BF Skill Distiller (One-Liner)
Skill compression reminder in 100 tokens — just trigger, action, result.
As a process F 13/100 · Will not run — References files that are not bundled: ../compressed/, ../SKILL.reference.md
How to improve
- The text references files that are not there: add them or drop the references.
For the model run — optional
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
missing-refreference to a missing file: ../compressed/ - warning
missing-refreference to a missing file: ../SKILL.reference.md - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "repository" - note
frontmatter-keyunknown frontmatter key "emoji"
Process rating: all ten parameters 13/100
Will not run. References files that are not bundled: ../compressed/, ../SKILL.reference.md
- 0Tools and files. 2 referenced file(s) missing: ../compressed/, ../SKILL.reference.md
- 0Steps. Prose only: no discrete steps
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 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
- 30Running it twice. 2 mutating operations with no state check
- 40Consistency. Frontmatter name (Skill Distiller (One-Liner)) differs from the folder (neon-skill-distiller-oneliner)
- 100Execution cost. Instruction body is 237 tokens
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 72: 120–800 characters recommended
- +4Structure: 2 headings, hard to scan
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +2Single-language instructions
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.
External checks
ClawHub: clean
This is a small text-only helper for shortening skill files, with no code execution, credential access, persistence, or hidden data handling.
LLM: benign (high) · VirusTotal: · 29 May 2026