glm

glm is a command for Claude Code from sungmanch/claude-glm-agent. It costs 25 tokens per session (277 once invoked), scanned A, original, MIT.

A command that sends one question to the GLM language model and returns its answer. GLM is a separate AI model that can provide another viewpoint.

In plain words
What is it for?
Use it to ask for code analysis, a second opinion, or a quick answer from either the default model or the faster available model.
Why use it?
It gives you an independent response for cross-checking an answer or considering a different approach.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths.

Good fit Use it to ask for code analysis, a second opinion, or a quick answer from either the default model or the faster available model.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/sungmanch/claude-glm-agent/glm
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.

Clone the repo
git clone --depth 1 https://github.com/sungmanch/claude-glm-agent

Made for: Claude Code.

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 glm

README.md
[![agentmods](https://agentmods.dev/badge/commands/sungmanch/claude-glm-agent/glm/github.svg)](https://agentmods.dev/commands/sungmanch/claude-glm-agent/glm)
Your own site
<a href="https://agentmods.dev/commands/sungmanch/claude-glm-agent/glm"><img src="https://agentmods.dev/badge/commands/sungmanch/claude-glm-agent/glm/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 glm

Your own site · 80×15
<a href="https://agentmods.dev/commands/sungmanch/claude-glm-agent/glm"><img src="https://agentmods.dev/badge/commands/sungmanch/claude-glm-agent/glm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 277 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.
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 $0.00025 $0.00277
Opus 5.5 $0.00010 $0.00111
Sonnet 5.5 $0.00005 $0.00055
Haiku 4.5 $0.00003 $0.00028

Measured 2mo ago against content hash da51e57c5afb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

glm 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 2mo 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.

assets/commands/glm.md · 41 lines

What it actually says

GLM Single Call

Request: $ARGUMENTS

Execution Method

Call the GLM API using the command below:

~/.claude/plugins/local/claude-glm-agent/scripts/glm_call.sh "<question>" [model]

Available Models

Model Features
glm-4.7 Best performance (default)
glm-4.5-air Fast response, for simple tasks

Examples

# Default usage (GLM-4.7)
~/.claude/plugins/local/claude-glm-agent/scripts/glm_call.sh "Analyze this code"

# Using fast model
~/.claude/plugins/local/claude-glm-agent/scripts/glm_call.sh "Summarize briefly" "glm-4.5-air"

Instructions

  1. Pass the user's request ($ARGUMENTS) to GLM
  2. Deliver GLM's response directly to the user
  3. Provide comparison/analysis with Opus's perspective when needed
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. 2mo ago First seen · 41 lines · 25 tokens per session scan A da51e57c5afb

Subscribe to this mod's changes

glm is a command published in the GitHub repository sungmanch/claude-glm-agent (5 stars, last pushed 7mo ago), licensed MIT. It adds 25 tokens to every session and 277 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 2026-08-31.

Related

glm compared with commands from other repositories

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