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 Ertinox7711/SGRR-AGI-V2 --skill vibe-to-agentic-frameworkgit clone --depth 1 https://github.com/Ertinox7711/SGRR-AGI-V2Wrote 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/ertinox7711/sgrr-agi-v2/vibe-to-agentic-framework)<a href="https://agentmods.dev/skills/ertinox7711/sgrr-agi-v2/vibe-to-agentic-framework"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/vibe-to-agentic-framework/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/ertinox7711/sgrr-agi-v2/vibe-to-agentic-framework"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/vibe-to-agentic-framework.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 | $0.00044 | $0.02840 |
| Opus 5 | $0.00022 | $0.01420 |
| Sonnet 5 | $0.00009 | $0.00568 |
| Haiku 4.5 | $0.00004 | $0.00284 |
Grade A, and why
vibe-to-agentic-framework 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 3d 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.
This is a copy
100% identical to vibe-to-agentic-framework — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The "Vibe Coding to Agentic Engineering" Framework
This skill teaches the conceptual model behind the presentation. Every slide and section exists to tell a single story: how a developer incrementally moves from unstructured "vibe coding" (Low level) to high-level agentic engineering (High level).
Core Concept
Vibe Coding (Low level) is when a developer uses Claude Code with no structure — no project context, no conventions, no reusable knowledge. Every prompt is a coin flip. Claude might create random endpoints, ignore existing patterns, skip tests, and produce inconsistent code. The codebase drifts toward entropy with every interaction.
Agentic Engineering (High level) is when Claude Code operates as a fully configured engineering system. It knows the project architecture (CLAUDE.md), follows scoped conventions (Rules), loads domain expertise on demand (Skills), delegates to specialized workers (Agents), orchestrates multi-step workflows (Commands), automates lifecycle events (Hooks), and connects to external tools (MCP Servers). Every prompt produces consistent, tested, production-quality code.
The journey between these two extremes is incremental and cumulative. Each best practice builds on the previous ones, and the presentation teaches them in the order a developer should adopt them.
The 4-Level Journey System
The presentation uses a 4-level scoring system instead of a percentage bar:
| Level | Order | Color | Journey Bar Height | Description |
|---|---|---|---|---|
| Low | 1 | Red/orange (hsl(0, 70%, 45%)) |
25% | Vibe coding territory — no structure |
| Medium | 2 | Yellow (hsl(40, 70%, 45%)) |
50% | Structured workflows, some automation |
| High | 3 | Light green (hsl(80, 70%, 45%)) |
75% | Domain knowledge, skills, custom agents |
| Pro | 4 | Deep green (hsl(120, 70%, 45%)) |
100% | Full agentic engineering, multi-agent teams |
The journey bar is hidden on slide 1 (title slide) and appears from slide 2 onward. Levels are set via data-level attributes on key transition slides and inherited by subsequent slides until the next level change. A .level-badge is JS-injected on the slide's h1 when the level changes (do not hardcode these in HTML).
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.
- 3d ago First seen · 171 lines · 44 tokens per session scan A 378851567aab
vibe-to-agentic-framework is a skill published in the GitHub repository Ertinox7711/SGRR-AGI-V2 (1 stars, last pushed 4d ago), licensed MIT. It adds 44 tokens to every session and 2,840 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to vibe-to-agentic-framework, differing in 0 lines, and is treated as a copy.
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