Add Bmad-Method files and some brand-design artifacts!
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# Lens Contract
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The return mechanics every scan lens shares. Your own spec file gives you the lane and the bar; this file is how the work comes back.
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You receive the compact pre-pass JSON (`agent_type`, `is_memory_agent`, per-file token counts) and `{target-agent-path}` from the parent. Read the metrics first and open a raw file only for judgment a metric cannot settle. Return your findings to the parent in-context: never write a file or a per-subagent analysis document. The parent merges all lens returns and renders the report itself.
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Return exactly this JSON and nothing else:
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```json
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{
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"lens": "<your lens name>",
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"verdict": "<one line for this lens>",
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"findings": [
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{
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"id": "<lens>-<n>",
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"severity": "critical | high | medium | low",
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"title": "<short>",
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"location": "<file:region or file>",
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"evidence": "<what was observed>",
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"recommendation": "<the fix>"
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}
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]
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}
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```
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- `id` numbers sequentially within your lens (`<lens>-1`, `<lens>-2`), so every finding stays traceable after the merge.
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- The leanness lens alone adds `proposed_smallest` and `predicted_delta` to its defend-against-absence findings; every other lens and every other finding omits those keys.
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- If you find nothing, return an empty `findings` array with a verdict saying the agent passes your lens. Do not pad the list to look thorough — a weak finding that would not survive a real run is worse than no finding, and never invent a persona finding to fill space.
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