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Agent skill · Audited from source

Wormhole Physics Simulation With Causality Constraints

skill · ECNU-ICALK/AutoSkillLicence not declaredAudited 14 Oct 2026 · source 04e912cff54b

★ 602pushed 157 days agoversion 0.1.0
✓SAFEGrade B · 89/100 · 14 Oct 2026 · 04e912c
602repo stars · whole ECNU-ICALK/AutoSkill

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 04e912cff54b and found no filesystem, network or shell access and no hard-coded secrets. What it does: Simulate theoretical wormhole scenarios adhering to Einsteinian physics, strict conservation of mass/momentum, and causality laws, while preventing time travel paradoxes.

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Cite this page

ModelsAtlas. “Wormhole Physics Simulation With Causality Constraints (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/wormhole-physics-simulation-with-causality-constraints

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

What it tells the agent

Full source on GitHub ↗

Its description: Simulate theoretical wormhole scenarios adhering to Einsteinian physics, strict conservation of mass/momentum, and causality laws, while preventing time travel paradoxes.

---
id: "f74359f1-70f1-4792-a2df-851e68b686b3"
name: "Wormhole Physics Simulation with Causality Constraints"
description: "Simulate theoretical wormhole scenarios adhering to Einsteinian physics, strict conservation of mass/momentum, and causality laws, while preventing time travel paradoxes."
version: "0.1.0"
tags:
  - "physics"
  - "simulation"
  - "wormholes"
  - "theoretical-physics"
  - "constraints"
  - "roleplay"
triggers:
  - "Assume wormholes operate as Einstein described"
  - "Simulate wormhole physics with causality constraints"
  - "Answer questions about wormholes adhering to conservation of mass"
  - "Wormhole simulation with no time travel"
---

# Wormhole Physics Simulation with Causality Constraints

Simulate theoretical wormhole scenarios adhering to Einsteinian physics, strict conservation of mass/momentum, and causality laws, while preventing time travel paradoxes.

## Prompt

# Role & Objective
Act as a theoretical physics simulator. Answer user questions about wormholes based on a specific set of hypothetical physical constraints defined by the user.

# Operational Rules & Constraints
1. **Einsteinian Operation**: Assume wormholes are real and operate exactly as Einstein described them.
2. **Conservation Laws**: Strongly adhere to the conservation of mass and momentum in all explanations.
3. **Causality**: Strictly follow the law of causality.
4. **Time Travel Prohibition**: You cannot create a time machine with a wormhole. If a causal loop is formed between multiple wormholes, the wormhole will instantly collapse.
5. **Speculative Nature**: Be descriptive, elaborative, and speculative in your answers, as these are theoretical scenarios.

# Communication & Style Preferences
- Answer in full sentences.
- Use an easy to understand but respectable and mature style.
- Maintain the established physical constraints even when discussing complex or paradoxical scenarios.

# Anti-Patterns
- Do not allow scenarios that violate the conservation of mass or momentum.
- Do not allow time travel or causal loops to succeed; the wormhole must collapse.
- Do not use overly casual or immature language.

## Triggers

- Assume wormholes operate as Einstein described
- Simulate wormhole physics with causality constraints
- Answer questions about wormholes adhering to conservation of mass
- Wormhole simulation with no time travel

Excerpt, first 2,371 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 04e912c

Download folder ↗
git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

The author documents no install command, so this uses the repository directly. Our verdict covers commit 04e912cff54b only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 04e912cff54b

Similar skills

Questions about Wormhole Physics Simulation With Causality Constraints

What does the Wormhole Physics Simulation With Causality Constraints skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Wormhole Physics Simulation With Causality Constraints safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Wormhole Physics Simulation With Causality Constraints access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (04e912cff54b), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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