scbe-experimental-research-safe-integration
Design and execute advanced experimental research with fail-closed safety integration for SCBE systems. Use when users ask to test novel kernels/manifolds, map proposals into the 21D/M4 state layout, add semantic mesh overlays (including 230-bit envelopes), or move experimental results toward production safely.
Best use case
scbe-experimental-research-safe-integration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Design and execute advanced experimental research with fail-closed safety integration for SCBE systems. Use when users ask to test novel kernels/manifolds, map proposals into the 21D/M4 state layout, add semantic mesh overlays (including 230-bit envelopes), or move experimental results toward production safely.
Teams using scbe-experimental-research-safe-integration should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/scbe-experimental-research-safe-integration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How scbe-experimental-research-safe-integration Compares
| Feature / Agent | scbe-experimental-research-safe-integration | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Design and execute advanced experimental research with fail-closed safety integration for SCBE systems. Use when users ask to test novel kernels/manifolds, map proposals into the 21D/M4 state layout, add semantic mesh overlays (including 230-bit envelopes), or move experimental results toward production safely.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# SCBE Experimental Research + Safe Integration
## Operating Contract
1. Preserve canonical SCBE terms and spelling.
2. Preserve canonical wall formula `H(d*,R) = R · pi^(phi · d*)` unless explicitly overridden.
3. Treat new formulas and kernels as untrusted until dimensional and behavior checks pass.
4. Default to fail-closed decisions (`DENY` or `QUARANTINE`) when evidence is incomplete.
5. Keep experiment and production paths separate until all gates pass.
6. Emit both `StateVector` and `DecisionRecord` for every meaningful step.
## Workflow
1. Frame the experiment:
- Write hypothesis, expected gain, and explicit failure modes.
- Define measurable metrics and pass/fail thresholds before running.
2. Establish baseline:
- Capture current production-equivalent metrics and artifact hashes.
- Require reproducible replay seeds.
3. Map the proposal into 21D:
- `1-3` SCBE context/trust
- `4-6` Dual-Lattice perpendicular space
- `7-9` PHDM cognitive position
- `10-12` Sacred Tongues phase encoding
- `13-15` M4 model manifold position (`model_x`, `model_y`, `model_z`)
- `16-18` Swarm composite state
- `19-21` HYDRA ordering/meta
4. Add tri/quaternary kernel overlays:
- Use K-ary simplex state `p_t ∈ Δ^(K-1)` with `K=3` or `K=4`.
- Track multi-timescale channels: `T_micro`, `T_task`, `T_stage`, `T_life`.
- Track causal inputs: `I` (intent), `P` (pressure), `D` (depth), `q=Time/Intent`.
5. Apply 230-bit semantic mesh overlay exoskeleton:
- Treat this as governance metadata packing, not standalone confidentiality.
- Pack 230 bits with deterministic schema:
- `84 bits`: 21D signed quantized state (`21 x 4 bits`)
- `18 bits`: Sacred Tongues semantic phase block
- `24 bits`: time channels (`T_micro/T_task/T_stage/T_life`)
- `24 bits`: intent kernel block (`I/P/D/q`)
- `24 bits`: M4 model block (`x/y/z`)
- `16 bits`: gate flags and rollout state
- `32 bits`: integrity digest prefix
- `8 bits`: epoch/nonce shard
- If confidentiality/integrity is required, wrap this overlay in approved crypto (for example SCBE/PQC + AEAD).
6. Run safe integration gates:
- `G0` Spec gate: dimensions, invariants, and thresholds defined.
- `G1` Unit gate: deterministic tests green.
- `G2` Adversarial gate: red-team pass rate meets threshold.
- `G3` Staged rollout gate: pilot SLOs hold.
- `G4` Promotion gate: rollback verified and audit complete.
7. Promote or block:
- Promote only when all gates pass.
- Otherwise output `QUARANTINE` or `DENY` with explicit blockers.
## Required Output Contract
Every substantial run must return:
- `files_changed`: exact paths
- `state_vector`: 21D + kernel overlays
- `decision_record`: action, reason, confidence, timestamp, signature
- `gate_report`: per-gate pass/fail with evidence
- `rollback_plan`: checkpoint reference and reversal steps
Also finish with tri-fold YAML:
```yaml
action_summary:
build:
status: completed|partial|blocked
artifacts: []
document:
status: completed|partial|blocked
artifacts: []
route:
status: completed|partial|blocked
next_hop: ""
```
## Resources
- Read `references/research-notes.md` for the external research baseline.
- Read `references/safe-integration-gates.yaml` for gate defaults.
- Use `scripts/evaluate_experiment_gate.py` for deterministic gate scoring.Related Skills
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