Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/frankxai/claude-skills-librarynpx agentmods add skills/frankxai/claude-skills-library/oci-drawio-icon-nativeWrote 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/frankxai/claude-skills-library/oci-drawio-icon-native)<a href="https://agentmods.dev/skills/frankxai/claude-skills-library/oci-drawio-icon-native"><img src="https://agentmods.dev/badge/skills/frankxai/claude-skills-library/oci-drawio-icon-native/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/frankxai/claude-skills-library/oci-drawio-icon-native"><img src="https://agentmods.dev/badge/skills/frankxai/claude-skills-library/oci-drawio-icon-native.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 | $0.00052 | $0.00564 |
| Opus 5.5 | $0.00021 | $0.00226 |
| Sonnet 5.5 | $0.00010 | $0.00113 |
| Haiku 4.5 | $0.00005 | $0.00056 |
Grade A, and why
oci-drawio-icon-native 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 1mo 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
OCI Draw.io Icon-Native
Purpose
Produce OCI diagrams that render correctly everywhere by using embedded icon stencils, strict icon semantics, and automated integrity validation.
Workflow
- Generate or update the diagram from a trusted OCI source file.
- Enforce semantic icon mapping:
- Agent runtime roles use OCI
Agenticon. - Managed model endpoints use OCI
Generative AIicon.
- Agent runtime roles use OCI
- Keep connectors behind icon/label foreground.
- Run integrity validator before delivery.
Resources
- Oracle toolkit source:
drawio/OCI Style Guide for Drawio/OCI Architecture Diagram Toolkit v24.2.drawio - Example generator:
drawio/tools/build_agentic_rag_diagram.py - Integrity gate:
drawio/tools/validate_drawio_icon_integrity.py
Best Practices
- Never ship diagrams containing
shape=mxgraph.oci.*unless library loading is guaranteed. - Add white icon shields and readable label tiles where connectors pass nearby.
- Validate both visual quality and semantic correctness.
- Store architecture narrative with the diagram (design notes + flow steps).
Examples
python3 drawio/tools/build_agentic_rag_diagram.py \
--source drawio/KPN_RAG_Arch_ALL.drawio \
--icon-source "drawio/OCI Style Guide for Drawio/OCI Architecture Diagram Toolkit v24.2.drawio" \
--output drawio/KPN_RAG_Arch_ALL__with_Agentic_Excellence.drawio \
--standalone drawio/OCI_Agentic_RAG_Excellence_ICON_NATIVE_V2.drawio \
--diagram-name Agentic-RAG-Excellence-IconNative-v2
python3 drawio/tools/validate_drawio_icon_integrity.py \
--file drawio/KPN_RAG_Arch_ALL__with_Agentic_Excellence.drawio \
--diagram Agentic-RAG-Excellence-IconNative-v2
Expected validator signals:
mxgraph_oci_refs=0VALIDATION: PASS- stable
max_icon_group_spread_ratio(close to1.000)
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.
- 1mo ago First seen · 55 lines · 52 tokens per session scan A b9aa39e4e90d
oci-drawio-icon-native is a skill published in the GitHub repository frankxai/claude-skills-library (47 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 564 once invoked, about $0.0002 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 2026-09-03.
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