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 G1Joshi/Agent-Skills --skill prometheusgit clone --depth 1 https://github.com/G1Joshi/Agent-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/g1joshi/agent-skills/prometheus)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/prometheus"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/prometheus/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/g1joshi/agent-skills/prometheus"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/prometheus.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 | $0.00018 | $0.00371 |
| Opus 5 | $0.00009 | $0.00186 |
| Sonnet 5 | $0.00004 | $0.00074 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
prometheus 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
Prometheus
Prometheus is the cloud-native standard for metric collection. Prometheus 3.0 (2025) features a modern UI, Native Histograms, and direct OpenTelemetry (OTLP) ingestion.
When to Use
- Kubernetes: Standard monitoring stack (Prometheus Operator).
- White-box Monitoring: Measuring internal state (heap usage, request count) via endpoints.
- Alerting: Alertmanager handles de-duplication and routing to Slack/PagerDuty.
Quick Start
# prometheus.yml
global:
scrape_interval: 15s
scrape_configs:
- job_name: "node"
static_configs:
- targets: ["localhost:9100"]
Core Concepts
Time Series Format
Metrics are identified by name and label pairs.
http_requests_total{method="POST", handler="/api"}
PromQL
Powerful query language.
rate(http_requests_total[5m])
Pull Model
Prometheus scrapes targets. Apps do not push to Prometheus (usually).
Best Practices (2025)
Do:
- Use High-Cardinality wisely: Native Histograms in v3.0 help, but keep labels bounded.
- Use Service Monitors: In K8s, use the Operator's
ServiceMonitorCRD instead of manual config. - Use OTLP: Ingest OTel metrics directly if you are transitioning standards.
Don't:
- Don't use for logs: It is for metrics only. Use Loki for logs.
References
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 · 60 lines · 18 tokens per session scan A 376e8cd3d44b
prometheus is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 7mo ago), licensed MIT. It adds 18 tokens to every session and 371 once invoked, about $0.0001 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.
Other skills, from other repositories
shipping-and-launch
Prepares production launches. Use when preparing to deploy to production, or when asking what needs to be in place before shipping. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.
opa-policies
Write OPA/Gatekeeper and Kyverno admission policies for Kubernetes security guardrails.
cost-optimization
Identify and reduce cloud infrastructure costs — right-sizing, reserved capacity, waste detection, tagging for cost attribution.
drift-detection
Detect, classify, and automate Terraform drift detection in CI — scheduled plans, drift metrics, cloud-native audit log correlation.
dns-management
DNS management for Kubernetes — CoreDNS tuning, external-dns automation, split-horizon DNS, and bare-metal DNS design.
tls-termination
Configure TLS termination with cert-manager — Let's Encrypt, internal CA via Vault PKI, wildcard certs, mTLS between services.