BC Decision Economic Optimizer
Deterministic decision-ranking API with HTTP 402 payments and outcome credits.
As a process C 64/100 · Has gaps — weak spots: result and completion, when it triggers, consistency
How to improve
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: 3. 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) - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "credentials_required" - note
frontmatter-keyunknown frontmatter key "primary_credential" - note
frontmatter-keyunknown frontmatter key "sensitivity" - note
frontmatter-keyunknown frontmatter key "always_on" - note
frontmatter-keyunknown frontmatter key "disable_model_invocation" - note
frontmatter-keyunknown frontmatter key "install_mechanism" - note
frontmatter-keyunknown frontmatter key "writes_to_disk_on_install" - note
frontmatter-keyunknown frontmatter key "downloads_code_on_install"
Process rating: all ten parameters 64/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 5 mutating operations with no state check
- 40Consistency. Frontmatter name (Decision Economic Optimizer) differs from the folder (which-llm)
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 61 steps
- 100Failures and branches. 3 branches, has a failure section
- 100Execution cost. Instruction body is 1374 tokens
- low 12 top-level sections: this looks like several domains in one skill
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 78: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 22 headings
- +3Step-by-step instructions: 61 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: suspicious
This instruction-only skill is coherent, but it deserves Review because it asks an agent to handle wallet-backed USDC payments to an external API.
LLM: suspicious (medium) · VirusTotal: suspicious · 28 May 2026