Enhance dynamic factors, value field, and situation output

[sparklkt]

What changed

This PR advances InnerBrain-Factor from a pure rule skeleton toward a more dynamic small-factor prototype.

• expands MASTER_SPEC.md with attention sovereignty, runtime risk tiers, self-evolution boundaries, digital body framing, and a clearer AGI Seed vs AGI statement
• upgrades small-factor generation so InputEvent is parsed into risk_terms, goal_terms, action_terms, and value_terms, then combined with instinct templates to produce finer-grained dynamic factors
• adds source_terms to each factor so term provenance is preserved in the reasoning trace
• extends the value field to support a staged design with pre_generation_bias, competition weighting, and final review behavior
• enriches BigSituation with supporting/opposing/fused summaries, a decision boundary, autonomy refusal reasons, and evidence gaps
• expands tests to cover low-risk offline tasks, self-modification gating, creative preference weighting, fusion behavior, and growth-log persistence of human_judgment_required

Why it changed

The first version validated the basic rule pipeline. This second round makes the prototype behave more like a dynamic small-factor system while remaining fully offline, deterministic, and testable.

Impact

• reasoning factors are now more granular and traceable
• value guidance affects more than one point in the pipeline
• final situation output is richer and easier to inspect or review
• safety boundaries remain explicit for networking, self-modification, privilege escalation, and real-world impact

Validation

• pytest -> 10 passed

[sparklkt]

PR #1 currently has merge conflicts and cannot be merged.

Please resolve the conflicts on branch enhance-dynamic-factors-v0.2.

Recommended steps:

git checkout enhance-dynamic-factors-v0.2
git fetch origin
git merge origin/main
# resolve conflicts carefully, preserving the v0.2 dynamic-factor implementation
git status
pytest
git add .
git commit -m "Resolve merge conflicts for dynamic factors PR"
git push origin enhance-dynamic-factors-v0.2

Conflict resolution priority:

1. Preserve the expanded MASTER_SPEC.md sections: attention sovereignty, runtime tiers, self-evolution boundaries, digital body, AGI Seed vs AGI statement.
2. Preserve source_terms in SmallFactor.
3. Preserve dynamic term extraction in innerbrain/factors/generator.py.
4. Preserve build_pre_generation_bias() and staged value-field behavior.
5. Preserve enriched BigSituation fields: summaries, decision_boundary, why_not_autonomous, evidence_gaps.
6. Preserve tests added in this PR.
7. Ensure pytest passes before pushing.

After pushing, this PR should become mergeable.