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Refactor Plan: Cognitive Imaging Specialist

1. Scope

source_path: workbench/raw/认知显影者1.1.md
current_phase: Auditor Mode only
refactor_status: proposed, not executed

This plan does not upgrade or split the artifact yet. It only defines the recommended direction for a later Refactor Mode pass.

2. Recommended Target Form

Recommended Target: Hybrid split, preserving a Lite version

Suggested future structure:

1. Model Card
   -> 认知显影术 / Cognitive Imaging

2. CCPE-Skill
   -> cognitive-imaging five-step method

3. CCPE-Agent Spec
   -> Cognitive Imaging Specialist role and authority

4. CCPE-Lite Prompt
   -> portable one-piece version for chat products

5. Optional Runtime node
   -> only if used in review committee or model-mining workflow

3. Refactor Sequence

Step 1. Preserve original

Keep workbench/raw/认知显影者1.1.md unchanged.

Step 2. Extract Model Card draft

Extract only the cognitive model itself:

model name
aliases
source material
scope
core assumptions
mechanism
procedure
inputs
outputs
failure modes
falsification boundary
related skills
related agents
runtime usage
version status

Recommended status: draft, not active.

Step 3. Extract Skill draft

Convert the five-step method into a reusable CCPE-Skill:

Trigger:
  complex adaptive system analysis

Procedure:
  Capture
  Darkroom
  Enlarger
  Exposure
  Development

Validation:
  prediction error identified
  at least one causal test performed
  prohibition line stated
  external data treated as raw material

Step 4. Convert role into Agent Spec

The Agent should contain:

objective
role
context
capability
authority
workflow
constraints
state
output
evaluation
collaboration

The Agent should reference the Model Card and Skill rather than embedding all of them.

Step 5. Preserve portable Lite version

Keep a compact version for GPT / Gemini / Claude custom assistant usage. This is important because the original artifact is already effective as a standalone expert prompt.

Step 6. Propose Model Index update

Do not promote to active automatically. Keep or update status as:

status: draft
review_status: needs-user-confirmation

4. Human Decision Gates

Before Refactor Mode writes upgraded artifacts, the user should confirm:

1. Is the canonical Chinese model name "认知显影术"?
2. Should the role name be "认知显影专家" or "认知显影者"?
3. Should Cognitive Imaging be a draft Model Card first, or active after review?
4. Should the portable Lite version preserve the original severe voice?
5. Should联网检索 be allowed as tool use, or only as externally supplied context?
6. Should this Agent become a committee member later?

5. Refactor Risks

Over-splitting could weaken the original prompt's immediacy.
Over-sanitizing could destroy the darkroom / film-development metaphor.
Promoting the Model Card too early could freeze an incomplete model.
Treating retrieval as autonomous tool use without policy could exceed user intent.

6. Recommended Next Step

Run Refactor Mode only after the user confirms the target file set and the canonical naming decisions.

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