Borrowing it
Nothing to install: this file belongs to dfirtnt/Huntable-CTI-Studio. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dfirtnt/Huntable-CTI-Studio/main/.claude/skills/add-cloud-model/SKILL.mdgit clone --depth 1 https://github.com/dfirtnt/Huntable-CTI-StudioWrote 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/dfirtnt/huntable-cti-studio/add-cloud-model)<a href="https://agentmods.dev/skills/dfirtnt/huntable-cti-studio/add-cloud-model"><img src="https://agentmods.dev/badge/skills/dfirtnt/huntable-cti-studio/add-cloud-model/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/dfirtnt/huntable-cti-studio/add-cloud-model"><img src="https://agentmods.dev/badge/skills/dfirtnt/huntable-cti-studio/add-cloud-model.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00114 | $0.01698 |
| Opus 5 | $0.00057 | $0.00849 |
| Sonnet 5 | $0.00023 | $0.00340 |
| Haiku 4.5 | $0.00011 | $0.00170 |
Grade A, and why
add-cloud-model 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Add Cloud Model
This skill registers a new OpenAI or Anthropic model so it shows up in the Workflow agent configuration dropdowns.
How the model list reaches the UI
The dropdown is built from config/provider_model_catalog.json. Every time load_catalog()
runs (on each page load), it applies filters before returning the list:
- OpenAI: strips dated snapshots, non-chat models (audio/TTS/image/realtime/codex), then
further narrows to an explicit project allowlist. Only models in the allowlist or matching
gpt-5*appear in the dropdown. - Anthropic: keeps one representative per model family — bare name preferred over
-latestpreferred over dated snapshot.
Important: When you save an API key in the Settings page, the app fetches the live model
list from the provider's API and overwrites config/provider_model_catalog.json. The same
filters run during that write. So:
- A manually-added OpenAI model that OpenAI's API doesn't return will be removed on next save.
- The allowlist is the durable gate — models in the allowlist survive refreshes because they're also returned by the API.
- Anthropic models behave the same way: survive if the API returns them, removed if not.
Quick decision guide
Adding an OpenAI model:
| Model type | Files to change |
|---|---|
Any gpt-5* variant |
Catalog JSON + fallback catalog + context tokens (3 files) |
o-series, gpt-4x, or anything else |
Same 3 files + allowlist (4 files) |
| Reasoning model (no temperature support) | Same as above + reasoning prefixes (4-5 files) |
Adding an Anthropic model:
Always: catalog JSON + fallback catalog + context tokens (3 files). The family deduplication filter runs automatically — no extra code needed.
Step 1 — Add to the live catalog
File: config/provider_model_catalog.json
Add the model ID string to the correct provider array. Keep it sorted.
{
"openai": [
"gpt-4.1",
"gpt-4.1-mini",
"new-model-id-here",
...
],
"anthropic": [
"claude-sonnet-4-6",
"new-model-id-here",
...
]
}
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.
- 11d ago First seen · 193 lines · 114 tokens per session scan A 8da7411ddc80
add-cloud-model is a skill published in the GitHub repository dfirtnt/Huntable-CTI-Studio (11 stars, last pushed 3d ago), licensed MIT. It adds 114 tokens to every session and 1,698 once invoked, about $0.0006 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 2026-08-30.
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