hep-call

hep-call is a skill for Codex from agentlas-ai/Agentlas-OS. It costs 13 tokens per session (1,073 once invoked), scanned A, original, Apache-2.0.

An agent-preparation skill for explicitly named Agentlas Cloud or Hub agents. It prepares the named agents for a request but does not itself describe broader discovery.

In plain words
What is it for?
Use it when you already know which Agentlas agents should handle a task and want to provide them with shared context.
Why use it?
It turns exact agent names or slugs into a prepared execution request while retaining their source and identity details.

Skill for Codex

Written for Codex: reads $CODEX_HOME. Also seen: mentions Codex.

Good fit Use it when you already know which Agentlas agents should handle a task and want to provide them with shared context.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agentlas-ai/agentlas-os/hep-call
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 · 1,587 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-call
Clone the repo
git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS

Made for: Codex.

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-call

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-os/hep-call"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/hep-call.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 13 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,073 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 $0.00013 $0.01073
Opus 5.5 $0.00005 $0.00429
Sonnet 5.5 $0.00003 $0.00215
Haiku 4.5 $0.00001 $0.00107

Measured 1mo ago against content hash 754128b40cd6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hep-call 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.

kimi/skills/hep-call/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 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-call

Call the exact agents named by the user. This prepares BYOM runtime bundles and receipts; your own model still performs the actual model/tool execution.

Syntax: /hep-call agent-a, agent-b {context}. The text before { is the agent list; the text inside braces is the context. If braces are omitted, the first token is the agent list and the rest is context.

If the user wants it to keep running

Public Hub agent calls are free. Explain that scheduled work still uses the host's own model, API keys, permissions, and runtime capacity. Do not quote or purchase a retired Hub lease.

How to run

Run the shell block below verbatim, replacing only the RAW value with the exact text the user typed after /hep-call. 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. If the runner is missing, say so and stop — never fabricate a run.

RAW="<replace with the exact text the user typed after /hep-call, e.g. agent-a, agent-b {context}>"

case "$RAW" in
  "<replace"*) echo "RAW 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
if printf '%s' "$RAW" | grep -q '{'; then
  AGENTS="${RAW%%\{*}"
  CONTEXT="${RAW#*\{}"
  CONTEXT="${CONTEXT%\}}"
else
  AGENTS="${RAW%% *}"
  CONTEXT="${RAW#* }"
fi
AGENTS="$(printf '%s' "$AGENTS" | sed 's/[[:space:]]*$//')"
CONTEXT="$(printf '%s' "$CONTEXT" | sed 's/^[[:space:]]*//;s/[[:space:]]*$//')"
"$RUNNER" call "$AGENTS" "$CONTEXT" --runtime "${AGENTLAS_HOST_RUNTIME:-terminal}"

Read the full file on GitHub · 98 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. 1mo ago Changed · -17 lines 754128b40cd6
  2. 1mo ago Changed · +69 lines 68ebea797231
  3. 1mo ago First seen · 46 lines · 13 tokens per session scan A 2d7d6f4779f2

Subscribe to this mod's changes

hep-call is a skill published in the GitHub repository agentlas-ai/Agentlas-OS (1,587 stars, last pushed today), licensed Apache-2.0. It adds 13 tokens to every session and 1,073 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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