By eranshir
Engage in structured dialectical debates with an AI sparring partner to challenge and validate your code claims, decisions, strategies, and documents. Receive rigorous counterarguments and track objective feedback via scorecards for stress-testing ideas and improving reasoning in development workflows.
npx claudepluginhub eranshir/challenger --plugin challengerA truth-seeking sparring partner for Claude Code.
Challenger stress-tests your ideas before reality does. Give it a thesis, decision, or strategy — it will decompose it into testable claims, argue the strongest opposing position it can construct, then drop the act and tell you what it actually thinks.
Most AI assistants are agreeable by default. Challenger is not. It will:
Challenger produces two files per session:
challenger-session-YYYYMMDD-HHmmss.md — Scorecard tracking all claims, verdicts, confidence levels, evolution log, and assumption chainschallenger-prediction-YYYYMMDD-<topic>.md — Prediction document with falsifiable predictions, review schedule, and "what needs to be right" summaryIn Claude Code, run:
/plugin marketplace add eranshir/challenger
/plugin install challenger@challenger
The skill activates automatically when you present something to challenge. You can also invoke it directly:
/challenger
Then present your thesis, decision, or document.
Challenger follows a structured protocol:
Intake → Decompose into claims → Create scorecard
↓
For each claim:
Steelman opposition → Dialogue → Research (if needed) → Reveal → Verdict → Assumption chain
↓
Final output: Updated scorecard + Prediction document
| Tool | What It Does |
|---|---|
| Deduction | Checks if conclusions follow from premises |
| Induction | Tests sample size, looks for counterexamples |
| Abduction | Asks if a better explanation exists |
| Base rate analysis | Checks priors before accepting vivid examples |
| Survivorship bias | Looks for the failures you're not seeing |
| Inversion | Asks "what would guarantee this fails?" |
| Pre-mortem | "It's a year from now and this failed. What went wrong?" |
| Second-order effects | "This solves the problem, but what does it cause?" |
| Historical analogies | Finds similar situations and checks where the analogy breaks |
| Incentive analysis | Maps who benefits, who loses, and how that shapes behavior |
| Behavioral psychology | Flags anchoring, confirmation bias, sunk cost, status quo bias |
MIT
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