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.
npx skills add agentlas-ai/Agentlas-OS --skill hep-uploadgit 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/skills/agentlas-ai/agentlas-os/hep-upload)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-os/hep-upload"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/hep-upload/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/skills/agentlas-ai/agentlas-os/hep-upload"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/hep-upload.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 52 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00016 | $0.01941 |
| Opus 5.5 | $0.00006 | $0.00776 |
| Sonnet 5.5 | $0.00003 | $0.00388 |
| Haiku 4.5 | $0.00002 | $0.00194 |
Grade A, and why
hep-upload 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 172 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-upload
Upload an Agentlas agent package. The argument is the exact text the user typed
after /hep-upload — usually an agent folder, possibly empty.
Guardrails: do NOT diagnose
command not found/PATH, do NOT edit~/.zshrc, and do NOT create/commit/stash/push any git branch or claim you did. If the runner is missing, say so and stop — never fabricate an upload.
Step 1 — Ask the destination first
Always ask this before doing anything else, even if the arguments already say upload, publish, add, Cloud, Hub, or a target folder:
Cloud에 업로드할까요? 다른 사람들은 볼 수 없어요.
Upload to Cloud? Other people cannot see it.
Agentlas Hub에 업로드할까요? 다른 사람들이 빌려 쓸 수 있어요.
Upload to Agentlas Hub? Other people can borrow it.
Do not package, publish, register, add-source, reindex, or call any upload API until the user answers Cloud or Agentlas Hub. If the destination is answered but the target folder is ambiguous, ask for the exact agent folder before running anything.
Agentlas Hub publishing and calls are free. Do not ask for an upload price
or pass the retired --rent-credits, --ingest-credits, or --fork-credits
flags. The CLI refuses those flags. Ask what account, API key, or destination
the user's host needs, and put those prerequisites in the package guide.
Taking it back down
Publishing is not one-way. If the user wants a published agent unlisted, call
hephaestus.unpublish_agent with its slug — it returns what would happen and
asks first, and only confirm: true acts. A hub-public package is
soft-unpublished from Hub routing with its bytes retained for audit and
recovery; an owner-private one has its stored bytes removed. Local installs are
never touched. The same thing is on the web at agentlas.cloud/cargo.
Only your own agents. owner_only means it is not yours; repeat that rather
than trying another route.
Step 2 — Resolve the runner
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.
- 7d ago Changed · +44 lines 75caf04ca653
- 16d ago Changed · +10 lines 94f4f58491f1
- 28d ago Changed · -31 lines 56b2a119df8e
- 1mo ago Changed · +57 lines · +1 tokens per session f1aec75e7c68
- 1mo ago First seen · 92 lines · 15 tokens per session scan A ff387989f3cc
hep-upload is a skill published in the GitHub repository agentlas-ai/Agentlas-OS (1,588 stars, last pushed 3d ago), licensed Apache-2.0. It adds 16 tokens to every session and 1,941 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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