argument-evaluation

Solid

Systematic evaluation of arguments for structure, validity, soundness, and charitable interpretation. Covers premise identification, conclusion extraction, argument mapping, steel-manning, and the distinction between validity (form) and soundness (form plus true premises). Use when assessing an argument, reconstructing an opponent's position fairly, or preparing a rebuttal.

AI & Automation 69 stars 9 forks Updated 1 weeks ago NOASSERTION

Install

View on GitHub

Quality Score: 79/100

Stars 20%
61
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Argument Evaluation An argument is a set of statements in which some (the premises) are offered as reasons for believing another (the conclusion). Critical thinkers evaluate arguments by reconstructing them, testing their logical form, checking the truth of the premises, and engaging with the strongest version of the opposing case. This skill provides a systematic procedure for doing all four. **Agent affinity:** paul (overall framing, elements of reasoning), elder (structural reconstruction) **Concept IDs:** crit-argument-structure, crit-deductive-reasoning, crit-inductive-reasoning, crit-charitable-interpretation ## The Evaluation Toolbox at a Glance | # | Operation | Purpose | Key signal | |---|---|---|---| | 1 | Premise extraction | Pull claims that support the conclusion | "Because," "since," "given that" | | 2 | Conclusion extraction | Identify what is being argued for | "Therefore," "so," "thus," "hence" | | 3 | Argument mapping | Show dependency structure | Some premises support sub-conclusions | | 4 | Reconstruction | Restate in standard form | Numbered premises, explicit conclusion | | 5 | Validity check | Does conclusion follow if premises are true? | Counterexample to form | | 6 | Soundness check | Are the premises actually true? | Independent fact check | | 7 | Strength check | For inductive arguments, how probable is the conclusion? | Sample quality, base rates | | 8 | Steel-manning | Reconstruct the strongest version | Add missing support the author coul...

Details

Author
Tibsfox
Repository
Tibsfox/gsd-skill-creator
Created
5 months ago
Last Updated
1 weeks ago
Language
TypeScript
License
NOASSERTION

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Solid

evidence-assessment

Evaluating the quality, provenance, and relevance of evidence that supports or undermines a claim. Covers source credibility, sampling quality, study design, levels of evidence (anecdote to meta-analysis), base rate integration, distinguishing primary from secondary sources, and calibrating belief to evidence strength. Use when the question is not whether an argument is valid but whether its premises are actually supported by the available data.

69 Updated 1 weeks ago
Tibsfox
AI & Automation Solid

argumentation

Construct well-structured arguments using the hypothesis-argument-example triad. Covers formulating falsifiable hypotheses, building logical arguments (deductive, inductive, analogical, evidential), providing concrete examples, and steelmanning counterarguments. Use when writing or reviewing PR descriptions that propose technical changes, justifying design decisions in ADRs, constructing substantive code review feedback, or building a research argument or technical proposal.

26 Updated today
pjt222
AI & Automation Solid

logical-reasoning

Deductive and inductive reasoning, formal and informal logical structure, validity, soundness, and rules of inference. Covers propositional logic, quantified reasoning, syllogisms, common inference patterns (modus ponens, modus tollens, hypothetical syllogism, disjunctive syllogism), and the distinction between deductive certainty and inductive probability. Use when the question is not whether a premise is true but whether the reasoning from premises to conclusion is logically valid.

69 Updated 1 weeks ago
Tibsfox