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---
adapter: contextual-ai-documentation-optimizer-adapter
wraps: plugins/plugin-creator/agents/contextual-ai-documentation-optimizer.md
normalizes_to: optimization-block-v1
version: "1.0"
---
# contextual-ai-documentation-optimizer Adapter
## Wrapped Component
`plugins/plugin-creator/agents/contextual-ai-documentation-optimizer.md`
This agent produces a multi-section output: RT-ICA assessment, optimized content, CoVe verification, and token impact report. Output is a STATUS: DONE or BLOCKED block with the optimized content inline or written to file.
## Native Output Contract
The agent produces:
1. RT-ICA pre-check assessment
2. Optimized file content (written in-place or to specified path)
3. CoVe post-check verification (did the output meet the objectives?)
4. Token impact report (before/after token counts)
5. STATUS: DONE or BLOCKED
## Adapter Transformation
The adapter maps the native output to `optimization-block-v1`:
```text
STATUS: DONE|BLOCKED|FAILED
SUMMARY: [what was optimized — extracted from agent's STATUS summary]
ARTIFACTS:
- {optimized-file-path}
VALIDATION:
- frontmatter-validator: PASS|FAIL
- prompt-structure-validator: PASS|FAIL
DIFF:
tokens_before: N
tokens_after: N
delta: +N / -N
prohibitions_converted: N
NOTES: [CoVe verification notes, if any issues found]
```
## Validators Added by Adapter
- `frontmatter-validator` — re-runs after optimization to confirm frontmatter is still valid
- `prompt-structure-validator` — checks that prohibition patterns were converted to positive alternatives
## BLOCKED Mapping
If the agent returns BLOCKED (typically due to RT-ICA pre-check failure), the adapter preserves the BLOCKED status. The RT-ICA failure reason is placed in NOTES. The user must provide the missing input before re-running.
## Token Impact Data
The adapter extracts token counts from the agent's token impact report. If the optimized content increased token count by more than 10%, the NOTES field includes a flag: "Token count increased — review before committing."
