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 fakoli/fakoli-plugins --skill gws-modelarmor-create-templategit clone --depth 1 https://github.com/fakoli/fakoli-pluginsWrote 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/fakoli/fakoli-plugins/gws-modelarmor-create-template)<a href="https://agentmods.dev/skills/fakoli/fakoli-plugins/gws-modelarmor-create-template"><img src="https://agentmods.dev/badge/skills/fakoli/fakoli-plugins/gws-modelarmor-create-template/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/fakoli/fakoli-plugins/gws-modelarmor-create-template"><img src="https://agentmods.dev/badge/skills/fakoli/fakoli-plugins/gws-modelarmor-create-template.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 | $0.00018 | $0.00367 |
| Opus 5.5 | $0.00007 | $0.00147 |
| Sonnet 5.5 | $0.00004 | $0.00073 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
gws-modelarmor-create-template 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 1mo 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
modelarmor +create-template
Reference: See the
gws-sharedskill for auth, global flags, and security rules.
Create a new Model Armor template
Usage
gws modelarmor +create-template --project <PROJECT> --location <LOCATION> --template-id <ID>
Flags
| Flag | Required | Default | Description |
|---|---|---|---|
--project |
✓ | — | GCP project ID |
--location |
✓ | — | GCP location (e.g. us-central1) |
--template-id |
✓ | — | Template ID to create |
--preset |
— | — | Use a preset template: jailbreak |
--json |
— | — | JSON body for the template configuration (overrides --preset) |
Examples
gws modelarmor +create-template --project P --location us-central1 --template-id my-tmpl --preset jailbreak
gws modelarmor +create-template --project P --location us-central1 --template-id my-tmpl --json '{...}'
Tips
- Defaults to the jailbreak preset if neither --preset nor --json is given.
- Use the resulting template name with +sanitize-prompt and +sanitize-response.
[!CAUTION] This is a write command — confirm with the user before executing.
See Also
- gws-shared — Global flags and auth
- gws-modelarmor — All filter user-generated content for safety commands
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.
- 1mo ago First seen · 47 lines · 18 tokens per session scan A b13932ccc6e8
gws-modelarmor-create-template is a skill published in the GitHub repository fakoli/fakoli-plugins (4 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 367 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 2026-09-03.
Other skills, from other repositories
llm-app-development
LLM app development with RAG, prompt engineering, vector databases, and AI agents.
ai-prompting-basics
A practical guide to writing clearer requests for Claude, an AI assistant, by adding context, examples, roles, and output rules.
partner-anthropic
Anthropic intelligence — Claude model family, Claude Code, MCP protocol, Claude for Work programs, May 2026 state, Frank's relationship state, integration patterns. Use when generating Anthropic content, writing about Claude/MCP/Claude Code, partnership-conversation prep for Anthropic, or evaluating new Anthropic…
prompt-hub
Compose the 13-agent Prompt Hub team via @prompt-conductor. Use when designing prompts, optimizing prompts, evaluating prompts, importing patterns from Fabric / awesome-chatgpt-prompts / awesome-claude-prompts, running IFS introspection or psychometric profiling, or building knowledge-base prompt sets. Auto-trigger on…
lyra
Transform vague inputs into precision-optimized AI prompts for Claude, ChatGPT, Gemini, or other LLMs. Use when user mentions "optimize prompt", "improve prompt", "lyra", "prompt engineering", or needs help crafting effective AI prompts.
cost-aware-llm-pipeline
Pick the smallest model that can finish the task, and record the class of work. Use when routing a search, a multi-file edit, or an architecture review, or when a weekly model cap is close.