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 storj/claude-plugins --skill satellite-observabilitygit clone --depth 1 https://github.com/storj/claude-pluginsWrote 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/storj/claude-plugins/satellite-observability)<a href="https://agentmods.dev/skills/storj/claude-plugins/satellite-observability"><img src="https://agentmods.dev/badge/skills/storj/claude-plugins/satellite-observability/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/storj/claude-plugins/satellite-observability"><img src="https://agentmods.dev/badge/skills/storj/claude-plugins/satellite-observability.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 | $0.00094 | $0.03673 |
| Opus 5.5 | $0.00038 | $0.01469 |
| Sonnet 5.5 | $0.00019 | $0.00735 |
| Haiku 4.5 | $0.00009 | $0.00367 |
Grade A, and why
satellite-observability 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 11d 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 — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Observing production satellites
Facts verified 2026-10-09. Observability infra is being migrated; if a datasource below fails,
run list_datasources once and say what changed in your report.
What exists (and what does not)
| Signal | Status | Where |
|---|---|---|
| App metrics (monkit) | Yes, all prod regions | VictoriaMetrics ffqrvx0pyhp8gf (Grafana default) |
| k8s pod metrics | Yes | same datasource |
| Prod satellite logs | Yes (most peers) | ClickHouse otel.otel_logs via cfqvdb4b1y96oa — see Logs below |
| Traces / profiles | No satellite data in Tempo/Pyroscope | live pprof via satellite-debug-port skill |
| Eventkit events | Not in Grafana | ClickHouse warehouse (if you have access) |
| Prod config, version | git | satellite-infra skill |
| Live process state | debug port: /mon/stats, /debug/pprof, /metrics |
satellite-debug-port skill |
Logs (ClickHouse otel.otel_logs)
Prod satellite logs are in ClickHouse, table otel.otel_logs, through the Grafana datasource
cfqvdb4b1y96oa (grafana-clickhouse-datasource). They are not in VictoriaLogs. Human view:
dashboard otel-logs-explorer (https://grafana.storj.tools/d/otel-logs-explorer). Verified 2026-10-09:
all four regions, near real time, about 9 days of retention (oldest rows on 2026-10-09 were from 2026-09-30).
Run SQL through the Grafana API (read-only SELECT):
grafana_api_request POST /api/ds/query
{"from":"now-1h","to":"now","queries":[{"refId":"A","format":1,
"datasource":{"uid":"cfqvdb4b1y96oa","type":"grafana-clickhouse-datasource"},
"rawSql":"SELECT ..."}]}
jq: .results.A.frames[0].data.values
Tip: build one string column with concat(...) and read .values[0] — easier than many columns.
Columns that matter:
Timestamp— always filter on it first (huge table: us1 alone is millions of lines per hour).ResourceAttributes['environment_name']—storj-prod-satellite-us1etc.`__otel_materialized_k8s.namespace.name`,`__otel_materialized_k8s.pod.name`,`__otel_materialized_k8s.container.name`(=satellitefor the app container). Use these materialized columns, not the map, for speed. Pod name =<app>-<hash>-<id>, so filter a peer withpod.name LIKE 'satellite-api-%'.ResourceAttributes['server_name']— the host (bare-metal repairers have no k8s fields).Body— the line.SeverityText,ServiceName,ScopeNameare empty for satellite logs.
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.
- 11d ago First seen · 193 lines · 94 tokens per session scan A c1ffe611dcf8
satellite-observability is a skill published in the GitHub repository storj/claude-plugins (3 stars, last pushed 9d ago), licensed MIT. It adds 94 tokens to every session and 3,673 once invoked, about $0.0004 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 2026-10-10.
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