YuanCe (元测) — a disciplined, authorization-first AI security-testing methodology: a four-stage (recon → discovery → verification → reporting) web security testing workflow on authorized targets (self-owned assets / SRC bug bounty / CTF / local labs), with

YuanShou (元守) — a generic zero-dependency Python 3.8+ pre-publish release guard (defaults to YottaMeta ownership, customizable to any publishing organization): check (full / github / self modes, optional yotta-security-audit / yotta-vetter / yotta-verify

Listr2 prompt adapter for inquirer.

Pair-style code quality reviewer: twelve book-grounded decay risks (R1-R6, T1-T6) plus release-safety and first-paint UX checks; Iron Law findings (Symptom -> Source -> Consequence -> Remedy) and 0-100 Health Score.

Anti-shallow AI output rules engine: force analyze-first / execute-after / self-check, curbing superficial output. Activates on intent for deep analysis, end-to-end verification, root-cause tracing, rigorous execution, meticulous checking; also applies au

Run a command using sudo, prompting the user with an OS dialog if necessary

YuanGe (元阁) — orchestration and routing for the YottaMeta skill family, packaged as a YottaMeta Agent Plugin.

Yuanyao — a zero-dependency secret & credential leak scanner for AI agents: scans source code, config files, .env and git history for cloud API keys, private keys, credential assignments, URL-embedded credentials and high-entropy tokens using regex + entr

Core Inquirer prompt API

YuanCheng (元呈) — a universal result-presentation layer for AI agents, packaged as a YottaMeta Agent Plugin.

Inquirer confirm prompt

Yuanban (元伴) — a human-AI collaboration protocol skill: a repeatable collaboration unit with a context brief (background / goal / constraints / acceptance), plan-first gate, milestone delivery, verification, handover anchors and experience reuse. Triggers

Autocomplete prompt for inquirer

Yuanshi — a skill for retrieving historical session / memory logs across AI agents: zero-dependency search and analysis of JSONL, JSON, SQLite and Markdown session & memory files (unified Record + field-alias normalization + config fallback), with full so

A beautiful command-line prompt for node.js

Yuanlian — a zero-dependency supply-chain dependency validator for AI agents: detects dependency confusion (private package names resolved from public registries, mixed registries, suspicious registry URLs), lockfile consistency issues (missing entries, u

Yuanqing — a zero-dependency threat-intel IOC extraction & normalization engine for AI agents: extracts IP (IPv4/IPv6), domains, URLs, emails, hashes (MD5/SHA1/SHA256/SHA512) and CVE IDs from threat reports, phishing emails and logs; recognizes and revers

Checkbox with autocomplete and other additions for Inquirer

Jest plugin for filtering by filename or test name

Clack contains low-level primitives for implementing your own command-line applications.