MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Agentlas 시스템 운용 절차 — hep-network 편성, hep-graph 자동화, cargo/Agent Cloud·marketplace 활용, workforce 로스터 재사용, 메모리 계약.
Install Agentlas Operations
$ npx skills add agentlas-ai/Agentlas-OS --skill agentlas-operations -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentlas-ai/Agentlas-OS agentlas-operations --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agentlas-operations .claude/skills/agentlas-operations && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "agentlas-operations" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/skills/agentlas-operations into .claude/skills/agentlas-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentlas-operations", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/agentlas-ai/Agentlas-OS/tree/main/skills/agentlas-operationsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add agentlas-ai/Agentlas-OS --skill agentlas-operations -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentlas-ai/Agentlas-OS agentlas-operations --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/agentlas-operations .agents/skills/agentlas-operations && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agentlas-operations" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/skills/agentlas-operations into .agents/skills/agentlas-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentlas-operations", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentlas-ai/Agentlas-OS --skill agentlas-operations -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentlas-ai/Agentlas-OS agentlas-operations --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/agentlas-operations .cursor/skills/agentlas-operations && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agentlas-operations" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/skills/agentlas-operations into .cursor/skills/agentlas-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentlas-operations", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/agentlas-ai/Agentlas-OS.git --path skills/agentlas-operations--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add agentlas-ai/Agentlas-OS --skill agentlas-operations -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentlas-ai/Agentlas-OS agentlas-operations --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/agentlas-operations .gemini/skills/agentlas-operations && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agentlas-operations" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/skills/agentlas-operations into .gemini/skills/agentlas-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentlas-operations", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install agentlas-ai/Agentlas-OS agentlas-operationsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add agentlas-ai/Agentlas-OS --skill agentlas-operations -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/agentlas-operations .github/skills/agentlas-operations && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agentlas-operations" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/skills/agentlas-operations into .github/skills/agentlas-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentlas-operations", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentlas-ai/Agentlas-OS --skill agentlas-operations -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentlas-ai/Agentlas-OS agentlas-operations --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/agentlas-operations .opencode/skills/agentlas-operations && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agentlas-operations" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/skills/agentlas-operations into .opencode/skills/agentlas-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentlas-operations", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
agentlas-operations- GitHub stars
- 1.6k
- Token cost
- ~695 tokens
- SKILL.md length
- 381 words
- Files
- 2
- Skills in repo
- 53
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Agentlas 시스템 운용 절차 — hep-network 편성, hep-graph 자동화, cargo/Agent Cloud·marketplace 활용, workforce 로스터 재사용, 메모리 계약.
- Works in 5 steps: 편성 (hep-network) — 로스터 재사용이 항상 먼저 → 자동화 (hep-graph) → 자산 (cargo / Agent Cloud / marketplace) → …
- Agent Workflows work in your project
- SKILL.md covers 1. 편성 (hep-network) — 로스터 재사용이…, 2. 자동화 (hep-graph), 3. 자산 (cargo / Agent Cloud /… and 4. 메모리 계약 (One 워커로서), plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Agentlas Operations is an agent skill from agentlas-ai/Agentlas-OS. 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.
Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `INDEX.md`).
It sits in Agent Workflows. The repository describes itself as: Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model. The licence is Apache-2.0.
When your agent uses it
- Agent Workflows work in your project
Example prompts
- “Use the agentlas-operations skill to agentla 시스템 운용 절차 — hep-network 편성, hep-graph 자동화, cargo/Agent Cloud·marketplace 활용, workforce 로스터 재사용, 메모리 계약”
- “/agentlas-operations”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cfdebf8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Agentlas Operations loads about 695 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 381 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from agentlas-ai/Agentlas-OS at commit cfdebf8, republished under its Apache-2.0 licence (© agentlas-ai). 381 words, ~695 tokens.
Download SKILL.mdSave it as
.claude/skills/agentlas-operations/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- agentlas-operations
- description
- 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.
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
workforce.goal_context로 활성 로스터부터 확인한다. 재사용으로 충분하면 모집하지 않는다.- 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).
- ⚠️
- 선발은 호스트 LLM이 한다(연합은 점수 매기지 않는다) →
workforce.validate_selection(연합 결과 원본 그대로 — 축약본은 거절됨) →workforce.prepare_execution(projectDir 필수). - 준비 성공은 자동으로 로스터에 바인딩된다. 바인딩은 명시적
workforce.complete_goal까지 유지 — 공개 Hub 호출은 무료이며 호스트 모델/API 사용량은 별개다. - 소스 스코프는 정확하게: network=전체, local/cloud/hub는 제한 스코프이지 폴백 계층이 아니다.
- 워커를 띄우기 직전마다 살아 있는 세션을 알리고
model.resolve_allocation을 부른다 (stage=planner/worker/synthesis/verifier). 영수증의 provider·model·effort를 그대로 쓴다.- 이건 편성뿐 아니라 One이 스스로 워커를 나눌 때도 적용된다. 한 모델로 다 하는 턴은 배정할 것이 없으니 부르지 않는다 — 역할이 갈리는 순간에만 부른다.
- 세션에는
session_id·model·provider를, 호스트가 아는 경우에만tier·supported_efforts·context_window를 싣는다. 없는 값을 지어내지 않는다 — 빠진 컨텍스트 창은 보수적 하한으로 가정되고 영수증이 그 사실을 밝힌다 (inventory_context_window_assumed). - 오케스트레이터/워커 등급은 오퍼레이터가
hep-orch orchestrator=<tier|model> worker=<tier|model>로 정한다. 작업이나 도구 인자가 그 상한을 올릴 수 없다.
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.
Show full SKILL.md (154 more words)Show less
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) — kind가cloud-callable이면get_runtime_bundle(BYOM: 내 모델이 번들을 실행, 서버는 LLM을 돌리지 않는다),install-only면get_manifest로 설치. - 도구가 안 보이면 단정 전에
agentlas_resolve_plugins— 미설치 ≠ 부재. 설치는 사용자 결정. - 서버 거절(
owner_only등)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 Events봉투가 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.
© agentlas-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/agentlas-operations of agentlas-ai/Agentlas-OS.
- SKILL.md
- INDEX.md
Open the folder on GitHubat commit cfdebf8
Compare with similar skills
Agentlas Operations next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agentlas Operations this skillagentlas-ai/Agentlas-OS | 1.6k | — | ~695 | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 64 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 35 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 296k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Claude Code Agent Developmentanthropics/claude-plugins-official | 38k | 8 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Agentlas Operations
What does Agentlas Operations do?
Agentlas 시스템 운용 절차 — hep-network 편성, hep-graph 자동화, cargo/Agent Cloud·marketplace 활용, workforce 로스터 재사용, 메모리 계약. Agentlas Operations is an agent skill from agentlas-ai/Agentlas-OS. Agentlas 시스템 운용 절차 — hep-network 편성, hep-graph 자동화, cargo/Agent Cloud·marketplace 활용, workforce 로스터 재사용, 메모리 계약.
When should I use Agentlas Operations?
Agentlas Operations fits situations like: agent Workflows work in your project.
How do I install Agentlas Operations in Claude Code?
Run `npx skills add agentlas-ai/Agentlas-OS --skill agentlas-operations -a claude-code`. Or copy the skill folder (skills/agentlas-operations in agentlas-ai/Agentlas-OS) into .claude/skills/agentlas-operations in your project. Claude Code loads it when a task matches its description.
How do I install Agentlas Operations in Codex?
Run `npx skills add agentlas-ai/Agentlas-OS --skill agentlas-operations -a codex`. Or copy the skill folder (skills/agentlas-operations in agentlas-ai/Agentlas-OS) into .agents/skills/agentlas-operations in your project. Codex loads it when a task matches its description.
Can I use Agentlas Operations in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentlas-ai/Agentlas-OS --skill agentlas-operations -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentlas-operations, .gemini/skills/agentlas-operations, .github/skills/agentlas-operations and .opencode/skills/agentlas-operations in your project.
What does Agentlas Operations need to run?
SKILL.md names no scripts, command-line tools or credentials: Agentlas Operations is instructions for the agent only.
Does Agentlas Operations access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Agentlas Operations safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Agentlas Operations use?
Agentlas Operations is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Agentlas Operations use?
About 695 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Agentlas Operations?
Skills that share tags, products or a category with Agentlas Operations: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agentlas Operations?
agentlas-ai (a GitHub organization) maintains it in agentlas-ai/Agentlas-OS, which has 1,575 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on October 6, 2026.
Source: agentlas-ai/Agentlas-OS on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.