns
- Security best practices
- Actionable testing guidelines
---
## Issues Encountered
### Socket File Issue
**Issue**: `nix eval` failed with `error: file '/home/m3tam3re/p/AI/AGENTS/.beads/bd.sock' has an unsupported type`
**Workaround**: Temporarily moved `.beads` directory outside the AGENTS tree during testing
**Root Cause**: Nix attempts to evaluate/store the `agents` path recursively and encounters unsupported socket files (Unix domain sockets)
**Recommendation**: Consider adding `.beads` to `.gitignore` and excluding it from path evaluation if possible, or document this limitation for users
---
## Final Verdict
```
Scenarios [5/5 pass] | VERDICT: OKAY
```
### Summary
- All 5 test scenarios executed successfully
- All JSON outputs are valid and properly structured
- All embedded `opencode.json` configurations have required `$schema` and `instructions` fields
- Instruction counts match expected values for each scenario
- Rule content quality is high across concern, language, and framework rules
- Shell hook properly generates symlink and configuration file
### Notes
- Socket file issue requires workaround (documented)
- Module correctly handles default concerns, multiple languages, frameworks, and custom instructions
- Code examples in rules are clear and actionable