ambient-bed

ambient-bed is an Audio, music & podcasts skill for AI agents, published by SummerEngine in the summer-engine-agent repository on GitHub. Skillspace rates ambient-bed C (72/100) and it passed the safety scan; the rating is based on static analysis only.

Use when generating a long looping location ambience — forest at dawn, dungeon air, city street, spaceship hum, cave drip. Non-melodic, low-energy, never draws attention. Wires as a looping AudioStreamPlayer on the Ambient bus with a marked seamless loop. Trigger on "ambient bed", "room tone", "background ambience", "forest ambience", "dungeon air", "make it sound like a cave".

Grade
C
Quality
72 / 100
Safety
Passed
GitHub stars
25

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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