A command that assigns a task to agents registered on the current machine. It searches only the local Agentlas inventory and prepares a selected agent for execution.

Use it to find and staff on-machine Agentlas agents for a task.

It prevents private local agents from being mixed with cloud or public agents, while keeping the selected local release fixed.

hep-local — Command for Claude Code by agentlas-ai

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 · 1,105 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.

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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/agentlas-ai/agentlas-os/hep-local/github.svg)](https://agentmods.dev/commands/agentlas-ai/agentlas-os/hep-local)

Your own site

<a href="https://agentmods.dev/commands/agentlas-ai/agentlas-os/hep-local"><img src="https://agentmods.dev/badge/commands/agentlas-ai/agentlas-os/hep-local/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/agentlas-ai/agentlas-os/hep-local"><img src="https://agentmods.dev/badge/commands/agentlas-ai/agentlas-os/hep-local.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 13 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,088 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00013	$0.01088
Opus 5	$0.00006	$0.00544
Sonnet 5	$0.00003	$0.00218
Haiku 4.5	$0.00001	$0.00109

Measured 6d ago against content hash bf8d028c234c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

hep-local 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 6d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

hep-local.body — 94% identical, 9 lines differ

.claude/commands/hep-local.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 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-local

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: "local". Before every unpinned discovery, Core refreshes the current safe snapshot for each active registered Local source, creating a new release when the source folder changed. This command searches only that registered Local inventory; it must not add owner Cloud or public Hub candidates. A prepared or goal-bound selection remains pinned to its exact release. network reindex rebuilds the card cache but is not the release refresh mechanism, and a new source still requires explicit registration.

Author a redacted agentlas.workforce-work-order.v1; private project grounding stays on-host.
Call workforce.search_candidates with {workOrder, sourceScope: "local"} and keep the complete response as federationResult, including its local registry receipt.
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.
Call workforce.prepare_execution with {workOrder, selection, federatedSelection, projectDir}. Require every selected row to remain pinned to source local, exact package/content identity, runtime bundle, permission policy, and context digest.
Execute distinct planner/manager, worker, synthesis, and verifier calls with explicit artifact handoffs. Preserve packaged Team graphs.

If the local Core MCP or registered inventory is unavailable, report source_unavailable; do not silently search Cloud or Hub. A prepared roster is not proof of execution.

Rules carried from the other runtime copies

Read the full file on GitHub · 69 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.

6d ago First seen · 69 lines · 13 tokens per session scan A bf8d028c234c

Subscribe to this mod's changes

hep-local is a command published in the GitHub repository agentlas-ai/Agentlas-OS (1,105 stars, last pushed 3d ago), licensed Apache-2.0. It adds 13 tokens to every session and 1,088 once invoked, about $0.0001 per session on Opus 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.

Building agents LLM a2a agent agent-framework agentic-ai ai-agents

hep-local

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

Copies of this mod

How it starts

/hep-local

Rules carried from the other runtime copies

What this file has done since we first saw it

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dashboard-flow-auto

dashboard-server-tunnel-off

dashboard-session-diff

dashboard-session-rename