SKILLEMALL.ai

BF semantic-spacetime

Model and analyze Semantic Spacetime (SST) graphs, distances, trajectories, drift, and model files. Do not use this skill for promise-theory vocabulary and fundamentals without SST modeling; use `promise-theory` for the substrate concepts.

magnus919/agent-skills Agent Skills author: magnus919 MIT 16 files · 2 scripts body ≈ 3 516 tokens Open the sourcegithub.com↗ analyzed 27 h ago

Model and analyze Semantic Spacetime (SST) graphs, distances, trajectories, drift, and model files.

As a process F 50/100 · Will not run — References files that are not bundled: ../promise-theory/SKILL.md, ../agent-evals-and-observability/SKILL.md, ../agent-council/SKILL.md

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
F
50/100
Will not run
References files that are not bundled: ../promise-theory/SKILL.md, ../agent-evals-and-observability/SKILL.md, ../agent-council/SKILL.md
Tools and files w 18
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • 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: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../promise-theory/SKILL.md
  • warning missing-ref reference to a missing file: ../agent-evals-and-observability/SKILL.md
  • warning missing-ref reference to a missing file: ../agent-council/SKILL.md
  • warning missing-ref reference to a missing file: ../workflow-architect/SKILL.md
  • warning missing-ref reference to a missing file: ../artifact-pyramids/SKILL.md
  • warning missing-ref reference to a missing file: ../agent-skills/SKILL.md
  • warning missing-ref reference to a missing file: ../cli-builder/SKILL.md
  • warning missing-ref reference to a missing file: templates/sst-model.yaml.tmpl
  • warning missing-ref reference to a missing file: templates/sst-analysis.md.tmpl

Process rating: all ten parameters 50/100

Will not run. References files that are not bundled: ../promise-theory/SKILL.md, ../agent-evals-and-observability/SKILL.md, ../agent-council/SKILL.md
  • 0Tools and files. 9 referenced file(s) missing: ../promise-theory/SKILL.md, ../agent-evals-and-observability/SKILL.md, ../agent-council/SKILL.md
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 7 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 50When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 31 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3516 tokens
  • low 10 top-level sections: this looks like several domains in one skill
  • medium 6 test cases, all positive: not one "should refuse" or "should ask first"

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
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 239: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 31 items
  • +4Has examples (0 code blocks)
  • +4Reference files are cited in the instructions (7 of 7)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.