construct-argument-map
SkillFiles & storageLets 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.
No other account needed.
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.
- You MUST load skill
atomize-claimto split compound claims into atomic propositions. - You MUST load skill
surface-assumptionsto register explicit and implicit load-bearing assumptions. - You MUST load skill
attach-evidence-to-relationto link source records to typed relations with directness, independence, consistency, and alternative interpretations. - You MUST load skill
document-counterclaimto add credible counterclaims with their basis, scope, implications, and possible rebuttals. - You MUST load skill
score-objectto score each typed object against the supplied rubric without inventing missing evidence. - You MUST load skill
construct-critiqueto attack the assembled argument and rank its strongest weakness. - You MUST load skill
detect-contradictionto compare opposing claims under shared scope and record the evidence needed to adjudicate them. If the argument requires a balanced attack-defense exchange, consideradversarial-deliberation. If its apparent simplicity may hide unsupported relabeling, consideraudit-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
| source | criterion | treatment |
|---|---|---|
| resolved v3 entries above | node-specific criteria | retained and specialized to the v4 object contract |
| experiment-execution/statistical-testing | $\alpha$ = 0.05 | fixed value retained where applicable |
| experiment-execution/sample-size-estimation | power = 0.8 | fixed 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
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- Key
construct-argument-map- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine