Validate and iterate on the SDLC Layer Separation Architecture implementation across the check categories defined in its Evaluation Checklist — cross-references, doc completeness, knowledge-explorer layer filters, research entry metadata, integration points, and plan consistency. Produces a structured findings report and optionally applies safe fixes. Use when validating a first-pass implementation, before claiming layer work complete, auditing layer docs or schema, or running --dry-run to preview findings without changes.
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Systematically evaluate the SDLC Layer Separation Architecture implementation and support iterative improvement. Treats the implementation as first-pass until validated.
--dry-run — Run all checks, produce report only. Do not apply fixes.--fix — After evaluation, apply safe fixes for broken references, missing metadata, or obvious gaps. Report what was changed.Run each check and record PASS / FAIL / SKIP with evidence.
For each linked path in plugins/development-harness/docs/sdlc-layers/ and related docs:
sam-definition.md — exists at plugins/development-harness/skills/work-backlog-item/references/sam-definition.mdplugins/development-harness/CLAUDE.md — existsstateless-agent-methodology/research/arl/PROVENANCE.md — exists (sibling repo or configured path)TASK_FILE_FORMAT.md — exists at plugins/development-harness/docs/TASK_FILE_FORMAT.mdrole-resolution-protocol.md — exists in development-harnessartifact-conventions.md, task-file-format.md, sam-pipeline.md, arl-touchpoints.md) contain redirect pointers to canonical locations. Validate each redirect target exists.Evidence: List each path checked and result (exists / 404 / wrong content).
Evidence: Glob or Read results for each expected file.
uv run research/knowledge-explorer.py list --layer 0 — returns entries with layer: "0"uv run research/knowledge-explorer.py list --layer 1 — returns entries with layer: "1"--layer is used (expected)Evidence: Paste command output for each.
evaluation-testing/harness-engineering-openai.md — has layer: "0"developer-tools/copier-astral.md — has layer: "1"research/README.md — has "Layer Mapping" sectionEvidence: Grep for layer: in frontmatter of each.
work-backlog-item SKILL, groom subcommand (references/workflows/groom/start.md) — documents ARL human-probing integration; references arl-human-probing-designrole-resolution-protocol.md — has "Layer 0 gates apply before role resolution"plugins/development-harness/CLAUDE.md — references layer modelEvidence: Grep or Read for key phrases.
Evidence: List any plan items not yet implemented or diverged.
Produce a structured report:
## SDLC Layer Evaluation Report
Date: {YYYY-MM-DD}
### Summary
- Cross-Reference: {PASS|FAIL|PARTIAL} — {brief}
- Doc Completeness: {PASS|FAIL|PARTIAL}
- Knowledge-Explorer: {PASS|FAIL|PARTIAL}
- Research Metadata: {PASS|FAIL|PARTIAL}
- Integration Points: {PASS|FAIL|PARTIAL}
- Plan Consistency: {PASS|FAIL|PARTIAL}
### Findings
1. [Category] {finding} — {suggested fix}
2. ...
### Recommended Actions
- [ ] {action 1}
- [ ] {action 2}After evaluation:
--fix: Apply safe fixes (broken paths, missing frontmatter fields, obvious typos). Report each change.--fix: Present findings; offer to create backlog items or apply fixes.Flow experiments and learnings live in sam-flow-experiments. Clone via SSH: git clone git@github.com:Jamie-BitFlight/sam-flow-experiments.git. When iterating, consider running experiments against concept fixtures to validate changes.
references/workflows/groom/start.md)3e0b2af
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