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 Modellix/modellix-plugin --skill modellix-designgit clone --depth 1 https://github.com/Modellix/modellix-pluginWrote 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/modellix/modellix-plugin/modellix-design)<a href="https://agentmods.dev/skills/modellix/modellix-plugin/modellix-design"><img src="https://agentmods.dev/badge/skills/modellix/modellix-plugin/modellix-design/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/modellix/modellix-plugin/modellix-design"><img src="https://agentmods.dev/badge/skills/modellix/modellix-plugin/modellix-design.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 | $0.00172 | $0.03831 |
| Opus 5.5 | $0.00069 | $0.01532 |
| Sonnet 5.5 | $0.00034 | $0.00766 |
| Haiku 4.5 | $0.00017 | $0.00383 |
Grade A, and why
modellix-design scanned grade A with 1 finding 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 yesterday.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
If download fails with `Resource host resolves to a private or reserved network address` (common when a local proxy/VPN maps CDN hosts like `file.modellix.ai` into `198.18.0.0/15`), retry with `--allow-private-network` f How it starts
The opening of the file, as written. The whole thing — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Modellix Skill
Modellix is a Model-as-a-Service (MaaS) platform for asynchronous image, video, and audio workflows. Prefer the official CLI (modellix-cli) so submit, wait, and download stay one coherent workflow. Host-specific persistent session guardrails also ship under rules/*.mdc.
Official Docs
- AI Onboarding: https://docs.modellix.ai/get-started.md
- REST API: https://docs.modellix.ai/ways-to-use/api.md
- Full Models Index: https://docs.modellix.ai/llms.txt
- Docs MCP (search / read docs): https://docs.modellix.ai/mcp
- CLI package (source of truth for CLI behavior): https://www.npmjs.com/package/modellix-cli
Documentation lookup policy
This plugin may expose the Modellix Docs MCP (.mcp.json → https://docs.modellix.ai/mcp). It is a read-only documentation server (search_modellix, docs filesystem query, optional feedback). It does not submit generation tasks, poll, download, or handle API keys.
When looking up product/API/install docs vs request-body schema:
- For request/response schema, use
modellix-cli model get-schema <slug>(JSON is the default; the endpoint is public and needs no API key). If CLI is unavailable, use Docs MCP, thendocs_urlfrommodel describeor https://docs.modellix.ai/llms.txt. - For product/install narrative, prefer Docs MCP when the host has it connected (search, then read the matching page). Else use
model describe <slug> --json→docs_url, or browsellms.txtand fetch the model.md. - For CLI command syntax and flags, prefer this skill,
references/cli-playbook.md, the npm README, ormodellix-cli --help— do not trust website CLI pages over the CLI package (docs can lag).
If the Docs MCP exposes a skill resource, treat this SKILL.md as the execution policy source of truth (CLI-first, defaults, paid-submit safety).
Do not rely on the website CLI guide page for command syntax.
Execution Policy (CLI-first)
Choose the path in this order:
- CLI after
scripts/preflight.py --jsonresolves it. Preflight checks public npmlatest, installs only a newer exact version before execution, and keeps an existing CLI when update infrastructure is unavailable. - REST only when CLI is not installed, unsuitable, or missing a needed capability.
- Prefer machine-readable output (
--jsonor--quiet) for automation.
What ships with it
12 files 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.
- assets/output/task-result.schema.json 1.4 KB
- evals/evals.json 6.9 KB
- references/capability-matrix.md 3.6 KB
- references/cli-playbook.md 9.2 KB
- references/rest-playbook.md 4.6 KB
- scripts/clean_build_artifacts.py 1.2 KB runs code
- scripts/cli_runtime.py 12 KB runs code
- scripts/http_deadline.py 4.7 KB runs code
- scripts/invoke_and_poll.py 15 KB runs code
- scripts/preflight.py 5.8 KB runs code
- scripts/README.md 2.6 KB
- skill.json 486 B
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.
- yesterday Changed · +4 lines 9e79e8c7dda8
- 1mo ago First seen · 315 lines · 172 tokens per session scan A 2714e53ea263
modellix-design is a skill published in the GitHub repository Modellix/modellix-plugin (1 stars, last pushed 2d ago), licensed MIT. It adds 172 tokens to every session and 3,831 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-16.
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