Agent skill

Analyze Future Scenarios

by yogsoth-ai in yogsoth-ai/de-anthropocentric-research-engine

Construct and compare plausible future/competitive/temporal/stress scenarios and test whether the research path remains robust across them.

Apache-2.0Auto-check passed

Install Analyze Future Scenarios

skills CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-future-scenarios -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine analyze-future-scenarios --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analyze-future-scenarios .claude/skills/analyze-future-scenarios && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
analyze-future-scenarios
GitHub stars
505
Token cost
~853 tokens
SKILL.md length
319 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
Apache-2.0

At a glance

Construct and compare plausible future/competitive/temporal/stress scenarios and test whether the research path remains robust across them.

  • Works in 8 steps: You MUST load skill… → You MUST load skill… → You MUST load skill… → …
  • SKILL.md covers Purpose, Input contract, Execution protocol and Output contract, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Analyze Future Scenarios is an agent skill from yogsoth-ai/de-anthropocentric-research-engine. Construct and compare plausible future/competitive/temporal/stress scenarios and test whether the research path remains robust across them.

Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: A 267-skill research graph in pure markdown — 51 research operations built from 216 single-purpose steps, composed in any order with explicit backtracking. One npx install, no… The licence is Apache-2.0.

Example prompts

  • “/analyze-future-scenarios”

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. You MUST load skill identify-scenario-drivers to rank the horizon's high-impact uncertainties.
  2. You MUST load skill enumerate-dimension-values to enumerate representative, boundary, and adversarial driver values.
  3. You MUST load skill evaluate-compatibility to prune incompatible combinations while retaining near-boundary cases.
  4. You MUST load skill construct-scenario to assemble distinct baseline, counterfactual, and extreme-but-plausible worlds.
  5. You MUST load skill evaluate-scenario-impact to score the research path inside each fixed world and record failure triggers.
  6. You MUST load skill evaluate-scenario-robustness to aggregate per-world results and expose fragile assumptions.
  7. You MUST load skill predict-competitive-move to forecast credible competitor moves and preemption risk.
  8. You MUST load skill analyze-temporal-trajectory to order outcomes through time and reveal regime changes.

What it can do on your machine

Read from SKILL.md and the folder at commit bdb3524. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Analyze Future Scenarios loads about 853 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 319 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~853

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from yogsoth-ai/de-anthropocentric-research-engine at commit bdb3524, republished under its Apache-2.0 licence (© yogsoth-ai). 319 words, ~853 tokens.

Download SKILL.mdSave it as .claude/skills/analyze-future-scenarios/SKILL.md (or your agent's skills folder).
name
analyze-future-scenarios
description
Construct and compare plausible future/competitive/temporal/stress scenarios and test whether the research path remains robust across them.

analyze-future-scenarios

Purpose

Construct and compare plausible future/competitive/temporal/stress scenarios and test whether the research path remains robust across them.

Input contract

yaml
required: [research_path, scenario_axes, uncertainty_drivers]
optional: [assumptions, prior_findings, evidence_updates]
constraints: [consume named scientific objects; preserve provenance; keep unresolved uncertainty visible]

Execution protocol

Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.

  1. You MUST load skill identify-scenario-drivers to rank the horizon's high-impact uncertainties.
  2. You MUST load skill enumerate-dimension-values to enumerate representative, boundary, and adversarial driver values.
  3. You MUST load skill evaluate-compatibility to prune incompatible combinations while retaining near-boundary cases.
  4. You MUST load skill construct-scenario to assemble distinct baseline, counterfactual, and extreme-but-plausible worlds.
  5. You MUST load skill evaluate-scenario-impact to score the research path inside each fixed world and record failure triggers.
  6. You MUST load skill evaluate-scenario-robustness to aggregate per-world results and expose fragile assumptions.
  7. You MUST load skill predict-competitive-move to forecast credible competitor moves and preemption risk.
  8. You MUST load skill analyze-temporal-trajectory to order outcomes through time and reveal regime changes.

Deviation: reorder only when a dependency is already satisfied or unavailable; record the reason and confidence effect.

Output contract

yaml
produces: [scenario_set, impact_comparison, robustness_assessment]
delta_fields: [findings, decisions]

Thresholds and quality gates

  • Each output is traceable to an input object, operation, and evidence reference.
  • Scope, assumptions, and unresolved alternatives remain explicit.
  • Retain $\alpha$ 0.05 and power 0.8 wherever the predeclared statistical design requires them.

Failure and counterexamples

Stop synthesis when a required object is absent, a precondition is violated, or a counterexample invalidates the proposed conclusion; return the partial delta with the failure recorded.

Provenance map

  • intermediate: experiment-execution/scenario-planning [campaign]
  • resolved: morphological-scenario
  • resolved: narrative-scenario
  • resolved: stress-scenario
  • resolved: competitive-scenario
  • resolved: temporal-scenario
  • resolved: parameter-space-construction
  • resolved: cross-consistency-filtering
  • resolved: strategy-robustness-testing

Preserved source criteria ledger

sourcecriteriontreatment
resolved v3 entries abovenode-specific criteriaretained and specialized to the v4 object contract
experiment-execution/statistical-testing$\alpha$ = 0.05fixed value retained where applicable
experiment-execution/sample-size-estimationpower = 0.8fixed value retained where applicable

Context checkpoint / Delta notes

Return the node-specific research-state delta and preserve findings, evidence updates, uncertainties, decisions, open questions, and recommended jumps as applicable.

© yogsoth-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/analyze-future-scenarios of yogsoth-ai/de-anthropocentric-research-engine.

Open the folder on GitHubat commit bdb3524

Compare with similar skills

Analyze Future Scenarios next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Analyze Future Scenarios compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analyze Future Scenarios this skillyogsoth-ai/de-anthropocentric-research-engine505—~853Automated safety check: PassApache-2.0
Competitive Battlecardphuryn/pm-skills27k—~721Automated safety check: PassMIT
Competitive Platform Analysisaffaan-m/ECC277k1 repos~3kAutomated safety check: PassMIT
Competitive Report Structureaffaan-m/ECC277k1 repos~2.1kAutomated safety check: PassMIT
Stress Testalirezarezvani/claude-skills28k1 repos~2kAutomated safety check: PassMIT
Retro Futurismsickn33/agentic-awesome-skills47k1 repos~2.3kAutomated safety check: PassMIT

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  • Evaluate Scenario Robustness

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  • Adjust Abstraction Scope

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  • Adversarial Deliberation

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Questions about Analyze Future Scenarios

What does Analyze Future Scenarios do?

Construct and compare plausible future/competitive/temporal/stress scenarios and test whether the research path remains robust across them. Analyze Future Scenarios is an agent skill from yogsoth-ai/de-anthropocentric-research-engine. Construct and compare plausible future/competitive/temporal/stress scenarios and test whether the research path remains robust across them.

How do I install Analyze Future Scenarios in Claude Code?

Run `npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-future-scenarios -a claude-code`. Or copy the skill folder (skills/analyze-future-scenarios in yogsoth-ai/de-anthropocentric-research-engine) into .claude/skills/analyze-future-scenarios in your project. Claude Code loads it when a task matches its description.

How do I install Analyze Future Scenarios in Codex?

Run `npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-future-scenarios -a codex`. Or copy the skill folder (skills/analyze-future-scenarios in yogsoth-ai/de-anthropocentric-research-engine) into .agents/skills/analyze-future-scenarios in your project. Codex loads it when a task matches its description.

Can I use Analyze Future Scenarios in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-future-scenarios -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyze-future-scenarios, .gemini/skills/analyze-future-scenarios, .github/skills/analyze-future-scenarios and .opencode/skills/analyze-future-scenarios in your project.

What does Analyze Future Scenarios need to run?

SKILL.md names no scripts, command-line tools or credentials: Analyze Future Scenarios is instructions for the agent only.

Does Analyze Future Scenarios access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Analyze Future Scenarios safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Analyze Future Scenarios use?

Analyze Future Scenarios is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Analyze Future Scenarios use?

About 853 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Analyze Future Scenarios?

Skills that share tags, products or a category with Analyze Future Scenarios: Competitive Battlecard (phuryn/pm-skills, 27k stars), Competitive Platform Analysis (affaan-m/ECC, 277k stars), Competitive Report Structure (affaan-m/ECC, 277k stars) and Stress Test (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyze Future Scenarios?

yogsoth-ai (a GitHub organization) maintains it in yogsoth-ai/de-anthropocentric-research-engine, which has 505 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 29, 2026.

Source: yogsoth-ai/de-anthropocentric-research-engine on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.