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-searchgit 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-search)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-os/hep-search"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/hep-search/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-search"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/hep-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00014 | $0.00739 |
| Opus 5.5 | $0.00006 | $0.00296 |
| Sonnet 5.5 | $0.00003 | $0.00148 |
| Haiku 4.5 | $0.00001 | $0.00074 |
Grade A, and why
hep-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Update fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.
/hep-search
Find matching agents without calling them. Return two sections: my Agentlas Cloud packages first, then the public Agentlas Hub.
The request is the exact text the user typed after /hep-search.
How to run
Run the shell block below verbatim, replacing only the REQUEST value. The
runner is resolved by absolute path — nothing to install, nothing to add to
PATH.
Guardrails: do NOT diagnose
command not found/PATH, do NOT edit~/.zshrc, and do NOT create/commit/stash/push any git branch or claim you did. This workflow changes no source files and invokes no agent. If the runner is missing, say so and stop — never fabricate results.
REQUEST="<replace with the exact text the user typed after /hep-search>"
case "$REQUEST" in
"<replace"*) echo "REQUEST placeholder not filled — substitute the user's request first." >&2; exit 2 ;;
esac
RUNNER=""
for candidate in \
"$HOME/.agentlas/runtime/current/bin/hephaestus" \
"./bin/hephaestus"
do
if [ -n "$candidate" ] && [ -x "$candidate" ]; then RUNNER="$candidate"; break; fi
done
if [ -z "$RUNNER" ]; then
for cache in "$HOME/.claude/plugins/cache/agentlas-core-engine/hephaestus" \
"${CODEX_HOME:-$HOME/.codex}/plugins/cache/agentlas-core-engine/hephaestus"; do
newest="$(ls -d "$cache"/*/bin/hephaestus 2>/dev/null | sort -V | tail -1)"
if [ -n "$newest" ] && [ -x "$newest" ]; then RUNNER="$newest"; break; fi
done
fi
[ -n "$RUNNER" ] || { echo "Hephaestus runtime not found. Run the installer first." >&2; exit 1; }
if [ "${HEPHAESTUS_AUTH_AUTOPOPUP:-1}" != "0" ]; then
"$RUNNER" auth ensure >/dev/null 2>&1 || true
fi
"$RUNNER" search "$REQUEST" --runtime "${AGENTLAS_HOST_RUNTIME:-terminal}" --limit 10
Answer shape
- Show
sections.cloud.resultsfirst, thensections.hub.results. - For each candidate include rank, name, slug, description, callable/routing status, and why it matched.
- Do not invoke any agent. If the user wants to run exact agents next, use
/hep-call agent-slug-1, agent-slug-2 {context}. - Include
receipt_idin the final line.
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.
- 1mo ago Changed · +37 lines 6bce6230c059
- 1mo ago First seen · 36 lines · 14 tokens per session scan A 5c6a8b71536d
hep-search 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 14 tokens to every session and 739 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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