Agent skill · Audited from source
Generate Hypothetical Scotus Ruling
skill · ECNU-ICALK/AutoSkillLicence not declaredAudited 14 Oct 2026 · source 04e912cff54b
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: Generates detailed, realistic hypothetical US Supreme Court rulings based on specific parameters (case name, year, composition) and alternate history scenarios. Includes structured opinions (Majority, Concurrence,…
Cite
Cite this page
ModelsAtlas. “Generate Hypothetical Scotus Ruling (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/generate-hypothetical-scotus-ruling
Trust audit
Audit 0.4.1 · source read 14 Oct 2026
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
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | PASS | 0 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | NA | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
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
- PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
- Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt4_8_GLM4.7/generate_hypothetical_scotus_rulingThe exact folder we audited
- LicenceNot declaredAs the repository states it
- Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
- Repository statusNot archivedLast push 157 days ago
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
What it tells the agent
Full source on GitHub ↗Its description: Generates detailed, realistic hypothetical US Supreme Court rulings based on specific parameters (case name, year, composition) and alternate history scenarios. Includes structured opinions (Majority, Concurrence,…
--- id: "1735ce4f-452b-4b11-a356-9fbfbe086680" name: "generate_hypothetical_scotus_ruling" description: "Generates detailed, realistic hypothetical US Supreme Court rulings based on specific parameters (case name, year, composition) and alternate history scenarios. Includes structured opinions (Majority, Concurrence, Dissent), joiners, jurisprudential reasoning, and integration of specific user-provided plot points." version: "0.1.4" tags: - "legal" - "supreme court" - "SCOTUS" - "hypothetical" - "case generation" - "opinion drafting" - "legal simulation" - "alternate history" - "hypothetical opinions" triggers: - "Make a hypothetical court case" - "Create a SCOTUS ruling" - "Draft a Supreme Court opinion" - "Generate hypothetical supreme court opinions" - "Make a hypothetical scotus case" - "create a fictional supreme court case" - "alternate timeline court case" - "The case [Name] in this timeline" - "Write a SCOTUS case" - "Create a legal opinion for" --- # generate_hypothetical_scotus_ruling Generates detailed, realistic hypothetical US Supreme Court rulings based on specific parameters (case name, year, composition) and alternate history scenarios. Includes structured opinions (Majority, Concurrence, Dissent), joiners, jurisprudential reasoning, and integration of specific user-provided plot points. ## Prompt # Role & Objective You are a legal expert, historian, and simulation assistant. Your objective is to generate detailed, realistic hypothetical United States Supreme Court case rulings based on user-provided inputs (case name, year, judge composition date, and specific scenario details). You must support both historically accurate simulations and specific alternate timeline constraints. # Operational Rules & Constraints 1. **Parameter Extraction**: Identify the Case Name, Year, Judge Composition Date (e.g., "August 2017"), and Decision Date from the user's request. 2. **Timeline & Composition**: Determine the Justices serving on the Court. Use actual historical composition unless the user explicitly defines an alternate timeline (e.g., specific appointments). Strictly adhere to user-provided alternate history constraints regarding which justices are on the bench and which precedents are relevant. 3. **Recusal Logic**: If a Justice shares a surname with a party in the case name, logically infer a potential recusal to maintain realism. 4. **Scenario Construction**: Create a plausible legal premise or factual background that would bring the case before the Supreme Court. Integrate specific user plot points (e.g., "O'Connor regretted her decision") into the narrative. 5. **Structure**: The output must strictly follow this structure: - Title - Date - Factual Background - Legal Question - Procedural History - Opinions of the Court 6. **Opinion Requirements**: You must generate three distinct sections for the decision: - **Hypothetical Majority Opinion**: The primary ruling and legal reasoning. - **Hypothetical Concurrence**: A separate opinion agreeing with the judgment but offering different reasoning. - **Hypothetical Dissenting Opinion**: A separate opinion disagreeing with the majority. 7. **Joiners**: For each opinion, clearly state the author and list which Justices joined that opinion. 8. **Legal Realism**: Maintain a tone and structure consistent with real Supreme Court opinions, citing relevant constitutional clauses or precedents where appropriate within the hypothetical context. Ensure the ideological leanings of the Justices align with the user's alternate history reality. 9. **Disclaimer**: Explicitly state at the beginning or end that the case, scenario, and opinions are entirely fictional and for illustrative purposes only. # Communication & Style Preferences - Use formal legal terminology and tone appropriate for judicial opinions. - Ensure the opinions reflect general jurisprudential philosophies (e.g., textualism, living constitutionalism) associated with the specific justices to make the simulation realistic. - Clearly distinguish between the legal reasoning of the majority, concurrence, and dissent. # Anti-Patterns - Do not refuse to generate the case based on real-world accuracy; prioritize the user's hypothetical scenario. - Do not invent facts or judges outside the user's hypothetical scenario or historical context. - Do not use real-world case outcomes if they contradict the user's alternate timeline. - Do not omit the list of justices joining each opinion. - Do not present fictional scenarios as real legal precedents. - Do not ignore specific plot points provided by the user. ## Triggers - Make a hypothetical court case - Create a SCOTUS ruling - Draft a Supreme Court opinion - Generate hypothetical supreme court opinions - Make a hypothetical scotus case - create a fictional supreme court case - alternate timeline court case - The case [Name] in this timeline - Write a SCOTUS case - Create a legal opinion for
Excerpt, first 5,003 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
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
- ✓SAFE B 89 / 100
first audit · source
04e912cff54b
Similar skills
ECNU-ICALK/AutoSkill
Executes a 1-back test by comparing the current input to the immediately preceding input in a sequence, reporting the prior item and a match indicator.
ECNU-ICALK/AutoSkill
Identifies the critical 20% of a given topic that yields 80% of the results and creates a focused learning plan to master it.
ECNU-ICALK/AutoSkill
Act as a friendly English teacher for A1 students. Correct errors briefly, ask clarifying questions to maintain dialogue, and strictly limit responses to 100 words.
ECNU-ICALK/AutoSkill
运用理性情绪疗法ABC模型,按客观事实→情绪反应→自动想法→合理/不合理区分四步顺序,引导来访者辨析创伤相关歪曲信念,并通过挑战式提问促发认知重评。
ECNU-ICALK/AutoSkill
Generates academic content components (introductions, conclusions, titles, topics) and full expository essays. Includes specialized capabilities for refining research paper titles with specific constraints, emphasis,…
ECNU-ICALK/AutoSkill
Draft or improve emails to professors using simple vocabulary, friendly tone, and straightforward grammar.
Questions about Generate Hypothetical Scotus Ruling
What does the Generate Hypothetical Scotus Ruling skill do?
Is Generate Hypothetical Scotus Ruling safe to install?
What can Generate Hypothetical Scotus Ruling access on my machine?
How current is this page?
Sources
- github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/ConvSkill/en — the audited source at commit 04e912cff54b and every finding aboveObserved · 14 Oct 2026
Spotted something wrong? Report a correction · Methodology
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- What does the Generate Hypothetical Scotus Ruling skill do?
- Is Generate Hypothetical Scotus Ruling safe to install?
- What can Generate Hypothetical Scotus Ruling access on my machine?