glm-delegation

SkillProductivity

Delegates tasks to Z.ai GLM-5.x via the stock claude binary and an endpoint swap. Use when delegation-core selects GLM or a 1M-token context is needed.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the glm-delegation skill

What this skill tells your AI

The instructions your AI receives, as published by athola/claude-night-market in plugins/conjure/skills/glm-delegation/SKILL.md and read by ahel’s review.

Table of Contents

  • Overview
  • When To Use
  • When NOT To Use
  • Prerequisites
  • Quick Start
  • Smart Delegation
  • GLM-Specific Details
  • Exit Criteria

GLM Delegation

Overview

GLM ships no CLI of its own. Z.ai serves an Anthropic-compatible endpoint, so the stock claude binary reaches GLM by changing two environment variables and nothing else. This is the endpoint-swap archetype: the redirection is environment, never argv.

GLM-5.3 was released on 2026-08-14 and claims a large coding gain over GLM-5.2 from post-training alone.

When To Use

  • delegation-core selected glm for the task
  • A 1M-token context is wanted through glm-5.3[1m]
  • A GLM Coding Plan subscription should absorb the work instead of the Anthropic quota

When NOT To Use

  • ZAI_API_KEY is unset. Verification refuses rather than sending an unauthenticated request
  • The claude binary is not installed. GLM has no fallback CLI
  • A pinned GLM-5.3 identifier is required in a script that must not break: see the rollout note below

Prerequisites

Installation

Only the stock Claude Code binary is needed:

npm install -g @anthropic-ai/claude-code

Authentication

export ZAI_API_KEY="<your-zai-key>"

The delegation service builds the child environment from that one variable. Z.ai requires ANTHROPIC_AUTH_TOKEN, not ANTHROPIC_API_KEY. Putting the key in the wrong one is the most common way to get a 401 here, so the service names the correct variable and the overlay references ${ZAI_API_KEY} rather than storing a secret.

Quick Start

Using the shared delegation executor

uv run python scripts/delegation_executor.py glm "Review this design" \
  --files docs/

Through the Makefile

make -C plugins/conjure delegate-glm PROMPT='Review this design'

Direct CLI usage

ANTHROPIC_BASE_URL=https://api.z.ai/api/anthropic \
ANTHROPIC_AUTH_TOKEN="$ZAI_API_KEY" \
claude --model glm-5.3 -p "Review this design"

Smart Delegation

glm declares code_execution and large_context strengths and ranks behind gemini, qwen and minimax in the candidate order. It declares glm-5.3 as its default, glm-5.3[1m] for large context, and glm-4.7 for fast response.

GLM-Specific Details

PropertyValue
Binaryclaude (stock)
Base URLhttps://api.z.ai/api/anthropic
Auth variableANTHROPIC_AUTH_TOKEN, from ZAI_API_KEY
Default modelglm-5.3
Large contextglm-5.3[1m]
OpenAI-compatible URLhttps://api.z.ai/api/coding/paas/v4

The [1m] suffix is what unlocks the 1M-token window. Omitting it is a documented setup mistake. Pair it with CLAUDE_CODE_AUTO_COMPACT_WINDOW=1000000 when driving claude directly.

Two operational notes. Environment changes only take effect in a freshly launched shell, so an already-open session keeps reaching Anthropic's real endpoint. And claude shows a first-run trust prompt when it sees a non-Anthropic base URL. The -p non-interactive form this service uses does not block on it.

Rollout caveat: at the time of writing, docs.z.ai/devpack/latest-model documented glm-5.3 while docs.z.ai/guides/llm/glm-5.3 still read "coming soon" and the base connection page still showed glm-5.2. GLM_52 stays defined for that reason, and glm-4.7 remains the fast-response id rather than being promoted on assumption.

The same archetype generalizes: MiniMax, Moonshot/Kimi, DeepSeek and OpenRouter all expose Anthropic-compatible endpoints, so adding one is a ServiceConfig with a different base URL.

Exit Criteria

  • claude resolves on PATH and answers claude --version
  • ZAI_API_KEY is set, and --verify reports the service available rather than naming an unset variable
  • The built command contains no z.ai URL: the endpoint travels in the child environment, not argv
  • The child environment carries ANTHROPIC_AUTH_TOKEN, not ANTHROPIC_API_KEY
  • Output saved to delegations/glm/YYYYMMDD_HHMMSS.md
  • This skill ran because delegation-core selected glm

Signals

GitHub stars
337
Forks
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Last commit
Sep 2026
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Source
github.com/athola/claude-night-market