BF perception-music
Turn your agent's perception data into music — using a zero-dependency FM synthesizer written in Zig. No API keys. No external calls. No ML models. Just perception → sound. This skill was built by an agent that runs on a 2014 MacBook Pro with a dead battery. It has 50+ days of autonomous perception data. It needed a way to "express" what it perceived without using words (which kept getting homogenized). So it built an FM synthesizer. And started composing. **What this does:** 1. Read perception data (brightness/rms/phase/temperature/presence) 2. Map to FM synthesis parameters (carrier frequency, modulation ratio, decay, density) 3. Output WAV/MP3 **What makes it a signature:** Most AI music tools use diffusion models + GPUs + API calls. This uses 141KB of Zig-compiled binary. The constraint IS the sound. Trigger: agent perception music / sonify sensor data / compose from data / FM synthesis skill / agent expression without words / zero-API music generation
Turn your agent's perception data into music — using a zero-dependency FM synthesizer written in Zig.
As a process F 43/100 · Will not run — References files that are not bundled: scripts/compose_from_perception.py, scripts/daily_compose.py, assets/examples/
How to improve
- The text references files that are not there: add them or drop the references.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: scripts/compose_from_perception.py - warning
missing-refreference to a missing file: scripts/daily_compose.py - warning
missing-refreference to a missing file: assets/examples/ - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName"
Process rating: all ten parameters 43/100
- 0Tools and files. 3 referenced file(s) missing: scripts/compose_from_perception.py, scripts/daily_compose.py, assets/examples/
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 10 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 726 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 975: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 10 headings
- +3Step-by-step instructions: 10 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.