What is agenticflow-built-in-credits?

A skill for buying and managing AgenticFlow’s prepaid credits, which pay for runs by its agents and workforces.

Use it to check available models and agents, choose a plan, set up payment, buy credits, configure auto-recharge, and review usage by day, user, or agent.

It keeps credit purchases, payment setup, receipts, plans, automatic top-ups, and usage in one workflow. It is intended for people using their existing AgenticFlow balance before adding external API keys.

agenticflow-built-in-credits — Skill 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-built-in-credits

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-built-in-credits/github.svg)](https://agentmods.dev/skills/antongulin/agenticflow-ai-skills/agenticflow-built-in-credits)

Your own site

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

Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,879 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	$0.00081	$0.03879
Opus 5.5	$0.00032	$0.01552
Sonnet 5.5	$0.00016	$0.00776
Haiku 4.5	$0.00008	$0.00388

Measured 2mo ago against content hash 41a0fc93e8f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agenticflow-built-in-credits 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-built-in-credits/SKILL.md · 432 lines

How it starts

The opening of the file, as written. The whole thing — 432 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: Credits-First Approach

Primary Philosophy: Use your existing account credits with built-in features
Extension Path: BYOK (Bring Your Own Key) only if unsatisfied or explicitly requested
Goal: Spend your available credits first, upgrade only when needed

When NOT to use this skill

If the user explicitly wants to use external API keys (BYOK) like DALL-E, Stable Diffusion, or OpenAI, use agenticflow-mcp skill instead. If they need specific model recommendations or want to compare available models, use agenticflow-llm-models skill. This skill is for users who want to maximize their existing account credits first.

Orient first

af bootstrap --json

From the response, extract:

auth.workspace_id — your workspace identifier
models[] — available models that consume credits (source of truth, don't hardcode)
agents[] — existing agents to avoid duplication
_links.workspace — surface this URL to the user right away: "Your workspace is at <_links.workspace> — open it anytime to see what I'm building."

If data_fresh: false in the response, the backend is degraded — do not mutate. Fix auth/network before proceeding.

Discovery & health

af changelog --json           # What's new in the CLI — check for credit changes
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 telling you the correct CLI binary to use. af bootstrap --strict exits non-zero when the backend is unhealthy, so CI/automation can abort before mutating against a degraded workspace.

Primary Philosophy: Credits-First

Read the full file on GitHub · 432 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 · 432 lines · 81 tokens per session scan A 41a0fc93e8f9

Subscribe to this mod's changes

agenticflow-built-in-credits is a skill published in the GitHub repository antongulin/agenticflow-ai-skills (2 stars, last pushed 18d ago), licensed MIT. It adds 81 tokens to every session and 3,879 once invoked, about $0.0003 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.

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