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 wangke19/gemini-ai-helpers --skill generating-ovn-topologygit clone --depth 1 https://github.com/wangke19/gemini-ai-helpersWrote 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/wangke19/gemini-ai-helpers/generating-ovn-topology)<a href="https://agentmods.dev/skills/wangke19/gemini-ai-helpers/generating-ovn-topology"><img src="https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/generating-ovn-topology/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/wangke19/gemini-ai-helpers/generating-ovn-topology"><img src="https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/generating-ovn-topology.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 | $0.00033 | $0.05402 |
| Opus 5 | $0.00016 | $0.02701 |
| Sonnet 5 | $0.00007 | $0.01080 |
| Haiku 4.5 | $0.00003 | $0.00540 |
Grade A, and why
generating-ovn-topology 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.
How it starts
The opening of the file, as written. The whole thing — 403 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quick Start - OVN Topology Generation
IMMEDIATE ACTIONS (follow these steps in order):
-
Detect Cluster: Find the OVN-Kubernetes cluster kubeconfig
Run:
scripts/detect-cluster.sh 2>/dev/nullThe script discovers OVN-Kubernetes clusters:
- Scans all kubeconfig files: current KUBECONFIG env, ~/.kube/kind-config, ~/ovn.conf, ~/.kube/config
- Tests ALL contexts in each kubeconfig (not just current-context)
- Returns parseable list to stdout:
index|kubeconfig|cluster_name|node_count|namespace - Diagnostics go to stderr
- Exit code: 0=success, 1=no clusters found
How to handle the output:
The script returns pipe-delimited lines to stdout, one per cluster found, e.g.:
1|/home/user/.kube/kind-config|kind-ovn|3|ovn-kubernetes 2|/home/user/.kube/config|prod-cluster|12|openshift-ovn-kubernetesDecision logic:
- If one cluster found → automatically use it (extract kubeconfig path from column 2)
- If multiple clusters found → show the list to user and ask them to choose by number
- After selection, extract the kubeconfig path from column 2 of the chosen line
- Store the selected kubeconfig path in variable
KCfor use in subsequent steps
Example output format parsing:
- Column 1: Index number (for user selection)
- Column 2: Kubeconfig file path (this is what you need for
$KC) - Column 3: Cluster display name
- Column 4: Number of nodes
- Column 5: OVN namespace name
Important: Parse the output using standard text processing. The exact implementation is up to you - use whatever approach works best (awk, Python, inline parsing, etc.).
-
Check Permissions: Verify user's Kubernetes access level and inform about write permissions
Run:
scripts/check_permissions.py "$KC"The script returns:
- Exit 0: Read-only access or user confirmed → proceed
- Exit 1: Error or user cancelled → stop
- Exit 2: Write permissions detected → AI must ask user for confirmation
When exit code 2 is returned:
- Parse the stdout to get the list of write permissions
- Display the permissions clearly to the user using a formatted message
- Explain that:
- This skill performs ONLY read-only operations
- No cluster modifications will be made
- The warning is for transparency about their access level
- List read-only operations: kubectl get, kubectl exec (ovn-nbctl list), local file writes
- List forbidden operations: kubectl create/delete/patch, ovn-nbctl modifications
- Ask the user explicitly: "You have cluster admin permissions. This command will only perform read-only operations. Do you want to proceed?"
- If user says yes → continue, if no → stop
Example of proper user communication:
⚠️ WARNING: Write Permissions Detected Your kubeconfig has cluster admin permissions: • Delete pods, deployments, services • Create and modify resources • Full cluster access 📋 IMPORTANT: This command will ONLY perform read-only operations: ✅ kubectl get (pods, nodes) ✅ kubectl exec (to run read-only ovn-nbctl list commands) ✅ Local file writes (topology diagram) Operations that will NEVER be performed: ❌ kubectl create/delete/patch/apply ❌ ovn-nbctl modifications ❌ Any cluster state changes Do you want to proceed with read-only topology generation?Security Note: This step ensures informed consent. The user must be explicitly aware that their cluster admin credentials are accessible to the AI agent (acting on their behalf), even though only read-only operations will be performed. This transparency is critical for security and trust.
-
Check Output File: Ask user if
ovn-topology-diagram.mdexists:- (1) Overwrite, (2) Custom path, (3) Timestamp, (4) Cancel
-
Create Private Temp Directory: Create a private temporary directory using
mkdtempand use it for all temporary files.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 403 lines · 33 tokens per session scan E d56a442710e3
generating-ovn-topology is a skill published in the GitHub repository wangke19/gemini-ai-helpers (2 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 5,402 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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