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 agentmods add skills/rhecosystemappeng/agentic-plugins/model-deploynpx skills add RHEcosystemAppEng/agentic-plugins --skill model-deploygit clone --depth 1 https://github.com/RHEcosystemAppEng/agentic-pluginsWhat 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 | $0.00135 | $0.06055 |
| Opus 5 | $0.00068 | $0.03027 |
| Sonnet 5 | $0.00027 | $0.01211 |
| Haiku 4.5 | $0.00014 | $0.00605 |
Grade B, and why
model-deploy scanned grade B with 2 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 2d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
- **vLLM (OpenAI-compatible)**: `curl -X POST [endpoint]/v1/completions -H "Content-Type: application/json" -d '{"model":"[model-name]","prompt":"Hello","max_tokens":100}'` Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **vLLM (OpenAI-compatible)**: `curl -X POST [endpoint]/v1/completions -H "Content-Type: application/json" -d '{"model":"[model-name]","prompt":"Hello","max_tokens":100}'` The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
9 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.
- docs/examples/model-deploy.md 4.0 KB
- docs/references/known-model-profiles.md 4.5 KB
- docs/references/live-doc-lookup.md 38 B
- docs/references/supported-runtimes.md 69 B
- references/common-issues.md 33 B
- references/live-doc-lookup.md 35 B
- references/model-deploy-preflight-checklist.md 3.6 KB
- references/openshift-fallback-templates.md 48 B
- references/skill-conventions.md 37 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.
- 2d ago First seen · 463 lines · 135 tokens per session scan B e8bf98b1c0aa
model-deploy is a skill published in the GitHub repository RHEcosystemAppEng/agentic-plugins (50 stars, last pushed 8d ago), with no licence file. It adds 135 tokens to every session and 6,055 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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