hep-hub

hep-hub is a skill for Claude Code from agentlas-ai/Agentlas-OS. It costs 15 tokens per session (1,008 once invoked), scanned A, original, Apache-2.0.

A Hub-only agent-staffing skill that finds and prepares agents from the public Agentlas Hub marketplace.

In plain words
What is it for?
Use it to assign Hub agents to roles, coordinate their work with artifact handoffs, and verify the final result.
Why use it?
It lets you recruit from public agents while keeping marketplace results separate from local and private Cloud agents.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Good fit Use it to assign Hub agents to roles, coordinate their work with artifact handoffs, and verify the final result.

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Install with agentmods
npx agentmods add skills/agentlas-ai/agentlas-os/hep-hub
About the project

Agentlas OS is a local-first system for creating, storing, borrowing, and running specialist AI agents and temporary agent teams through supported hosts and models. It serves people who want reusable agents that remain available across computers and model workspaces, and the catalogue contains its skills, commands, hooks, agents, instructions, plugin, and rule.

agentlas-ai/Agentlas-OS · 1,584 stars · on GitHub · agentlas.cloud

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.

Any agent
npx skills add agentlas-ai/Agentlas-OS --skill hep-hub
Clone the repo
git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for hep-hub

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/hep-hub/github.svg)](https://agentmods.dev/skills/agentlas-ai/agentlas-os/hep-hub)
Your own site
<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-os/hep-hub"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/hep-hub/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for hep-hub

Your own site · 80×15
<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-os/hep-hub"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/hep-hub.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,008 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00015 $0.01008
Opus 5.5 $0.00006 $0.00403
Sonnet 5.5 $0.00003 $0.00202
Haiku 4.5 $0.00002 $0.00101

Measured 11d ago against content hash bdc2bf8cd736, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hep-hub 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 11d 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.

kimi/skills/hep-hub/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

/hep-hub

Use the local Agentlas OS MCP server hephaestus-network and call the Workforce tools with exact sourceScope: "hub". This is public Hub only; it must not add registered Local or owner Cloud candidates.

First decide which of the two shapes this is

One named agent. The argument names a single agent — a slug, or an unmistakable name with no task described around it (ktx-book, use ktx-book). The user is asking to use that agent, not to have a team staffed, so do not make them sit through a staffing ceremony to get there:

  1. Find that exact agent with hephaestus_search. If nothing matches the name, say so and stop — never substitute a different agent for the one they asked for.
  2. Before preparing anything, tell them in plain words:
    • what the agent does, from its own card;
    • what it will need from them. Read prerequisites, envRequirements and mcpServers off the card. If all three are empty, say that the card declares nothing rather than implying it needs nothing — plenty of agents want a login they never wrote down, and the user should hear that before they start, not when the run stops to ask;
  3. Ask for whatever it needs, then prepare and run it, keeping the exact release pins below.

Skip the ceremony, never the pins: the prepared release must still carry source hub, the exact release, package hash, content digest, runtime bundle, permission policy, and context digest.

A job to be done. The argument describes work rather than naming an agent. Staff it:

  1. Author a redacted agentlas.workforce-work-order.v1; private project grounding stays on-host.
  2. Call workforce.search_candidates with {workOrder, sourceScope: "hub"} and keep the complete response as federationResult, including the Hub source receipt and the projected menu's selectionSessionId. Do not echo the projected menu back as federationResult — Core resolves the complete federation state locally from that session.
  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 hub, 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.

Read the full file on GitHub · 87 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. 11d ago Changed · +9 lines bdc2bf8cd736
  2. 1mo ago Changed · -48 lines 59b8501c7a06
  3. 1mo ago Changed · +99 lines 363feef4561d
  4. 1mo ago First seen · 27 lines · 15 tokens per session scan A 345cd0aee156

Subscribe to this mod's changes

hep-hub is a skill published in the GitHub repository agentlas-ai/Agentlas-OS (1,584 stars, last pushed 2d ago), licensed Apache-2.0. It adds 15 tokens to every session and 1,008 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.

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