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Agent skill

Evaluate Scenario Impact

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

Evaluate a fixed candidate, research path, or portfolio under one explicit scenario using stable criteria and return impact, tradeoffs, and failure triggers.

Apache-2.0Auto-check passed

Install Evaluate Scenario Impact

skills CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-impact -a claude-code

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

GitHub CLI
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine evaluate-scenario-impact --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/evaluate-scenario-impact .claude/skills/evaluate-scenario-impact && 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
evaluate-scenario-impact
GitHub stars
504
Token cost
~465 tokens
SKILL.md length
138 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
Apache-2.0

At a glance

Evaluate a fixed candidate, research path, or portfolio under one explicit scenario using stable criteria and return impact, tradeoffs, and failure triggers.

  • Works in 4 steps: Instantiate the candidate under scenario… → Compute or qualitatively assess each… → Identify tradeoffs, vulnerabilities, and… → …
  • SKILL.md covers Purpose, Input contract, Procedure and Output contract, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Evaluate Scenario Impact is an agent skill from yogsoth-ai/de-anthropocentric-research-engine. Evaluate a fixed candidate, research path, or portfolio under one explicit scenario using stable criteria and return impact, tradeoffs, and failure triggers.

Its SKILL.md is about 470 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

  • “/evaluate-scenario-impact”

Workflow steps

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

  1. Instantiate the candidate under scenario assumptions.
  2. Compute or qualitatively assess each declared criterion.
  3. Identify tradeoffs, vulnerabilities, and failure triggers.
  4. Return impact evidence and unresolved uncertainties.

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

Evaluate Scenario Impact loads about 465 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 138 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~465

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). 138 words, ~465 tokens.

Download SKILL.mdSave it as .claude/skills/evaluate-scenario-impact/SKILL.md (or your agent's skills folder).
name
evaluate-scenario-impact
description
Evaluate a fixed candidate, research path, or portfolio under one explicit scenario using stable criteria and return impact, tradeoffs, and failure triggers.

evaluate-scenario-impact

Purpose

Evaluate one fixed candidate, path, or portfolio under one explicit scenario.

Input contract

yaml
required: [candidate, scenario, evaluation_criteria]
optional: [baseline, metric_definitions, vulnerability_rules]
constraints: [criteria, units, and scenario assumptions remain fixed during evaluation]

Procedure

  1. Instantiate the candidate under scenario assumptions.
  2. Compute or qualitatively assess each declared criterion.
  3. Identify tradeoffs, vulnerabilities, and failure triggers.
  4. Return impact evidence and unresolved uncertainties.

If the impact estimate depends on uncertain drivers or parameter choices, consider assess-sensitivity as the next tactic.

Output contract

yaml
produces: [impact_assessment, metric_results, tradeoffs, vulnerabilities, failure_triggers]
delta_fields: [findings, uncertainties, decisions]

Quality gates

  • All declared criteria are addressed with units or explicit qualitative scales.
  • Vulnerable or failing members are named, not hidden in aggregate scores.
  • Scenario assumptions and baseline are cited for every comparison.

Parameterization

Caller supplies candidate schema, scenario schema, criteria, metric formulas, baseline, and vulnerability thresholds.

Failure and counterexamples

Reject evaluations that change scenario assumptions midstream or report aggregate impact without member-level checks.

Provenance map

  • concept: convergence/portfolio-evaluation-per-scenario
  • concept: experiment-execution/scenario-impact-assessment
  • intermediate: Pass3/evaluate-scenario
  • intermediate: Pass3/assess-scenario-impact

© 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/evaluate-scenario-impact of yogsoth-ai/de-anthropocentric-research-engine.

Open the folder on GitHubat commit bdb3524

Compare with similar skills

Evaluate Scenario Impact 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.

Evaluate Scenario Impact compared with similar skills
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Evaluate Scenario Impact this skillyogsoth-ai/de-anthropocentric-research-engine504—~465Automated safety check: PassApache-2.0
Fixalirezarezvani/claude-skills28k1 repos~765Automated safety check: PassMIT
Arize Evaluatorgithub/awesome-copilot40k2 repos~8.1kAutomated safety check: NotesMIT
LLM Evaluationdavila7/claude-code-templates32k13 repos~3.5kAutomated safety check: PassMIT
Agent Evaluationsickn33/agentic-awesome-skills47k1 repos~2kAutomated safety check: PassMIT
Portfolioanthropics/claude-for-legal9.6k3 repos~5.3kAutomated safety check: PassApache-2.0

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Questions about Evaluate Scenario Impact

What does Evaluate Scenario Impact do?

Evaluate a fixed candidate, research path, or portfolio under one explicit scenario using stable criteria and return impact, tradeoffs, and failure triggers. Evaluate Scenario Impact is an agent skill from yogsoth-ai/de-anthropocentric-research-engine. Evaluate a fixed candidate, research path, or portfolio under one explicit scenario using stable criteria and return impact, tradeoffs, and failure triggers.

How do I install Evaluate Scenario Impact in Claude Code?

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

How do I install Evaluate Scenario Impact in Codex?

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

Can I use Evaluate Scenario Impact 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 evaluate-scenario-impact -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/evaluate-scenario-impact, .gemini/skills/evaluate-scenario-impact, .github/skills/evaluate-scenario-impact and .opencode/skills/evaluate-scenario-impact in your project.

What does Evaluate Scenario Impact need to run?

SKILL.md names no scripts, command-line tools or credentials: Evaluate Scenario Impact is instructions for the agent only.

Does Evaluate Scenario Impact 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 Evaluate Scenario Impact 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 Evaluate Scenario Impact use?

Evaluate Scenario Impact 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 Evaluate Scenario Impact use?

About 465 tokens (SKILL.md is roughly 1.9k 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 Evaluate Scenario Impact?

Skills that share tags, products or a category with Evaluate Scenario Impact: Fix (alirezarezvani/claude-skills, 28k stars), Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 32k stars) and Agent Evaluation (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Evaluate Scenario Impact?

yogsoth-ai (a GitHub organization) maintains it in yogsoth-ai/de-anthropocentric-research-engine, which has 504 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.