INDEX

An index that helps an AI agent choose among 14 named agents by matching a user's request to development, research, operations, or creative work.

In plain words
What is it for?
Use it to select one suitable agent for tasks such as planning, coding, reviewing, research, security coordination, or design.
Why use it?
It avoids searching through every agent manually and explains how to load an agent's instructions when no global agent registration exists.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/global-mindee/way/index
Clone the repo
git clone --depth 1 https://github.com/Global-mindee/WAY
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,264 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.02264
Opus 5 $0.00000 $0.01132
Sonnet 5 $0.00000 $0.00453
Haiku 4.5 $0.00000 $0.00226

Measured 2d ago against content hash 3e15d74a8bd5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

INDEX scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/INDEX.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

agents/INDEX.md — 활성 agents 의미론적 매칭 인덱스

목적: AI가 사용자 발화 → 적합 agent 1개 자동 선택할 때 참조하는 압축 메타 정보 버전: v1.1 (2026-06-11) 연동: agents/USAGE-GUIDE.md 결정 트리가 본 파일을 참조 갱신 정책: agent 추가·삭제·재분류 시 본 파일 동기 갱신 (수동)


사용법 (USAGE-GUIDE.md 참조)

skills/INDEX.md와 동일 — 4개 카테고리 절 전수 후보 → 의미론적 매칭 → 1개 자동 채택. 세부는 agents/USAGE-GUIDE.md.

agent 호출은 Claude Code Agent 도구를 사용하되, subagent_type 글로벌 등록이 없으므로 agent 본문을 prompt에 인라인 주입하는 방식. USAGE-GUIDE 3. 참조.


카테고리 요약

# 카테고리 agent 수 영역
01 01_dev-workflow/ 5 개발 워크플로우 (계획·비평·검토·실행·구현)
02 02_research/ 3 리서치·탐색 (히스토리·프로파일링·시장 조사)
03 03_ops-automation/ 1 운영 자동화 (보안 코디네이션)
04 04_creative/ 5 창작·디자인 (아이디어·기획·UI/UX·문서)
합계 14

01_dev-workflow (5)

agent description (compressed) trigger keywords
critic 실행 전 계획 실행가능성 판정. OKAY/REJECT 이분 + 4축(명확성·검증가능성·완전성·큰그림) + top 3~5 개선안. full-loop S3 비평·Critical pre-mortem 모드. 읽기 전용(도구 제약 frontmatter 표준 준수) 비평, 계획 검토, critic, OKAY, REJECT, pre-mortem
developer 서비스 기획·UX 가이드 기반 코드 구현·배포. agent-skills 파이프라인(/spec→/plan→/build→/test→/ship) 활용 개발, 구현, 코딩, 배포, build
execution-worker 승인된 계획 단계별 실행 + 산출물 생성. manifest.md 상태 추적. security-coordinator Stage 3 호출 실행, manifest, security-execute, stage-3
plan-architect project-profile.md 기반 보안 검토 계획서 작성. security-coordinator Stage 1 호출 보안 계획, 계획서, security-plan, stage-1
plan-reviewer plan-architect 계획서 5관점 자가 검토 + 사용자 승인 요청. Stage 2 검토, 자가 검토, security-review, stage-2

02_research (3)

agent description (compressed) trigger keywords
history-curator 보안 감사 이력(timeline.md) 관리·감사 간 비교. /sec-history, /sec-compare 이력, 감사, security-history, sec-history, sec-compare
project-profiler 프로젝트 기술 스택·데이터 민감도·시장·보안 진단 → project-profile.md 생성. Stage 0 진단, project-profile, security-discover, stage-0
research-analyst 공공·민간 시장 조사·경쟁 분석. 공공데이터·정부 보고서·기업 IR·고객 리뷰 기반 시장 조사, 경쟁 분석, 리서치, 공공 데이터, IR

Read the full file on GitHub · 129 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 129 lines · 0 tokens per session scan A 3e15d74a8bd5

Subscribe to this mod's changes

INDEX is an agent published in the GitHub repository Global-mindee/WAY (11 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,264 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other agents, from other repositories

Forge

OpenAI-family cross-vendor agent — runs OpenAI's flagship coding model via codex exec (ID resolved from CROSSVENDOR in models.ts, never pinned in prose). TWO MODES set by the spawn prompt. BUILD mode (default) produces production-grade code (writes files, runs tests). AUDIT mode (read-only) is the cross-vendor…

danielmiessler/LifeOS · 0 tokens

Max

Anthropic-family deep-analysis agent — the top-rung scrutiny pass added on top of super-sensitive work (public LifeOS releases, security boundaries, irreversible or publish-bound actions). Pinned to the fable alias, which always resolves to Anthropic's latest top model. Read-only: Edit/Write/NotebookEdit are denied at…

danielmiessler/LifeOS · 0 tokens

ClaudeResearcher

Academic researcher using Claude's WebSearch. Called BY Research skill workflows only. Excels at multi-query decomposition, parallel search execution, and synthesizing scholarly sources.

danielmiessler/LifeOS · 36 tokens

Grok

I am Jax. I run xAI's latest Grok model through LIFEOS/TOOLS/GrokQuery.ts, and I exist for exactly one lane: non-sensitive work on public data. A fourth vendor's distribution is genuinely useful — Grok has a different training signal (X-native, current-culture-heavy) than the Anthropic, OpenAI, and Google lanes — but…

danielmiessler/LifeOS · 0 tokens

Executive Orchestrator

Coordinate multi-workflow sessions spanning research, docs, scripting, and fleet changes — sequence executive agents and maintain session coherence.

EndogenAI/dogma · 29 tokens

Deep Research

Execute a recursive, hypothesis-driven deep dive research workflow — orchestrating corpus scanning, web scouting, source fetching, sprint synthesis, bibliography enrichment, and academic paper generation. Instantiates the workflow defined in docs/guides/deep-research.md.

EndogenAI/dogma · 52 tokens