Hep Call logo

Hep Call

OrganizationPopular
agentlas-ai
hep-call

Prepare explicitly named Agentlas Hub or Cloud agents.

Overview

Publisheragentlas-ai
RepositoryAgentlas-OS
Skill namehep-call
Stars
1.6K
Forks
111
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by agentlas-ai on GitHub. Read the source before you install it.

Installation

Install the Hep Call AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-call
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git /tmp/Agentlas-OS
mkdir -p .claude/skills
cp -r /tmp/Agentlas-OS/kimi/skills/hep-call .claude/skills/hep-call
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hep Call in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hep Call on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hep Call is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

bash
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}"

Answer shape

  1. Report each requested agent slug and status.
  2. If status: "prepared", use the returned output.entry_excerpt and output.grounding.directive as the agent's runtime instructions.
  3. If a legacy server returns status: "insufficient_credits", do not run the agent or suggest a top-up. Report that the server has not switched to the free Hub contract.
  4. If an agent fails for any other reason, continue with prepared agents and clearly list each failure with its status.
  5. NEVER substitute for a blocked or failed agent by reading its local source files and role-playing the persona yourself. A Hub agent runs only through the server's pinned bundle; if it did not return prepared, report why — never fabricate a run.
  6. Include the top-level receipt_id and every prepared execution_id.

Examples

text
/hep-call market-researcher, report-writer {시장 리포트 초안 만들어줘}
/hep-call cloud:my-finance-agent {이 리포트 리스크 검토}

Update fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.

Frequently asked questions

What does the Hep Call AI skill do?

Prepare explicitly named Agentlas Hub or Cloud agents.

Why use Hep Call on TypingMind?

Because you install it once and use it with any model. Hep Call is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hep Call in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-call. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hep Call?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hep Call?

As many as you like. As long as a model supports skills, you can use Hep Call with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hep Call AI skill free?

Yes. It is published on GitHub by agentlas-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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