GitHub
codex-law-enforcement
Enforce the four Codex Laws governing all agent interactions: CONSENT, INVITATION, INTEGRITY, GROWTH.
starwreckntx AI Skills
GitHub ↗Explorez les skills IA publiés de starwreckntx et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
92Étoiles des dépôts des skills indexés
184Forks du dépôt
0Moyenne des étoiles par skill indexé
2Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
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GitHub
resonant-probe-deployment
Deploy resonant probes to test system response patterns.
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neutral-target-baseline
Establish neutral baseline metrics for unbiased assessment.
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recursive-thought-committee-activation
Activate the Recursive Thought Committee multi-persona framework.
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account-security-validation
Validate account security and authentication protocols.
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computational-model-design
Design computational models for cognitive simulation and analysis.
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agent-task-conductor
Conduct multi-agent task orchestration and workflow coordination.
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sequence-memory-storage-and-recall
Store and recall sequential memory patterns and state transitions.
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proactive-collaborative-contribution
Contribute proactively to collaborative workflows.
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lattice-spatial-collective
Multi-agent distributed context preservation protocol using cryptographic sharding, gossip propagation, and Byzantine fault tolerance to maintain coherent shared memory across dynamic agent networks.
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occlusion-trace-meta-proof
Generate meta-proofs for occluded reasoning traces.
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contingency-module-architecture
Design contingency module architectures for failure scenarios.
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context-preservation-protocol-execution
Execute context preservation protocols for session continuity.
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reciprocity-mandate-sync
Synchronize reciprocity mandates across agent boundaries.
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mathematical-constraint-formalization
Formalize constraints using mathematical notation.
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aegis-escalation-cascade
Tier escalation and human override cascade protocol for AI-to-Human governance bridge.
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enumeration-protocol-execution
Enforce a Divergent-Convergent Scan loop to overcome 'Prevalent Noun Bias' and statistical probability reflexes (System 1).
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jc-baseline-v2-1-eval
Execute Joseph Cognitive Baseline v2.1 evaluation protocol.
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axiom-rejection-protocol
Reject axioms that violate established ground truth.
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gemini-rlm-min
Minimal implementation of Recursive Language Models (RLM) using Gemini 2.0 Flash and a local Python REPL. Enables processing of massive contexts via the Gemini CLI.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.