Agent Skills by Mojo Scott
Showing 193 vetted skills indexed across 2 GitHub repositories.
AesopScottbudget-check
Validate budget constraints before dispatching tasks in the Cost harness.
AesopScottcost-model
Implement per-provider cost models and budget policies for AI expenditure.
AesopScottguardrail-packs
Define and implement security guardrails and capability boundaries in AI harnesses.
AesopScottconstraint-packs
Define and test policy-based constraint packs within the Policy harness.
AesopScotttool-policy
Configure allowed-tool sets and execution policies for AI agent safety boundaries.
AesopScottvoting-strategy
Configure voting strategies and juror sets for AI model comparison harnesses.
AesopScottredaction-precompiler
Precompile redaction matchers to reduce latency in privacy-sensitive systems.
AesopScottdry-run
Enforce tool-call ceilings and dry-run protocols for Tool Registry operations.
AesopScottscope-connectors
Defines and tests project scope boundaries and capability handoffs.
AesopScottspeed-matcher
Optimize model selection logic in the Select harness to prioritize lower-latency candidates.
AesopScottcall-budget
Enforce local-first execution and remote-call budgeting for network protocols.
AesopScottci-gate
Inspect Git Control harness and propose cost-saving CI trigger configurations.
AesopScotttemplate-precompiler
Precompile prompt templates and manage cache prefix reuse for AI model response generation.
AesopScottbatch-endpoints
Transition API interactions from real-time to batch-processed endpoints to reduce vendor-side resource consumption.
AesopScottcall-parallelizer
Cache tool results and execute independent tool calls in parallel.
AesopScottchange-capture
Configure browser harnesses to capture screenshots only on detected changes.
AesopScottagent-types
Register agent types and enforce result schemas in the Sub-agent Dispatch harness.
AesopScottcheap-recall
Implement tiered cached lookups and token budget constraints for knowledge retrieval.
AesopScottworker-ceiling
Enforces worker-tier and agent-count caps in sub-agent dispatch harnesses.
AesopScotttier-selector
Default AI model selection to the lowest sufficient performance tier.
AesopScottcall-ceiling
Enforce maximum tool-call limits per AI request.
AesopScottfast-pinner
Pin API requests to fastest adequate model variants in the Identity harness.
AesopScottprovider-adapters
Manage vendor-specific model adapters and fallback-chain depth in the Model Router harness.
AesopScotttrace-sampling
Configures trace sampling rates and retention windows for DevOps workflows.