Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsBlogPro
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges
  • Chrome Extension
  • Skill Manager

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Construct Scenario

ASecurity

Construct a scenario across key uncertainties with explicit assumptions and plausibility. Modes include baseline/narrative, counterfactual, and extreme-but-plausible worst-case with breaking point, failure cascade, recovery assumptions, and distinguishing observables.

499 stars
0 votes
0 copies
0 views
Added 9/24/2026
research

Security Analysis

A100/100

Scanned 9/24/2026

$npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill construct-scenario --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Construct Scenario?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Construct Scenario
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/yogsoth-ai-construct-scenario/badge)](https://www.skillsdirectory.com/skills/yogsoth-ai-construct-scenario)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
Files
SKILL.md
---
name: construct-scenario
description: "Construct a scenario across key uncertainties with explicit assumptions and plausibility. Modes include baseline/narrative, counterfactual, and extreme-but-plausible worst-case with breaking point, failure cascade, recovery assumptions, and distinguishing observables."
---

# construct-scenario

## Purpose
Construct scenarios across key uncertainties with explicit assumptions and plausibility, including baseline, counterfactual, and extreme-but-plausible modes.

## Input contract
```yaml
required: [context, uncertainty_set, scenario_mode]
optional: [drivers, dependency_model, probability_method, recovery_assumptions]
constraints: [scenario assumptions and distinguishing observables must be explicit]
```

## Procedure
1. Select uncertainty axes and record their state space.
2. Generate distinct combinations appropriate to the mode.
3. Propagate interactions, breaking points, failure cascades, and recovery assumptions where applicable.
4. Attach plausibility rationale, distinguishing observables, and outcome implications.

## Output contract
```yaml
produces: [scenario_set, assumptions, plausibility_rationales, observables, outcome_implications]
delta_fields: [findings, hypothesis_updates, uncertainties, open_questions]
```

## Quality gates
- At least 3 scenarios span different combinations of key uncertainties.
- Scenarios are internally consistent and materially distinct.
- Worst-case mode includes breaking point, cascade, recovery, and observables.

## Parameterization
Caller supplies context schema, uncertainty axes, mode, distinctness rule, plausibility/probability method, and worst-case fields.

## Failure and counterexamples
Reject decorative narratives that do not vary an uncertainty or expose a testable implication.

## Provenance map
- resolved: scenario-construction
- resolved: counterfactual-scenario-construction
- resolved: worst-case-construction
- resolved: stress-scenario

## Preserved source criteria ledger

| source | criterion |
|---|---|
| scenario-construction | Output contains at least 3 distinct scenarios spanning different combinations of key uncertainties. |
| scenario-construction | Each scenario includes a narrative, key assumptions, and probability estimate. |
| worst-case-construction | Extreme-but-plausible mode includes breaking points, failure cascades, and recovery assessment. |

Attribution

yogsoth-aiyogsoth-ai
View sourceSee grades on GitHubMore from yogsoth-ai →
SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Related Skills

Competitor Analysis

This skill provides comprehensive analysis of competitor SEO and GEO strategies, revealing what's working in your market and identifying opportunities to outperform the competition.

1823 votes

Deep Research

Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 8 modes: full research, quick brief, paper review, lit-review, fact-check, three-way literature scan, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report co...

502942 votes

Paperclip Distill

Use when an operation issue is a Paperclip cursor-window, distill, or backfill — `operationType: "distill"` or `"backfill"` and the body references a Paperclip source bundle for a project or root issue. Turn raw Paperclip activity into a wiki-insightful project page, decisions log, and history note. This skill exists specifically to replace the stiff, datestamp-heavy templated output that the deterministic distiller produces.

953191 votes

Academic Pipeline

Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory, coverage-bounded integrity checks, two-stage peer review, and auditable quality-assurance artifacts. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end p...

502941 votes

Literature Review

Assistance with writing literature reviews by searching for academic sources via Semantic Scholar, OpenAlex, Crossref and PubMed APIs. Use when the user needs to find papers on a topic, get details for specific DOIs, or draft sections of a literature review with proper citations.

6511 votes
View all in research →