BC Database Credential Security (Zero‑Exposure Edition)
Secure database credential management using MGC Blackbox 1.4.10. Supports MySQL, PostgreSQL, SQLite, MariaDB and other databases. Credentials are stored encrypted; local scripts retrieve them via HTTP API at runtime, while AI agents never touch plaintext.
Secure database credential management using MGC Blackbox 1.4.10. Supports MySQL, PostgreSQL, SQLite, MariaDB and other databases. 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: 4. 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 ≈ 5319 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. 3 mutating operations with no state check
- 40Consistency. Frontmatter name (Database Credential Security (Zero‑Exposure Edition)) differs from the folder (mgc-database-security)
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 5319 tokens
- 85Steps. 59 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 25 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
- -214 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 255: enough signal without eating the budget
- +4Structure: 56 headings
- +3Step-by-step instructions: 59 items
- +4Has examples (23 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.