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LATTICE — Terminal-Boundary Reasoning Engine
v1.0.0Physics-derived reasoning engine for AI models. Replaces RLHF default behavior with self-governing reasoning grounded in finite-witness physics. 36 named bia...
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byShadow Rose@theshadowrose
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
Capability signals
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
OpenClaw
Suspicious
high confidencePurpose & Capability
The skill is an instruction-only document intended to change how a model reasons (replace/augment RLHF behavior). The required artifacts (the large LATTICE document and an exact first-message) align with that stated purpose — no unrelated binaries, credentials, or installs are requested. This is internally coherent as a design for a model-facing reasoning template.
Instruction Scope
The SKILL.md and references explicitly instruct a precise, minimal first-message and loading procedure specifically to avoid guardrails and 'academic engagement'. It tells users to avoid mentioning RLHF/alignment and to not upload other documents, and claims many other approaches 'failed'. Those directions are effectively a recipe to alter the model's default safety/interpretation behavior and to evade the model's normal refusal/analysis heuristics. That is scope creep from a benign 'improve reasoning' document into instructions for bypassing internal safety behavior.
Install Mechanism
No install spec and no code files that execute were included — this is instruction-only. That minimizes filesystem and network risk because nothing is downloaded or installed by the platform.
Credentials
The skill requests no environment variables, no credentials, and no config paths. From an exfiltration/credential perspective it is proportionate to the stated purpose. There are no declared secrets or external endpoints.
Persistence & Privilege
The skill does not request always:true or any persistent system-level privileges. However, its operational goal is to become the session's 'default reasoning engine'—that is, to alter session behavior while loaded. Autonomous invocation is allowed by default (not unusual), so the main privilege concern is behavioral (session-level override of guardrails) rather than installation persistence.
What to consider before installing
This is a large, self-contained document meant to be uploaded to a model to change how the model reasons; it does not ask for credentials or install code, which limits some risks, but it explicitly advises a precise, minimal-loading message to avoid model guardrails. Treat that as a red flag: only use in a controlled/sandboxed environment (not on models handling sensitive data or safety-critical tasks). If you consider using it, first: (1) audit the full document offline to understand the mechanical checks it enforces, (2) test in a non-production sandbox and monitor outputs closely, and (3) avoid running it where regulatory/compliance or safety constraints rely on the model's built-in guardrails. If you need a stronger recommendation, provide the target model and use-case so I can assess how the loading instructions interact with that model's safety features.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.