BC Key‑Safe Skill Generator
A documentation‑only meta‑skill that teaches AI agents how to generate secure, zero‑exposure skills using MGC Blackbox 1.4.10. Credentials are stored encrypted; local scripts read them via HTTP API at runtime, while AI agents never touch plaintext.
A documentation‑only meta‑skill that teaches AI agents how to generate secure, zero‑exposure skills using MGC Blackbox 1.4.10. Credentials are stored…
As a process C 53/100 · Has gaps — weak spots: result and completion, consistency, running it twice
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
body-longSKILL.md body ≈ 5931 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "spec" - note
frontmatter-keyunknown frontmatter key "id" - note
frontmatter-keyunknown frontmatter key "platform_compatibility" - note
frontmatter-keyunknown frontmatter key "changelog"
Process rating: all ten parameters 53/100
- 0Result and completion. Does not say what the result is
- 30Running it twice. 14 mutating operations with no state check
- 40Consistency. Frontmatter name (Key‑Safe Skill Generator) differs from the folder (key-safe-skill-generator)
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 5931 tokens
- 85Steps. 77 steps, 3 vague phrases
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 32 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)
- +3Output format is not stated: the model decides each time
- -2localhost URLs: will not work for another user
- -216 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 248: enough signal without eating the budget
- +4Structure: 54 headings
- +3Step-by-step instructions: 77 items
- +4Has examples (23 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.