construct-argument-map

SkillFiles & storage

Lets your agent break claims into premises and counterclaims, attach evidence, and build an inspectable argument map.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the construct-argument-map skill

About this skill

Atomize claims, expose premises and counterclaims, attach evidence/defeaters, score claim strength, and construct an inspectable argument graph independent of storage format.

What this skill tells your AI

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

Purpose

Atomize claims, expose premises and counterclaims, attach evidence/defeaters, score claim strength, and construct an inspectable argument graph independent of storage format.

Input contract

required: [claim_records, premise_records, evidence_records]
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 atomize-claim to split compound claims into atomic propositions.
  2. You MUST load skill surface-assumptions to register explicit and implicit load-bearing assumptions.
  3. You MUST load skill attach-evidence-to-relation to link source records to typed relations with directness, independence, consistency, and alternative interpretations.
  4. You MUST load skill document-counterclaim to add credible counterclaims with their basis, scope, implications, and possible rebuttals.
  5. You MUST load skill score-object to score each typed object against the supplied rubric without inventing missing evidence.
  6. You MUST load skill construct-critique to attack the assembled argument and rank its strongest weakness.
  7. You MUST load skill detect-contradiction to compare opposing claims under shared scope and record the evidence needed to adjudicate them. If the argument requires a balanced attack-defense exchange, consider adversarial-deliberation. If its apparent simplicity may hide unsupported relabeling, consider audit-explanatory-compression.

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

Output contract

produces: [argument_graph, evidence_links, counterclaims, strength_assessment]
delta_fields: [evidence_updates]

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: knowledge-structuring/argument-mapping [campaign]
  • resolved: claim-extraction
  • intermediate: premise-identification [strategy]
  • intermediate: counterargument-mapping [strategy]
  • resolved: evidence-linking-arg
  • resolved: argument-synthesis
  • intermediate: claim-decomposition [tactic]
  • resolved: strength-assessment

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.

Signals

GitHub stars
501
Forks
41
Last commit
Sep 2026
Advanced
Catalog kind
skill
Key
construct-argument-map
Source
github.com/yogsoth-ai/de-anthropocentric-research-engine