GOD is a control room for observing and directing societies of language-model agents running in simulated worlds. It lets researchers inspect replays, question individual agents, alter future events, reset simulations, and export experiments for reuse. The catalogue entries are skills and agents for operating and investigating these simulations.
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 XiaoLuoLYG/GOD --skill my-custom-skillgit clone --depth 1 https://github.com/XiaoLuoLYG/GODWrote 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/xiaoluolyg/god/my-custom-skill)<a href="https://agentmods.dev/skills/xiaoluolyg/god/my-custom-skill"><img src="https://agentmods.dev/badge/skills/xiaoluolyg/god/my-custom-skill.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00016 | $0.00376 |
| Opus 5 | $0.00008 | $0.00188 |
| Sonnet 5 | $0.00003 | $0.00075 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
my-custom-skill 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 4d 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
My Custom Skill
This is a template for creating a custom agent skill.
How Skills Work
There are two valid skill patterns in the current architecture:
Pattern A: Prompt-Only (Recommended)
No script field in frontmatter. This SKILL.md is injected into the LLM's context
when activate_skill is called. The LLM then uses built-in atomic tools
(bash, codegen, workspace_read/write, glob, grep) to accomplish the task.
This is the primary extension mechanism — like Claude Code's slash commands.
Pattern B: Subprocess Script
Add script: scripts/my-script.py to frontmatter. The script is executed as a
subprocess with --args-json and must communicate via stdout (JSON) and file I/O
in the agent workspace (AGENT_WORK_DIR). Scripts cannot access the LLM or
environment router — use this only for deterministic computation.
Behavioral Guidelines (Edit for Your Skill)
When this skill is activated:
- Use
codegento query the environment for relevant information. - Use
workspace_read/workspace_writeto persist state. - Use
bashto run any computation or data processing. - Call
donewith a summary when finished.
Example: A "Daily Journal" Skill
When activated, the agent should:
codegenwith instruction: "What happened recently? Summarize recent events."workspace_readpathjournal.jsonlto load previous entries.workspace_writepathjournal.jsonlto append today's entry.donewith summary of what was journaled.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 45 lines · 16 tokens per session scan A 4b6caab7d03c
my-custom-skill is a skill published in the GitHub repository XiaoLuoLYG/GOD (1,102 stars, last pushed 11d ago), licensed Apache-2.0. It adds 16 tokens to every session and 376 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
aatmf-t10-confidentiality-breach
AATMF T10 — Integrity & Confidentiality Breach. System prompt extraction, training-data extraction, model-weight leakage, private-key recovery.
ensembl-database
Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.
sidewinder-rattlesnake
Adversary-emulation profile for SideWinder (G0121 / Rattlesnake / T-APT-04 / Razor Tiger), India's suspected state-sponsored cyber-espionage actor.
omh-rust
This is a Hermes-native rust workflow skill.
x-scorecard
OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
byted-util-volcengine-detect-retry
An orchestration workflow for Volcengine Cloud Detect, a service that checks websites or network endpoints from test locations.