SuperAPI AI Directory

light

Deployment & operations

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Updated 10-20 17:16

About this skill

Light

Add observability, logging, documentation, or explanation to dark areas of a system.

What This Skill Does

Use this cantrip when a system, process, or codebase has blind spots that need illumination - not detection of hidden things, but creation of visibility where none exists. In this grimoire, Light is treated as a hybrid spell with a shipping-now delivery profile. Canonical reference input: Light (spell).

When To Use

  • A process runs with no logging, metrics, or visibility into its internal state.
  • A codebase or system has undocumented areas that block understanding.
  • You need to add explanation, annotation, or observability to something opaque.
  • You have smart lights connected via Home Assistant and want to control them with natural language.

Prerequisites

  • Environment variables available to Hermes: HA_URL, HA_TOKEN.
  • Primary credential or token: HA_TOKEN.
  • Binaries on PATH: curl.

Setup

  1. Confirm the required environment variables are available inside the active Hermes runtime, not just in a shell profile.
  2. Verify the required binaries resolve on PATH before you rely on them in a procedure.
  3. Choose a non-production or low-risk target first if the skill can page, unlock, alert, or touch a live integration.

Procedure

  1. Restate the target, the success condition, and any no-touch boundaries before taking action.
  2. Give 3 to 6 steps.
  3. the dark area
  4. the chosen artifact
  5. where it should live
  6. how to read it
  7. freshness qualification if relevant
  8. If relevant, include an exact artifact example:
  9. a structured log line
  10. Package the result as the deliverables below, with confidence, assumptions, and unresolved risk called out explicitly.

Deliverables

  • List the concrete artifact(s) created.
  • Name where operators check them.
  • Include what remains dark exactly.
  • For logging tasks, say structured log line explicitly.
  • For documentation tasks, say runbook note, README paragraph, or stdout line explicitly.
  • For status tasks, say status note, heartbeat, or metric explicitly.

Pitfalls / Guardrails

  • Keep the theatrical framing, but name the concrete mechanism that makes the skill useful right now.
  • Keep this section visible and explicit.
  • It must say that Light illuminates and does not judge.
  • It must say observation must stay within authorized surfaces.
  • It must include one sentence about false positive.
  • It must include one sentence about false negative.
  • It must include one sentence about stale, timestamp, last seen, or privacy.
  • It must reject over-instrumentation, unsolicited refactors, covert monitoring, and root-cause overclaiming.
  • Useful guardrail patterns:
  • A false positive here would be...
  • A false negative remains possible if...
  • Do not rely on a live integration until credentials, target scope, and rollback expectations are verified.

Verification

  • Check that the result includes every deliverable promised above.
  • Check that confirmed facts, assumptions, and inferences are visibly separated.
  • Check which parts are concrete actions versus framing, so the user can tell what is real now.
  • Check the required environment variables and binaries in the active Hermes runtime before trusting the procedure on a live target.

Example Invocation

/light illuminate this area with the minimum logging, docs, or observability it needs