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Add self-scoping assessment export command

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Bernd Worsch
2026-05-15 12:39:51 +02:00
parent bc08977f85
commit 2796fc5816
10 changed files with 934 additions and 19 deletions
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15
docs/self-scoping/README.md
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@@ -33,3 +33,18 @@ assessment. Compare the challenger to the golden profile and to the negative
seed. Reviewers should be able to choose whether the old result, new result, or
neither is better, then store that judgement as a new assessment outcome.
## Export Command
Export a completed analysis run as a challenger artifact:
```bash
repo-scoping export-assessment \
--repo repo-scoping \
--analysis-run 39 \
--output docs/self-scoping/assessments/repo-scoping-challenger-run-39.json
```
The command reads an existing registry database and does not clone or scan the
target repository. It records the target analysis metadata, candidate graph,
approved map at export time, review decisions, fact and content summaries, known
regression patterns, and current repo-scoping engine identity.

53
docs/self-scoping/assessments/repo-scoping-known-bad-2026-05-15-run-39.json
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@@ -91,94 +91,125 @@
}
]
},
"content_chunk_summary": {
"total": 0,
"counts_by_kind": {},
"counts_by_source_role": {},
"paths": []
},
"generated_tree": {
"abilities": [
{
"name": "Support Repo Registry",
"status": "approved",
"primary_class": "repository-intelligence",
"source_refs": [],
"capabilities": [
{
"name": "Route LLM Requests Across Providers",
"status": "approved",
"primary_class": "llm-integration",
"source_refs": [],
"features": [
{
"name": "Use Anthropic Models",
"type": "integration",
"status": "approved",
"primary_class": "integration",
"location": "multiple files"
"location": "multiple files",
"source_refs": []
},
{
"name": "Use Claude Models",
"type": "integration",
"status": "approved",
"primary_class": "integration",
"location": "multiple files"
"location": "multiple files",
"source_refs": []
},
{
"name": "Use Gemini Models",
"type": "integration",
"status": "approved",
"primary_class": "integration",
"location": "multiple files"
"location": "multiple files",
"source_refs": []
},
{
"name": "Use OpenAI Models",
"type": "integration",
"status": "approved",
"primary_class": "integration",
"location": "multiple files"
"location": "multiple files",
"source_refs": []
},
{
"name": "Use OpenRouter Models",
"type": "integration",
"status": "approved",
"primary_class": "integration",
"location": "multiple files"
"location": "multiple files",
"source_refs": []
},
{
"name": "Configure LLM Provider Credentials",
"type": "configuration",
"status": "approved",
"primary_class": "configuration",
"location": "multiple files"
"location": "multiple files",
"source_refs": []
},
{
"name": "Maintain LLM Provider Registry",
"type": "backend",
"status": "approved",
"primary_class": "backend",
"location": "src/repo_registry/repo_scanning/scanner.py"
"location": "src/repo_registry/repo_scanning/scanner.py",
"source_refs": []
},
{
"name": "Apply LLM Provider Fallback Policy",
"type": "backend",
"status": "approved",
"primary_class": "backend",
"location": "src/repo_registry/repo_scanning/scanner.py"
"location": "src/repo_registry/repo_scanning/scanner.py",
"source_refs": []
},
{
"name": "HTTP API surface: possible API surface, GET /health, @app.post(, +43 more",
"type": "API",
"status": "approved",
"primary_class": "API",
"location": "multiple files"
"location": "multiple files",
"source_refs": []
},
{
"name": "CLI command surface: CLI command build_parser, CLI command make_service",
"type": "CLI",
"status": "approved",
"primary_class": "CLI",
"location": "multiple files"
"location": "multiple files",
"source_refs": []
}
]
],
"evidence": []
}
]
}
]
},
"approved_map": {},
"review_decisions": [
{
"id": 21,
"repository_id": 16,
"analysis_run_id": 39,
"action": "trusted_auto_approve_candidate_graph",
"notes": "Trusted auto-populate mode reviewed candidate graph after deterministic candidate generation. Auto-approved 1 safe candidate capability(s); left 0 for review. Approved: Route LLM Requests Across Providers: eligible LLM utility relationship with source support.",
"created_at": "2026-05-15 09:28:49"
}
],
"quality_gate_outcomes": [],
"known_regression_patterns": [
{
"id": "RREG-SELF-REG-001",