What is agenticflow-llm-models?

A tool for listing and comparing the language models available in an AgenticFlow AI workspace, based on their abilities, speed, cost, and reasoning depth.

It helps discover available models, filter them for a task, and recommend one for an agent or workforce node. It does not manage billing or bring-your-own API keys.

It helps choose a suitable model for an agent or workflow node without relying on an outdated hard-coded list. The workspace's current model list is treated as the source of truth.

agenticflow-llm-models — Skill for Claude Code and Codex by antongulin

Install

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.

Any agent

npx skills add antongulin/agenticflow-ai-skills --skill agenticflow-llm-models

Clone the repo

git clone --depth 1 https://github.com/antongulin/agenticflow-ai-skills

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/antongulin/agenticflow-ai-skills/agenticflow-llm-models/github.svg)](https://agentmods.dev/skills/antongulin/agenticflow-ai-skills/agenticflow-llm-models)

Your own site

<a href="https://agentmods.dev/skills/antongulin/agenticflow-ai-skills/agenticflow-llm-models"><img src="https://agentmods.dev/badge/skills/antongulin/agenticflow-ai-skills/agenticflow-llm-models/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/antongulin/agenticflow-ai-skills/agenticflow-llm-models"><img src="https://agentmods.dev/badge/skills/antongulin/agenticflow-ai-skills/agenticflow-llm-models.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,155 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00109	$0.02155
Opus 5.5	$0.00044	$0.00862
Sonnet 5.5	$0.00022	$0.00431
Haiku 4.5	$0.00011	$0.00215

Measured 2mo ago against content hash 576edd4f978f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agenticflow-llm-models 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 2mo 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.

skills/agenticflow-llm-models/SKILL.md · 197 lines

How it starts

The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Author: Anton Gulin · Tool: opencode-skill-creator · GitHub: @antongulin · Registry: skills.sh

AgenticFlow LLM Models

Choose the right model for your agent based on capability needs, speed requirements, and reasoning depth. Use built-in credits for all models listed here.

When NOT to use this skill

Use agenticflow-built-in-credits skill instead for pricing, credits, or billing questions. Use agenticflow-mcp skill if they need external API keys (BYOK). This skill covers model selection and capabilities, not account management or credit usage.

Orient first

af bootstrap --json

Extract models[] — this is the source of truth for available models in your workspace. Never hardcode model lists; they change between CLI releases and backend deployments. The models below are recommendations, but the live models[] array is the final authority.

Discover & health

af changelog --json           # What's new in the CLI — model additions/removals
af context --json              # AI agent orientation, env vars, invocation guidance
af bootstrap --strict --json   # Health check — exits non-zero if degraded

af bootstrap returns an invocation block and data_fresh boolean. If data_fresh: false, the backend is degraded — don't rely on stale model data from a degraded response. af bootstrap --strict exits non-zero when the backend is unhealthy, so CI/automation can abort before choosing models against a degraded workspace.

Verification rule: Before recommending any model, check models[] from af bootstrap --json. If a model is absent from that list, warn the user and fall back to a confirmed model.

Author's Top 3 Recommendations

These are the author's personal picks based on reliability, reasoning quality, and speed:

Rank	Model	Role	Why
1st	`deepseek-v4-flash`	Primary default	Best all-rounder — strong reasoning, reliable tool use, good speed. Replaces the older GLM 4.7 Flash default.
2nd	`gemini-2.5-flash-lite`	Fallback / media	Fastest option with media support. Use when speed matters more than reasoning depth.
3rd	`qwen-3.5-flash`	Deep verification	Deepest thinker — use when reasoning depth and verification matter most.

Read the full file on GitHub · 197 lines

Changes

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.

2mo ago First seen · 197 lines · 109 tokens per session scan A 576edd4f978f

Subscribe to this mod's changes

agenticflow-llm-models is a skill published in the GitHub repository antongulin/agenticflow-ai-skills (2 stars, last pushed 18d ago), licensed MIT. It adds 109 tokens to every session and 2,155 once invoked, about $0.0004 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 2026-08-31.

Building agents Data and AI

agenticflow-llm-models next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
agenticflow-llm-modelsantongulin/agenticflow-ai-skills	Skill	2	18d ago	MIT	A	109	Claude Code, Codex
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