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OpenAIKnown publisheropenai/community-plugins/plugins/grafana-observability/skills/monitor-iot-edge/SKILL.md

monitor-iot-edge

Skill18 starsChanged 2 months agoApache-2.0View on GitHub

Monitor reviewed Grafana telemetry and freshness evidence for IoT devices and edge fleets. Use for smart devices, home automation sensors, remote equipment, wind turbines, space hardware, device-fleet freshness, missing telemetry, and bounded edge-health comparisons.

The file

We split this skill into the rules it gives an agent

10 rules. About 0 are common, 3 are distinctive, and 7 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 7

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Run the fixed grafana.iot-edge pack for an enrolled device or fleet scope and preserve telemetry gaps explicitly.

    line 8
  2. Very specific:

    Use only grafana_profile_status, grafana_list_packs, grafana_run_pack, grafana_get_evidence, and grafana_resolve_link.

    line 12
  3. Distinctive:

    Never accept or construct provider queries, SQL, URLs, headers, datasource IDs, device identifiers, panel JSON, variables, or raw telemetry …

    line 14
  4. Distinctive:

    Do not send device commands, change sampling, restart equipment, edit Grafana, or mutate alerts or datasources.

    line 15
  5. Very specific:

    Call grafana_profile_status({profileAlias}).

    line 21
  6. Very specific:

    Call grafana_list_packs({profileAlias}) and require the exact active pack ID grafana.iot-edge.

    line 22
  7. Distinctive:

    Create one non-secret idempotency key and reuse it only for an exact retry.

    line 23
  8. Very specific:

    Call grafana_run_pack with that key, the aliases, packId: "grafana.iot-edge", origin, current window, and optional baseline window.

    line 24
  9. Very specific:

    Call grafana_get_evidence({reportRef,evidenceRef}) only for report-owned references needed to support a material device or fleet claim.

    line 26
  10. Very specific:

    Call grafana_resolve_link({reportRef,linkRef}) only for a same-report link reference that helps a human inspect the enrolled Grafana view.

    line 27

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Monitor IoT and Edge

Run the fixed grafana.iot-edge pack for an enrolled device or fleet scope and preserve telemetry gaps explicitly.

Safety contract

  • Use only grafana_profile_status, grafana_list_packs, grafana_run_pack, grafana_get_evidence, and grafana_resolve_link.
  • Accept only profile and scope aliases; one declared LIVE, REPLAY, or SIMULATED origin; bounded current and baseline windows; and opaque references returned by these tools.
  • Never accept or construct provider queries, SQL, URLs, headers, datasource IDs, device identifiers, panel JSON, variables, or raw telemetry requests.
  • Do not send device commands, change sampling, restart equipment, edit Grafana, or mutate alerts or datasources. This skill is observational only.
  • Confirm LIVE access. Never combine LIVE, REPLAY, and SIMULATED telemetry into one fleet claim.

Workflow

  1. Establish profileAlias, an enrolled device or fleet scopeAlias, origin, and a current window no longer than seven days. Use an equal-duration, non-overlapping baseline only when change analysis is needed.
  2. Call grafana_profile_status({profileAlias}). Stop on ERROR or blocked readiness; disclose PARTIAL readiness.
  3. Call grafana_list_packs({profileAlias}) and require the exact active pack ID grafana.iot-edge.
  4. Create one non-secret idempotency key and reuse it only for an exact retry.
  5. Call grafana_run_pack with that key, the aliases, packId: "grafana.iot-edge", origin, current window, and optional baseline window.
  6. Review telemetry first and device freshness second. Preserve returned timestamps, units, severity, direction, nulls, and fleet/device distinctions.
  7. Call grafana_get_evidence({reportRef,evidenceRef}) only for report-owned references needed to support a material device or fleet claim.
  8. Call grafana_resolve_link({reportRef,linkRef}) only for a same-report link reference that helps a human inspect the enrolled Grafana view. Never accept a URL as input.

A stale device is not necessarily offline, unsafe, or failed. An empty telemetry result is an evidence gap, not a zero measurement. Treat a freshness issue as rule-backed only when it has classification: SIGNED_RULE; treat classification: DEVIATION only as a deviation.

Interpret report status exactly

  • COMPLETE: expected telemetry and freshness evidence completed; evaluate the returned device and fleet signals.
  • EMPTY: no usable telemetry was returned; do not substitute zero values or declare devices healthy.
  • STALE: the latest evidence exceeds the reviewed freshness bound; state the age and affected scope.
  • PARTIAL: some devices, signals, or expected evidence are missing, failed, or mixed; avoid a fleet-wide conclusion.
  • CONTRADICTORY: telemetry conflicts; preserve the evidence references and withhold a single state claim.
  • ERROR: collection failed or was rejected; report the sanitized error and stop.

Completion format

Return scope, origin, windows, overall status, telemetry summary and freshness by returned scope with returned severity and direction, issues with their returned classification, gaps and contradictions, evidence references for material claims, and only successfully resolved report-owned links.

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