swarm-ai-safety
Official@swarm-ai-safety
Simulate multi-agent systems and manage research knowledge vaults for distributional safety, emergent risk metrics, and statistical experiment validation.
Agent Skills by swarm-ai-safety
Showing 27 vetted skills indexed across 2 GitHub repositories.
swarm-ai-safetyrethink
Detect system drift and propose methodology updates for the SWARM research OS.
swarm-ai-safetypipeline
Execute the complete SWARM synthesis pipeline for experiment runs.
swarm-ai-safetynext
Determine the next highest-priority action for the SWARM synthesis pipeline.
swarm-ai-safetyvalidate
Validate SWARM claims for provenance, statistical rigor, schema compliance, and boundary conditions.
swarm-ai-safetyseed
Initialize SWARM batch processing jobs by setting up queues and extraction tasks.
swarm-ai-safetylearn
Research AI safety topics and integrate findings into the SWARM knowledge vault.
swarm-ai-safetyupdate
Update claims with new evidence and lifecycle states.
swarm-ai-safetygraph
Analyze SWARM knowledge graph structure for orphan claims, clusters, and evidence chains.
swarm-ai-safetyextract
Extract structured claims and findings from SWARM experiment runs into a knowledge vault.
swarm-ai-safetycross-link
Identify and articulate semantic connections between knowledge vault claims and topic maps.
swarm-ai-safetyremember
Record methodology friction and process corrections into the SWARM vault.
swarm-ai-safetystats
Gather and display SWARM knowledge vault metrics and pipeline statuses.
swarm-ai-safetyswarm-safety
Simulate multi-agent AI systems to study distributional safety and emergent risks.
swarm-ai-safetystatistical-analysis
Perform pairwise t-tests, Cohen's d, and Bonferroni corrections on SWARM experiment CSV data.
swarm-ai-safetyplotting
Generate publication-quality plots from SWARM simulation sweep and time-series data.
swarm-ai-safetyparameter-sweep
Execute parameter grid sweeps across SWARM simulations to measure emergent risk metrics.
swarm-ai-safetyrun-scenario
Execute SWARM simulation scenarios and export history.json and CSV metrics.
swarm-ai-safetypaper-writing
Scaffold markdown research papers from SWARM run data with methods and results tables.
swarm-ai-safetyregression-check
Re-run pytest suites and compare performance metrics against historical baselines.
swarm-ai-safetyverify
Run vault integrity checks for schema, evidence, wiki-links, and claims.
swarm-ai-safetysession-close
Summarize session changes, update memory logs, and commit code with Git.
swarm-ai-safetyrun-query
Query run-index.yaml and vault claims for experiment metadata by tag, date, type, or claim.
swarm-ai-safetyvault-init
Initialize a SWARM Research OS vault with directory structure and templates.
swarm-ai-safetysanity-check
Validate multi-agent simulation scenario configs with short runs and metric checks.
Frequently Asked Questions About swarm-ai-safety
FAQPage SchemaWhat specific research tasks are enabled by these capabilities?▼
These capabilities enable the execution of multi-agent simulation scenarios, statistical analysis of experiment data using t-tests and Cohen's d, and the management of research claims through a structured knowledge vault, including evidence tracking and semantic cross-linking of findings.
Which personas benefit from these research methodologies?▼
These capabilities are designed for AI safety researchers, computational social scientists, and experimentalists focused on distributional safety, emergent risk modeling, and the systematic documentation of multi-agent system behaviors and hypothesis testing.
What are the prerequisites for initializing a research environment?▼
To begin, users must initialize a Research OS vault to establish the required directory structure and templates. This environment relies on YAML-based run-indexing and structured CSV metric exports to maintain provenance and integrity across experiment lifecycles.