git:20260801.f1208fb to git:20260806.fa1c7ae

9 added, 0 removed. Audit A to A.

---

name: ase-meta-chat

argument-hint: "[--help|-h] <llm> <query>"

description: >

Query foreign LLM for chat.

Use this skill if a foreign LLM like OpenAI ChatGPT, Google Gemini,

DeepSeek or xAI Grok should be queried with a single chat message.

user-invocable: true

disable-model-invocation: false

effort: medium

allowed-tools:

- "Agent"

---

@${CLAUDE_SKILL_DIR}/../../meta/ase-control.md

@${CLAUDE_SKILL_DIR}/../../meta/ase-skill.md

@${CLAUDE_SKILL_DIR}/../../meta/ase-getopt.md

Query Foreign LLM for Chat

</purpose>

$ARGUMENTS

</expand>

Query foreign LLM for: <query><getopt-arguments/></query>

</objective>

+ <if condition="<query/> is empty">

+ Only output the following <template/> and then immediately *STOP*

+ processing the entire current skill:

+ <template>

+ ⧉ **ASE**: ✪ skill: **ase-meta-chat**, ▶ ERROR: expected a `<query>` argument

+ </template>

+ </if>

1. You *MUST* *NOT* output anything in this step.

Just call the underlying agent with the following tool:

```text

Agent(

description: "Query Foreign LLM for Chat",

subagent_type: "ase:ase-meta-chat",

prompt: <query/>,

run_in_background: false

)

```

2. Output the *plain response* of the `ase:ase-meta-chat` agent

*verbatim* and *without any modifications*. Especially, do *NOT* add or

remove any text from the agent response on your own and do not interpret

the result in any way.