Borrowing it
Nothing to install: this file belongs to romarayt/raytsystem-public-os. 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/romarayt/raytsystem-public-os/main/.agents/skills/graph/SKILL.mdgit clone --depth 1 https://github.com/romarayt/raytsystem-public-osWrote 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/romarayt/raytsystem-public-os/graph)<a href="https://agentmods.dev/skills/romarayt/raytsystem-public-os/graph"><img src="https://agentmods.dev/badge/skills/romarayt/raytsystem-public-os/graph.svg" alt="Measured on agentmods" 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 | $0.00046 | $0.00175 |
| Opus 5 | $0.00023 | $0.00088 |
| Sonnet 5 | $0.00009 | $0.00035 |
| Haiku 4.5 | $0.00005 | $0.00017 |
Grade A, and why
graph 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 8d 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
Bring the raytsystem code graph up to date so it reflects every current file. It writes only the
disposable .raytsystem/graph/ plane and never mutates canonical knowledge.
- Check freshness:
uv run raytsystem graph status --json. - Refresh:
uv run raytsystem graph update --json(incremental — handles changed and deleted files), oruv run raytsystem graph rebuild --jsonfor a full rebuild if the graph is missing. - Confirm
stateiscurrentand report the node/edge/file counts.
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.
- 8d ago First seen · 13 lines · 46 tokens per session scan A f55c0bbb8bce
graph is a skill published in the GitHub repository romarayt/raytsystem-public-os (141 stars, last pushed 5d ago), licensed Apache-2.0. It adds 46 tokens to every session and 175 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 2026-08-30.
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multi-agent-performance-profiling
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kubernetes-specialist
Use when managing Kubernetes clusters, debugging Pods and workloads, designing Helm charts, reviewing manifests, or improving deployment, scaling, and observability practices.