Borrowing it
Nothing to install: this file belongs to arunanksharan/claude-forge. 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/arunanksharan/claude-forge/main/.claude/skills/wire-otel-prom-grafana/SKILL.mdgit clone --depth 1 https://github.com/arunanksharan/claude-forgeWrote 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/arunanksharan/claude-forge/wire-otel-prom-grafana)<a href="https://agentmods.dev/skills/arunanksharan/claude-forge/wire-otel-prom-grafana"><img src="https://agentmods.dev/badge/skills/arunanksharan/claude-forge/wire-otel-prom-grafana/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/arunanksharan/claude-forge/wire-otel-prom-grafana"><img src="https://agentmods.dev/badge/skills/arunanksharan/claude-forge/wire-otel-prom-grafana.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 | $0.00082 | $0.00547 |
| Opus 5.5 | $0.00033 | $0.00219 |
| Sonnet 5.5 | $0.00016 | $0.00109 |
| Haiku 4.5 | $0.00008 | $0.00055 |
Grade A, and why
wire-otel-prom-grafana 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 2mo 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
Wire OpenTelemetry + Prometheus + Grafana + Tempo + Loki (claudeforge)
Follow observability/02-prometheus-grafana.md (or 01-signoz-opentelemetry.md if user prefers SigNoz). Steps:
- Confirm with user:
- Stack: SigNoz (all-in-one) or PG+T+L (modular)?
- Self-hosted or hosted (Grafana Cloud)?
- Existing infrastructure?
- Set up the observability stack (if self-hosted):
- Use the
docker-compose.observability.ymlfrom02-prometheus-grafana.mdas the starting point - Configure Prometheus, Tempo, Loki, OTel Collector, Grafana with provisioning
- Use the
- Instrument the app:
- Python (FastAPI):
opentelemetry-distro+ auto-instrument:opentelemetry-bootstrap -a install+setup_telemetry()in app startup - Node:
@opentelemetry/sdk-node+auto-instrumentations-node,import './telemetry'first in main.ts - Add custom metrics for business KPIs (orders, signups, etc.)
- Python (FastAPI):
- Configure Grafana:
- Provision data sources (Prom, Tempo, Loki) via files in
grafana/provisioning/datasources/ - Provision starter dashboards (Node Exporter Full, framework-specific dashboards from grafana.com)
- Set up alert rules in Prometheus + Alertmanager → Slack/PagerDuty
- Provision data sources (Prom, Tempo, Loki) via files in
- Verify:
- App's
/metricsendpoint reachable from Prometheus - Traces appear in Tempo via Grafana's Explore tab
- Logs in Loki searchable by service
- One end-to-end trace: HTTP request → DB query span → linked log
- App's
- Set SLOs: define
error rate < 1%,p99 latency < 500msetc. as recording rules + alerts.
Don't put high-cardinality labels (user_id, request_id) on metrics — explodes Prometheus. Use trace attributes for that.
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.
- 2mo ago First seen · 33 lines · 82 tokens per session scan A a6208ec27eaa
wire-otel-prom-grafana is a skill published in the GitHub repository arunanksharan/claude-forge (2 stars, last pushed 6mo ago), licensed Unlicense. It adds 82 tokens to every session and 547 once invoked, about $0.0003 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 2026-08-31.
wire-otel-prom-grafana compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| wire-otel-prom-grafanaarunanksharan/claude-forge | Skill | 2 | 6mo ago | Unlicense | A | 82 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |