classify-assumption-vulnerability

SkillSecurity

Lets your agent rank assumptions by how critical they are and how likely they are to fail, flagging which need testing.

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Then ask your AI: use the classify-assumption-vulnerability skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

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classify-assumption-vulnerabilityStart free
About this skill

Classify assumptions by load-bearing importance and vulnerability.

What this skill tells your AI

The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/classify-assumption-vulnerability/SKILL.md and read by ahel’s review.

Purpose

Classify assumptions by load-bearing importance and vulnerability to determine which require stress testing.

Input contract

required: [assumption_register, dependent_claims]
optional: [evidence_strength, perturbation_bounds]
constraints: [importance and vulnerability must be scored or categorized separately]

Procedure

  1. Link each assumption to the claims or causal edges it supports.
  2. Assess consequence of failure and current evidential support.
  3. Assign vulnerability class and prioritize assumptions for challenge.

Output contract

produces: [vulnerability_map, load_bearing_rank, challenge_queue]
delta_fields: [findings, assumption_updates, uncertainties, decisions]

Quality gates

  • No assumption is ranked without a dependent claim and an evidence-status note.

Failure and counterexamples

Mark vulnerability unknown when consequence or support cannot be assessed; do not silently assign low risk.

Provenance map

  • deep-insight/abp-vulnerability-classification: resolved.

Signals

GitHub stars
503
Forks
42
Last commit
Sep 2026
Advanced
Item type
skill
Key
classify-assumption-vulnerability
Source
github.com/yogsoth-ai/de-anthropocentric-research-engine