Vibe-Skills is a collection and routing system that helps AI agents discover, select, and coordinate specialized skills for completing tasks. It is intended for agents that need to organize workflows across many installed capabilities. The catalogue entries are skills and an agent belonging to this system.
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 foryourhealth111-pixel/Vibe-Skills --skill openai-knowledgegit clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-SkillsWrote 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/foryourhealth111-pixel/vibe-skills/openai-knowledge)<a href="https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/openai-knowledge"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/openai-knowledge/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/foryourhealth111-pixel/vibe-skills/openai-knowledge"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/openai-knowledge.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 | $0.00031 | $0.00264 |
| Opus 5 | $0.00015 | $0.00132 |
| Sonnet 5 | $0.00006 | $0.00053 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
openai-knowledge 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 9d 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.
What it actually says
openai-knowledge (Compatibility Alias)
Purpose
Provide a stable compatibility alias for callers that still request
openai-knowledge, while canonical OpenAI documentation guidance is maintained
under the sibling openai-docs skill directory.
This preserves:
- existing route compatibility for
openai-knowledge skills-lockand catalog continuity for legacy callers- a thin alias surface instead of duplicated docs guidance payload
Resolution Order
- Use the canonical local
openai-docsskill payload first. - Reuse its canonical materials:
../openai-docs/SKILL.md../openai-docs/references/**../openai-docs/scripts/**
- Keep this alias directory thin and free of duplicated heavy payload.
Minimal Workflow
- Read
../openai-docs/SKILL.mdfor the full OpenAI docs workflow. - Use canonical references and scripts from
../openai-docs/. - Report under
openai-knowledgeonly when a caller explicitly requested this alias.
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.
- 9d ago First seen · 34 lines · 31 tokens per session scan A 41d63aafd093
openai-knowledge is a skill published in the GitHub repository foryourhealth111-pixel/Vibe-Skills (3,252 stars, last pushed 12d ago), licensed Apache-2.0. It adds 31 tokens to every session and 264 once invoked, about $0.0002 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 2026-09-03.
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