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.
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.
git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OSWrote 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.
[](https://agentmods.dev/commands/agentlas-ai/agentlas-os/hep-local.body)<a href="https://agentmods.dev/commands/agentlas-ai/agentlas-os/hep-local.body"><img src="https://agentmods.dev/badge/commands/agentlas-ai/agentlas-os/hep-local.body/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.
<a href="https://agentmods.dev/commands/agentlas-ai/agentlas-os/hep-local.body"><img src="https://agentmods.dev/badge/commands/agentlas-ai/agentlas-os/hep-local.body.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.01052 |
| Opus 5 | $0.00000 | $0.00526 |
| Sonnet 5 | $0.00000 | $0.00210 |
| Haiku 4.5 | $0.00000 | $0.00105 |
Grade A, and why
hep-local.body 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.
This is a copy
94% identical to hep-local — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 64 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: {{ARGS}}
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_candidateswith{workOrder, sourceScope: "local"}and keep the complete response asfederationResult, including its local registry receipt. - Author the final
agentlas.workforce-selection.v1as the active host LLM, then callworkforce.validate_selectionwith{workOrder, selection}and keep the response asfederatedSelection. Revise on rejection; do not accept a deterministic picker or unrelated fallback. - Call
workforce.prepare_executionwith{workOrder, selection, federatedSelection, projectDir}. Require every selected row to remain pinned to sourcelocal, 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
These lines existed in one runtime's hand-maintained copy and not in the longest one. They are kept verbatim rather than dropped — a rule that only one runtime enforced was still a rule someone wrote on purpose.
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 · 64 lines · 0 tokens per session scan A db347cedfedb
hep-local.body is a command published in the GitHub repository agentlas-ai/Agentlas-OS (1,105 stars, last pushed 3d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,052 tokens. A static security scan graded it A with 0 findings. It is 94% identical to hep-local, differing in 9 lines, and is treated as a copy.
Other commands, from other repositories
dashboard-list-models
List reachable models from the dashboard registry. Usage /dashboard:list-models [annotated].
dashboard-session-abort-all
Abort multiple running sessions (asks which). Usage /dashboard:session-abort-all.
dashboard-flow-auto
Toggle autonomous mode for a session's flow. Usage /dashboard:flow-auto.
dashboard-server-tunnel-off
Disconnect the public tunnel. Usage /dashboard:server-tunnel-off.
dashboard-session-diff
Show file changes (git diff) for a session by id-prefix. Usage /dashboard:session-diff . Runs locally, no LLM.
dashboard-session-rename
Rename a session. Usage /dashboard:session-rename.