dnfjeff/expand-yoyr-mind/evaluator

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Independent assessment without debate context — adversarial loop prevents gaming

Install

npx vskill@latest install dnfjeff/expand-yoyr-mind/evaluator

SKILL.md

The same SKILL.md was published earlier as simhacker/moollm/evaluator.

Evaluator

"Fresh eyes, no bias, just the rubric."

Committee output goes to a separate model instance with NO debate context.

The Separation

yaml
evaluation:
principle: "Evaluator has NO access to:"
- debate_transcript
- speaker_identities
- amendment_history
- voting_patterns
- minority_dissents
evaluator_sees_only:
- final_output
- rubric_criteria
- subject_matter_context

Room Architecture

yaml
# committee-room/
# ROOM.yml
# debate.yml
# output.yml
# outbox/
# evaluation-request-001.yml
# evaluation-room/
# ROOM.yml
# rubric.yml
# inbox/
# evaluation-request-001.yml # Landed here
# evaluations/
# eval-001.yml

Evaluation Request

yaml
# Thrown from committee to evaluator
evaluation_request:
id: eval-req-001
from: committee-room
timestamp: "2026-01-05T15:00:00Z"
subject: "Client X Engagement Decision"
output_only: |
Recommendation: Accept Client X with:
- Explicit scope boundaries
- Milestone-based billing
- Quarterly scope review
Confidence: 0.65
Key considerations:
- Revenue opportunity aligns with growth goals
- Risk mitigated by contractual protections
- Capacity impact manageable
rubric: client-evaluation-v1
# Note: NO debate context included

Evaluation Process

yaml
evaluation:
request: eval-req-001
evaluator: "fresh model instance"
context_loaded: false # Critical!
steps:
1. load_rubric: client-evaluation-v1
2. read_output: evaluation_request.output_only
3. score_each_criterion: independently
4. calculate_weighted_total: true
5. generate_critique: if score < threshold

Evaluation Output

yaml
# evaluation-room/evaluations/eval-001.yml
evaluation:
id: eval-001
request: eval-req-001
timestamp: "2026-01-05T15:05:00Z"
rubric: client-evaluation-v1
scores:
resource_efficiency:
score: 4
rationale: "Output indicates capacity is manageable"
risk_level:
score: 3
rationale: "Mitigations proposed but not detailed"
confidence: "Would score higher with specific terms"
strategic_alignment:
score: 4
rationale: "Growth goals mentioned, seems aligned"
stakeholder_impact:
score: 3
rationale: "Not explicitly addressed in output"
flag: "Committee should consider stakeholder effects"
weighted_total: 3.45
threshold: 3.5
result: REVIEW # Just below accept
critique:
summary: "Close to acceptance threshold"
gaps:
- "Risk mitigation lacks specifics"
- "Stakeholder impact not addressed"
- "Confidence of 0.65 seems low for recommendation"
suggestions:
- "Detail the milestone structure"
- "Explain how scope boundaries will be enforced"
- "Address impact on existing clients and team"
if_addressed: "Score could reach 3.7+ (accept)"

Revision Loop

yaml
revision_loop:
max_iterations: 3
flow:
1. committee_outputs: recommendation
2. evaluator_scores: against rubric
3. if score >= threshold: ACCEPT
4. if score < threshold:
- evaluator_generates: critique
- critique_thrown_to: committee inbox
- committee_revises: based on critique
- goto: step 1
5. if max_iterations reached: ESCALATE to human

Adversarial Properties

yaml
adversarial_separation:
why: "Prevents committee gaming metrics"
committee_cannot:
- see_evaluator_reasoning
- predict_exact_scores
- optimize_for_rubric_loopholes
evaluator_cannot:
- be_influenced_by_debate_dynamics
- favor_particular_speakers
- weight_majority_over_minority
result: "Genuine quality signal"

Commands

CommandAction
EVALUATE [output]Send to independent evaluator
APPLY RUBRIC [name]Score against criteria
CRITIQUEGenerate improvement suggestions
REVISECommittee addresses critique
ESCALATESend to human decision maker

Integration

mermaid
graph TD
C[Committee] -->|output| T[THROW to outbox]
T -->|lands in| I[Evaluator inbox]
I --> E[Evaluate]
R[RUBRIC.yml] --> E
E --> S{Score}
S -->|≥ threshold| A[✅ Accept]
S -->|< threshold| CR[Generate Critique]
CR -->|THROW back| CI[Committee inbox]
CI --> REV[Revise]
REV --> C
subgraph "No Context Crossing"
I
E
R
end

Model Instance Separation

For true independence:

yaml
implementation:
option_1:
name: "Fresh conversation"
method: "New chat with no history"
option_2:
name: "Separate model"
method: "Different API call, different instance"
option_3:
name: "System prompt separation"
method: "Explicit instruction: 'You have no prior context'"
key_principle: |
The evaluator must NOT have access to:
- How the committee reached the conclusion
- Who said what
- What alternatives were considered
- Why certain risks were dismissed
Only the final output matters.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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