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 agentmods add skills/stacklok/toolhive/deploy-otelnpx skills add stacklok/toolhive --skill deploy-otelgit clone --depth 1 https://github.com/stacklok/toolhiveWhat 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 | $0.00050 | $0.01127 |
| Opus 5 | $0.00025 | $0.00563 |
| Sonnet 5 | $0.00010 | $0.00225 |
| Haiku 4.5 | $0.00005 | $0.00113 |
Grade A, and why
deploy-otel scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- deploy-otel — 91% identical, 15 lines differ
How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deploy OTEL Observability Stack
Deploy a complete OpenTelemetry observability stack to a Kind cluster for testing ToolHives telemetry capabilities.
Steps
1. Verify Prerequisites
Check that required tools are installed:
echo "Checking prerequisites..."
command -v kind >/dev/null 2>&1 || { echo "ERROR: kind is not installed"; exit 1; }
command -v helm >/dev/null 2>&1 || { echo "ERROR: helm is not installed"; exit 1; }
command -v kubectl >/dev/null 2>&1 || { echo "ERROR: kubectl is not installed"; exit 1; }
echo "All prerequisites met."
2. Create Kind Cluster
Create the Kind cluster if it doesn't exist:
CLUSTER_NAME="toolhive"
if kind get clusters 2>/dev/null | grep -q "^${CLUSTER_NAME}$"; then
echo "Kind cluster '${CLUSTER_NAME}' already exists"
else
echo "Creating Kind cluster '${CLUSTER_NAME}'..."
kind create cluster --name ${CLUSTER_NAME}
fi
# Export kubeconfig
kind get kubeconfig --name ${CLUSTER_NAME} > kconfig.yaml
echo "Kubeconfig written to kconfig.yaml"
3. Add Helm Repositories
echo "Adding Helm repositories..."
helm repo add open-telemetry https://open-telemetry.github.io/opentelemetry-helm-charts
helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
helm repo add grafana https://grafana.github.io/helm-charts
helm repo update
echo "Helm repositories updated."
4. Install Prometheus/Grafana Stack
echo "Installing kube-prometheus-stack..."
helm upgrade -i kube-prometheus-stack prometheus-community/kube-prometheus-stack \
-f examples/otel/prometheus-stack-values.yaml \
-n monitoring --create-namespace \
--kubeconfig kconfig.yaml \
--wait --timeout 5m
echo "Prometheus/Grafana stack installed."
5. Install Tempo for Distributed Tracing
echo "Installing Grafana Tempo..."
helm upgrade -i tempo grafana/tempo \
-f examples/otel/tempo-values.yaml \
-n monitoring \
--kubeconfig kconfig.yaml \
--wait --timeout 3m
echo "Grafana Tempo installed."
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.
- 2d ago First seen · 156 lines · 50 tokens per session scan A 1200be0b6678
deploy-otel is a skill published in the GitHub repository stacklok/toolhive (2,056 stars, last pushed yesterday), licensed Apache-2.0. It adds 50 tokens to every session and 1,127 once invoked, about $0.0003 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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