abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
@yogsoth-aiInstall SkillAutomation
Skill
/enumerate-failure-modes
Convert functions/process steps/scenarios into explicit failure modes.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-failure-modes --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-failure-modes -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-failure-modes -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-failure-modes -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-failure-modes -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-failure-modes -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-failure-modes -a windsurf -y
SKILL.md
enumerate-failure-modes.SKILL.mdname: enumerate-failure-modes description: "Convert functions/process steps/scenarios into explicit failure modes."
enumerate-failure-modes
Purpose
Convert functions, process steps, or scenarios into explicit failure modes.
Input contract
required: [functions_or_steps, intended_outcomes, operating_conditions] optional: [failure_history, stakeholders] constraints: [failure mode must state deviation from intended outcome]
Procedure
1. Decompose functions or steps. 2. Enumerate plausible deviations and affected outcomes. 3. Record causes, effects, detectability, and evidence gaps.
Output contract
produces: [failure_mode_register, cause_candidates, effect_candidates, detection_notes] delta_fields: [findings, evidence_updates, uncertainties, open_questions]
Quality gates
- Each mode has a function/step, deviation, effect, and provenance.
Failure and counterexamples
Do not list generic risks without a specific function or operating condition.
Provenance map
- resolved: failure-mode-extraction
Ships withde-anthropocentric-research-engine
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
512200 skills
Stars on GitHub
Momentum
- stars in total
- 512
Other skills on de-anthropocentric-research-engine.
@yogsoth-aiInstall Skilladjudicate-exchange
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
@yogsoth-aiInstall Skilladjust-abstraction-sco…
Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context,…
@yogsoth-aiInstall Skilladversarial-deliberati…
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target,…
@yogsoth-aiInstall Skillaggregate-ranking
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
@yogsoth-aiInstall Skillanalogical-discovery
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.
@yogsoth-aiInstall SkillMore skills from other plugins.
browser-use
Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also covers…
@browser-useInstall Skillagent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling…
@vercel-labs-2Install Skill
Questions about enumerate-failure-modes.
- Which coding agents can use enumerate-failure-modes?
- enumerate-failure-modes installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.