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Agent skill
Evaluate Scenario Robustness
by yogsoth-ai in yogsoth-ai/de-anthropocentric-research-engine
Aggregate a candidate, strategy, or portfolio across explicit scenarios under a declared robust-decision rule such as worst-case score, minimax regret, maximin, threshold survival, or pivot-trigger…
Apache-2.0Auto-check passed
Install Evaluate Scenario Robustness
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-robustness -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine evaluate-scenario-robustness --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-robustness .claude/skills/evaluate-scenario-robustness && rm -rf skills-srcUse ~/.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/
Install the "evaluate-scenario-robustness" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/evaluate-scenario-robustness into .claude/skills/evaluate-scenario-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluate-scenario-robustness", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/evaluate-scenario-robustnessType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-robustness -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine evaluate-scenario-robustness --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/evaluate-scenario-robustness .agents/skills/evaluate-scenario-robustness && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "evaluate-scenario-robustness" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/evaluate-scenario-robustness into .agents/skills/evaluate-scenario-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluate-scenario-robustness", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-robustness -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine evaluate-scenario-robustness --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/evaluate-scenario-robustness .cursor/skills/evaluate-scenario-robustness && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "evaluate-scenario-robustness" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/evaluate-scenario-robustness into .cursor/skills/evaluate-scenario-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluate-scenario-robustness", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git --path skills/evaluate-scenario-robustness--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-robustness -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine evaluate-scenario-robustness --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/evaluate-scenario-robustness .gemini/skills/evaluate-scenario-robustness && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "evaluate-scenario-robustness" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/evaluate-scenario-robustness into .gemini/skills/evaluate-scenario-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluate-scenario-robustness", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine evaluate-scenario-robustnessInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-robustness -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/evaluate-scenario-robustness .github/skills/evaluate-scenario-robustness && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "evaluate-scenario-robustness" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/evaluate-scenario-robustness into .github/skills/evaluate-scenario-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluate-scenario-robustness", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-robustness -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine evaluate-scenario-robustness --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/evaluate-scenario-robustness .opencode/skills/evaluate-scenario-robustness && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "evaluate-scenario-robustness" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/evaluate-scenario-robustness into .opencode/skills/evaluate-scenario-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluate-scenario-robustness", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
evaluate-scenario-robustness- GitHub stars
- 504
- Token cost
- ~478 tokens
- SKILL.md length
- 131 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Aggregate a candidate, strategy, or portfolio across explicit scenarios under a declared robust-decision rule such as worst-case score, minimax regret, maximin, threshold survival, or pivot-trigger…
- Works in 4 steps: Verify scenario comparability and… → Apply the supplied rule: worst-case,… → Expose scenario-specific failures 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 Robustness is an agent skill from yogsoth-ai/de-anthropocentric-research-engine. Aggregate a candidate, strategy, or portfolio across explicit scenarios under a declared robust-decision rule such as worst-case score, minimax regret, maximin, threshold survival, or pivot-trigger analysis.
Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with MiniMax. 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-robustness”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Verify scenario comparability and criterion direction.
- Apply the supplied rule: worst-case, minimax regret, maximin, survival, or pivot trigger.
- Expose scenario-specific failures and tradeoffs.
- Return ranking, rule sensitivity, and pivot conditions.
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 Robustness loads about 478 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 131 words of instructions outside code blocks.
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). 131 words, ~478 tokens.
Download SKILL.mdSave it as
.claude/skills/evaluate-scenario-robustness/SKILL.md (or your agent's skills folder).- name
- evaluate-scenario-robustness
- description
- Aggregate a candidate, strategy, or portfolio across explicit scenarios under a declared robust-decision rule such as worst-case score, minimax regret, maximin, threshold survival, or pivot-trigger analysis.
evaluate-scenario-robustness
Purpose
Aggregate candidate performance across explicit scenarios under a declared robust-decision rule.
Input contract
required: [candidate_set, scenario_set, criterion_results, robustness_rule]
optional: [regret_definition, survival_thresholds, pivot_triggers]
constraints: [scenario results use common criteria and direction]Procedure
- Verify scenario comparability and criterion direction.
- Apply the supplied rule: worst-case, minimax regret, maximin, survival, or pivot trigger.
- Expose scenario-specific failures and tradeoffs.
- Return ranking, rule sensitivity, and pivot conditions.
Output contract
produces: [robustness_assessment, robust_ranking, regret_or_worst_case, pivot_triggers]
delta_fields: [findings, decisions, uncertainties]Quality gates
- At least 3 distinct futures are evaluated when the scenario set is intended to span uncertainty.
- Rule is declared before aggregation and applied consistently.
- A candidate failing a survival threshold is not rescued by averaging.
Parameterization
Caller supplies scenario schema, criterion scales, aggregation rule, regret/survival definitions, and pivot policy.
Failure and counterexamples
Reject hidden scenario weighting, incomparable metrics, or robustness claims from a single future.
Provenance map
- concept: experiment-execution/robustness-scoring
- concept: experiment-execution/strategy-robustness-testing
- concept: convergence/portfolio-optimization/robustness-under-uncertainty
- intermediate: Pass8/score-scenario-robustness
- intermediate: Pass8/evaluate-regret-robustness
© 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-robustness of yogsoth-ai/de-anthropocentric-research-engine.
Open the folder on GitHubat commit bdb3524
Compare with similar skills
Evaluate Scenario Robustness 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Evaluate Scenario Robustness this skillyogsoth-ai/de-anthropocentric-research-engine | 504 | — | ~478 | Automated safety check: Pass | Apache-2.0 | |
| Minimax DOCXpoco-ai/poco-claw | 1.4k | 7 repos | ~3.9k | Automated safety check: Pass | MIT | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Minimax XLSXpoco-ai/poco-claw | 1.4k | 6 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Minimax PDFpoco-ai/poco-claw | 1.4k | 6 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Evals Contextzgsm-ai/costrict | 4.4k | 1 repos | ~1.9k | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Questions about Evaluate Scenario Robustness
What does Evaluate Scenario Robustness do?
Aggregate a candidate, strategy, or portfolio across explicit scenarios under a declared robust-decision rule such as worst-case score, minimax regret, maximin, threshold survival, or pivot-trigger…. Evaluate Scenario Robustness is an agent skill from yogsoth-ai/de-anthropocentric-research-engine. Aggregate a candidate, strategy, or portfolio across explicit scenarios under a declared robust-decision rule such as worst-case score, minimax regret, maximin, threshold survival, or pivot-trigger analysis.
How do I install Evaluate Scenario Robustness in Claude Code?
Run `npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-robustness -a claude-code`. Or copy the skill folder (skills/evaluate-scenario-robustness in yogsoth-ai/de-anthropocentric-research-engine) into .claude/skills/evaluate-scenario-robustness in your project. Claude Code loads it when a task matches its description.
How do I install Evaluate Scenario Robustness in Codex?
Run `npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-robustness -a codex`. Or copy the skill folder (skills/evaluate-scenario-robustness in yogsoth-ai/de-anthropocentric-research-engine) into .agents/skills/evaluate-scenario-robustness in your project. Codex loads it when a task matches its description.
Can I use Evaluate Scenario Robustness 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-robustness -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-robustness, .gemini/skills/evaluate-scenario-robustness, .github/skills/evaluate-scenario-robustness and .opencode/skills/evaluate-scenario-robustness in your project.
What does Evaluate Scenario Robustness need to run?
SKILL.md names no scripts, command-line tools or credentials: Evaluate Scenario Robustness is instructions for the agent only.
Does Evaluate Scenario Robustness 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 Robustness 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 Robustness use?
Evaluate Scenario Robustness 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 Robustness use?
About 478 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 Robustness?
Skills that share tags, products or a category with Evaluate Scenario Robustness: Minimax DOCX (poco-ai/poco-claw, 1.4k stars), AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Minimax XLSX (poco-ai/poco-claw, 1.4k stars) and Minimax PDF (poco-ai/poco-claw, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Evaluate Scenario Robustness?
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.