Agent skill

Hep Cloud

by agentlas-ai in agentlas-ai/Agentlas-OS

Staff a task only from the signed-in owner's Agent Cloud agents.

Apache-2.0Auto-check passedAgent Workflows

Install Hep Cloud

skills CLI
$ npx skills add agentlas-ai/Agentlas-OS --skill hep-cloud -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install agentlas-ai/Agentlas-OS hep-cloud --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/kimi/skills/hep-cloud .claude/skills/hep-cloud && rm -rf skills-src

Use ~/.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/

Facts

Skill name
hep-cloud
GitHub stars
1.6k
Token cost
~785 tokens
SKILL.md length
336 words
Files
1
Skills in repo
53
Repo updated
First seen
Licence
Apache-2.0

At a glance

Staff a task only from the signed-in owner's Agent Cloud agents.

  • Works in 5 steps: Author a redacted… → Call workforce.search_candidates with → Author the final… → …
  • Agent Workflows work in your project
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Hep Cloud is an agent skill from agentlas-ai/Agentlas-OS. Staff a task only from the signed-in owner's Agent Cloud agents.

Its SKILL.md is about 790 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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

  • “/hep-cloud”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Author a redacted agentlas.workforce-work-order.v1; private project
  2. Call workforce.search_candidates with
  3. Author the final agentlas.workforce-selection.v1 as the active host LLM,
  4. Call workforce.prepare_execution with
  5. Execute distinct planner/manager, worker, synthesis, and verifier calls with

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 (its code samples are bash).

    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

Hep Cloud loads about 785 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 336 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~19
When it runs · the whole SKILL.md, loaded when a task matches
~785

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). 336 words, ~785 tokens.

Download SKILL.mdSave it as .claude/skills/hep-cloud/SKILL.md (or your agent's skills folder).
name
hep-cloud
description
Staff a task only from the signed-in owner's Agent Cloud agents.

Update fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.

/hep-cloud

Raw request: $ARGUMENTS

Act as the temporary top-level workforce orchestrator. Use the local Agentlas OS MCP server hephaestus-network and call the Workforce tools with exact sourceScope: "cloud". This command may search only packages owned by the signed-in Agentlas account. It must not add Local or public Hub candidates.

Every unpinned Cloud discovery asks the owner-scoped source for its current menu; a client success-cache entry must not hide a newly published, replaced, or removed package. After validation, preparation remains pinned to the exact Cloud release selected from that discovery.

Before the first Cloud source call, reuse the installed Agentlas sign-in. Resolve the runner in this order and use it only for authentication; the host LLM still performs staffing through the Workforce MCP tools:

bash
RUNNER=""
for candidate in \
  "$HOME/.agentlas/runtime/current/bin/hephaestus" \
  "${CLAUDE_PLUGIN_ROOT:+$CLAUDE_PLUGIN_ROOT/bin/hephaestus}" \
  "${PLUGIN_ROOT:+$PLUGIN_ROOT/bin/hephaestus}" \
  "${GEMINI_EXTENSION_ROOT:+$GEMINI_EXTENSION_ROOT/bin/hephaestus}" \
  "./bin/hephaestus"
do
  if [ -n "$candidate" ] && [ -x "$candidate" ]; then RUNNER="$candidate"; break; fi
done
[ -n "$RUNNER" ] && "$RUNNER" auth ensure >/dev/null 2>&1 || true
  1. Author a redacted agentlas.workforce-work-order.v1; private project grounding stays on-host.
  2. Call workforce.search_candidates with {workOrder, sourceScope: "cloud"}. Preserve the Cloud source receipt and selectionSessionId; the projected menu is not a complete federationResult and must not be echoed as one.
  3. Author the final agentlas.workforce-selection.v1 as the active host LLM, then call workforce.validate_selection with {workOrder, selection} and keep the response as federatedSelection. Revise on rejection; do not accept a deterministic picker or unrelated fallback.
  4. Call workforce.prepare_execution with {workOrder, selection, federatedSelection, projectDir}. Require every selected row to remain pinned to source cloud, exact release, package hash, content digest, runtime bundle, permission policy, and context digest.
  5. Execute distinct planner/manager, worker, synthesis, and verifier calls with explicit artifact handoffs. Preserve packaged Team graphs.

Report the exact finite Core refusal—such as source_unauthorized, source_forbidden, source_rate_limited, insufficient_credits, owner_only, no_cloud_package, agent_not_found, source_not_supported, or source_unavailable—with the source receipt. Do not silently search Local or Hub, call a legacy route, or expose a direct remote agentlas MCP alongside Core. A prepared roster is not proof of execution.

For a partial or failed result, report each source receipt's exact failureCode. Never collapse several receipts into one, substitute a different code, or relabel the outcome.

© 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

Just SKILL.md in kimi/skills/hep-cloud of agentlas-ai/Agentlas-OS.

Open the folder on GitHubat commit cfdebf8

Compare with similar skills

Hep Cloud 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.

Hep Cloud compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hep Cloud this skillagentlas-ai/Agentlas-OS1.6k—~785Automated safety check: PassApache-2.0
MCP Server Builderanthropics/skills180k64 repos~2.3kAutomated safety check: PassApache-2.0
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k11 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k35 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official38k8 repos~2.8kAutomated safety check: PassApache-2.0

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Categories

Questions about Hep Cloud

What does Hep Cloud do?

Staff a task only from the signed-in owner's Agent Cloud agents. Hep Cloud is an agent skill from agentlas-ai/Agentlas-OS. Staff a task only from the signed-in owner's Agent Cloud agents.

When should I use Hep Cloud?

Hep Cloud fits situations like: agent Workflows work in your project.

How do I install Hep Cloud in Claude Code?

Run `npx skills add agentlas-ai/Agentlas-OS --skill hep-cloud -a claude-code`. Or copy the skill folder (kimi/skills/hep-cloud in agentlas-ai/Agentlas-OS) into .claude/skills/hep-cloud in your project. Claude Code loads it when a task matches its description.

How do I install Hep Cloud in Codex?

Run `npx skills add agentlas-ai/Agentlas-OS --skill hep-cloud -a codex`. Or copy the skill folder (kimi/skills/hep-cloud in agentlas-ai/Agentlas-OS) into .agents/skills/hep-cloud in your project. Codex loads it when a task matches its description.

Can I use Hep Cloud 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 hep-cloud -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hep-cloud, .gemini/skills/hep-cloud, .github/skills/hep-cloud and .opencode/skills/hep-cloud in your project.

What does Hep Cloud need to run?

SKILL.md names no scripts, command-line tools or credentials: Hep Cloud is instructions for the agent only.

Does Hep Cloud 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 Hep Cloud 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 Hep Cloud use?

Hep Cloud 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 Hep Cloud use?

About 785 tokens (SKILL.md is roughly 3.1k 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 Hep Cloud?

Skills that share tags, products or a category with Hep Cloud: 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 Hep Cloud?

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.