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.
npx skills add djerok/glm-mcp --skill glm-delegategit clone --depth 1 https://github.com/djerok/glm-mcpWrote 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.
[](https://agentmods.dev/skills/djerok/glm-mcp/glm-delegate)<a href="https://agentmods.dev/skills/djerok/glm-mcp/glm-delegate"><img src="https://agentmods.dev/badge/skills/djerok/glm-mcp/glm-delegate/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.
<a href="https://agentmods.dev/skills/djerok/glm-mcp/glm-delegate"><img src="https://agentmods.dev/badge/skills/djerok/glm-mcp/glm-delegate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00051 | $0.00188 |
| Opus 5 | $0.00026 | $0.00094 |
| Sonnet 5 | $0.00010 | $0.00038 |
| Haiku 4.5 | $0.00005 | $0.00019 |
Grade A, and why
glm-delegate 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 8d 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.
What it actually says
GLM delegation
Use mcp__glm__glm_agent for repository tasks and pass an absolute workdir. Use dry_run: true when the proposed patch needs review. Text-only work also goes through mcp__glm__glm_agent (no file edits needed; mcp__glm__glm_delegate is opt-in via GLM_DELEGATE=on). If uncertain, call mcp__glm__glm_recommend first.
Never send credentials, proprietary/security-sensitive material, screenshots, or user data to GLM. Report the returned GLM summary and verify important changes with normal project tests.
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.
- 8d ago First seen · 11 lines · 51 tokens per session scan A cb40f1445afc
glm-delegate is a skill published in the GitHub repository djerok/glm-mcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 188 once invoked, about $0.0003 per session on Opus 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.
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