Packs

2 packs

Agent Governance Pipeline

Implement policy enforcement, intent classification, and audit trails for AI agents.

9 skills · pack

@brycewang-stanford

Twelve-skill bundle covering the PNAS manuscript lifecycle: workflow router, scope/significance fit, submission-track selection (Direct vs Contributed), the ≤120-word Significance Statement, ≤250-word abstract, main-text writing with in-text Materials and Methods + classification, display items, statistics & reproducibility, data/code availability, numbered reference style, submission preflight, a

9 skills · pack

Results for “classification”

7 skills

agent-governance

Add governance, safety, and trust controls to AI agent systems with policy enforcement, intent classification, and audit trails.

Recommends the best skill, agent, or command for a given task by classifying intent and scanning available tools.

Maps a described workflow to the right ECC command-group with run-order and stop condition, and browses all command-group recipe families.

More results

Builds an evidence-backed ECC install plan for a repository by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes.

Build, deploy, evaluate, debug, and measure latency for a GPU-accelerated FastAPI service that detects whether operators perform assembly-line steps in order via event boundary detection and VLM classification.

sakamoto-family-smile

Builds an evidence-backed ECC install plan for a repository by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes.

Automatically measures whether coding agents follow skills, rules, or agent definitions by generating scenarios at multiple prompt strictness levels, running agents, classifying tool calls, and reporting compliance rates with full timelines.