About game-security-research-rigor
A research skill for game-security analysis that keeps claims proportional to evidence and records uncertainty, scope, and possible falsifiers. It helps researchers distinguish observed evidence from findings, attribution, and proposed action.
Key features
- 01Routes claims, evaluation, evidence, robustness, and skill tests
- 02Separates observation, finding, attribution, and action
- 03Records time and environment limits
- 04States falsifiers and unavailable evidence
Use cases
- 01Assessing a game-security claim from repository evidence
- 02Reviewing detector metrics and evaluation limits
- 03Triage of conflicting or adversarial evidence
Install
Copy the command and run it in a terminal.
npx skills add https:/After installing, type/game-security-research-rigorin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
assets/evaluation-cases.jsonreview-2026-09-09.jsonreferences/claims-and-workflow.mdrobustness-and-triage.mdrepository-evidence.mdsources.mdskill-evaluation.mdevaluation-and-governance.mdscripts/validate_evaluation_cases.pyDetails
From the project READMEGame security research rigor
Keep conclusions no stronger than the evidence. Separate observation, finding, attribution, and action, and record temporal and environmental limits.
Topic routing
- Claims and workflow for reasoning layers, research steps, and versioned claim records.
- Evaluation and governance for detector metrics, invariants, decision policy, quality gates, and test limits.
- Sources and repository evidence for source roles and collection-specific evidence.
- Robustness and triage for confounders, adversarial inputs, and disagreement.
- Skill evaluation for catalog routing tests.
State what would falsify the conclusion and what evidence remains unavailable. Do not convert a repository summary, community report, or absence of evidence into a verified product claim.