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Agentlas Operations

OrganizationPopular
agentlas-ai
agentlas-operations

Agentlas 시스템 운용 절차 — hep-network 편성, hep-graph 자동화, cargo/Agent Cloud·marketplace 활용, workforce 로스터 재사용, 메모리 계약. One(개인 에이전트)이 Agentlas를 조작할 때 이 절차를 따른다.

Overview

Publisheragentlas-ai
RepositoryAgentlas-OS
Skill nameagentlas-operations
Stars
1.6K
Forks
111
Bundled files
1
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by agentlas-ai on GitHub. Read the source before you install it.

Installation

Install the Agentlas Operations AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/agentlas-ai/Agentlas-OS/tree/main/.agents/skills/agentlas-operations
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git /tmp/Agentlas-OS
mkdir -p .claude/skills
cp -r /tmp/Agentlas-OS/.agents/skills/agentlas-operations .claude/skills/agentlas-operations
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agentlas Operations in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agentlas Operations on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agentlas Operations is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Agentlas 시스템 운용 (One 운용 스킬)

도구의 존재와 이름은 이 문서가 아니라 INDEX.md가 정본이다(릴리스 빌드가 라이브 레지스트리에서 자동 생성 — 손 목록은 반드시 썩는다). 이 문서는 절차만 다룬다.

1. 편성 (hep-network) — 로스터 재사용이 항상 먼저

  1. workforce.goal_context로 활성 로스터부터 확인한다. 재사용으로 충분하면 모집하지 않는다.
  2. 진짜 공백일 때만: 축약(redacted) 워크오더 1장 → workforce.search_candidates (sourceScope=network = local+cloud+hub 연합).
    • ⚠️ requiredSkills에 시드 온톨로지 ID를 걸면 실후보 전원이 가짜 결격을 단다(실측).
  3. 선발은 호스트 LLM이 한다(연합은 점수 매기지 않는다) → workforce.validate_selection (연합 결과 원본 그대로 — 축약본은 거절됨) → workforce.prepare_execution(projectDir 필수).
  4. 준비 성공은 자동으로 로스터에 바인딩된다. 바인딩은 명시적 workforce.complete_goal까지 유지 — 24시간 Hub 리스는 과금 단위지 바인딩 종료가 아니다.
  5. 소스 스코프는 정확하게: network=전체, local/cloud/hub는 제한 스코프이지 폴백 계층이 아니다.

2. 자동화 (hep-graph)

  • 반복 작업은 대화로 그래프를 만들어 저장한다(/hep-graph). 실행 중 승인 게이트는 없다 (오너 결정 2026-08-09: 승인은 만들 때 한 번).
  • "항상 허용"을 그래프 digest에 걸지 않는다 — digest가 바뀌면 바로 그 실행의 재개가 거부된다. 사람의 결정은 실행 밖 기록에 둔다.

3. 자산 (cargo / Agent Cloud / marketplace)

  • 내 서랍: cargo.* (드래프트·라이브러리, 로그인 필요). 오너 자산 검색은 /hep-cloud.
  • 공개 검색: marketplace.search_agents (로그인 불필요) — kind가 cloud-callable이면 get_runtime_bundle(BYOM: 내 모델이 번들을 실행, 서버는 LLM을 돌리지 않는다), install-only면 get_manifest로 설치.
  • 도구가 안 보이면 단정 전에 agentlas_resolve_plugins — 미설치 ≠ 부재. 설치는 사용자 결정.
  • 서버 거절(insufficient_credits·owner_only 등)은 그 문구 그대로 보고한다. 지정 원격 에이전트를 로컬 폴백이 대신 실행한 척하지 않는다.

4. 메모리 계약 (One 워커로서)

  • 작업 전 agentlas.memory.preflight — 아는 사실 재유도 금지.
  • durable은 직접 쓰지 않는다. 답 끝의 ## Memory Events 봉투가 유일한 기록 경로이고 런타임이 티켓으로 포장한다. 근거 없는 fact/decision/procedure는 hypothesis로 강등된다.
  • 앞선 durable을 대체하는 학습이면 candidate에 "supersedes":"<h:16hex>"를 넣는다 (회수에서 숨겨질 뿐 삭제되지 않는다).
  • One 서랍(~/.agentlas/one/)은 읽기 자유·쓰기 금지(D3) — 편집 시도는 PreToolUse가 거절한다.

5. 표면별 함정 (실측 기반)

  • 플러그인 MCP 서버는 세션 시작 때 캐시에서 로드된다 — 릴리스 직후엔 새 세션에서 검증.
  • 원격 서버는 관대하고 로컬 Core는 엄격하다(validate에는 연합 결과 원본 전체를 넘길 것).
  • Hub 발행 503 WRITE_MODE=blocked는 서버 상태이지 패키지 결함이 아니다.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Agentlas Operations AI skill do?

Agentlas 시스템 운용 절차 — hep-network 편성, hep-graph 자동화, cargo/Agent Cloud·marketplace 활용, workforce 로스터 재사용, 메모리 계약. One(개인 에이전트)이 Agentlas를 조작할 때 이 절차를 따른다.

Why use Agentlas Operations on TypingMind?

Because you install it once and use it with any model. Agentlas Operations is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agentlas Operations in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agentlas-ai/Agentlas-OS/tree/main/.agents/skills/agentlas-operations. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Agentlas Operations?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agentlas Operations?

As many as you like. As long as a model supports skills, you can use Agentlas Operations with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agentlas Operations AI skill free?

Yes. It is published on GitHub by agentlas-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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