BD beautiful-mermaid
Render Mermaid diagrams as beautiful SVG, PNG, or ASCII art. Supports 6 chart types (flowchart, sequence, state, class, ER, XY chart), 16 built-in themes, 5 style presets, CSS-level customization, interactive preview, and batch rendering. Works in terminal, chat, or web environments.
As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 5
✓ No critical or high findings
Medium and low: 5
-
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:83High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…cAz+ivBu…Lvw==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:163High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…IxX/wd5n…MGF+pv6g…i2Z+Wnj9/KjGz…4Eg==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:195High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…BQM/qZ3R+9TEU…es4+qu1b…BFA==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:211High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha512-8mL/vh8q…uJP+ZcVY…AJW+m0Et…WzA==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:227High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…NES+HiD4…TOe+/2rdn…PWn/r/aAw==",
detector
Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 7060 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "description_zh" - note
frontmatter-keyunknown frontmatter key "description_en" - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "icon"
Process rating: all ten parameters 44/100
- 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
- 60Tools and files. Uses tools (python, node) that frontmatter does not declare
- 70Execution cost. Instruction body is 7060 tokens
- 100Steps. 97 steps
- 100Consistency. Name and required fields are in place
- 100Running it twice. No mutating operations
- low 14 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (12 tags): a typed call is more reliable
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
- +1No license
- +2Single-language instructions
- +3Description length 284: enough signal without eating the budget
- +4Structure: 75 headings
- +3Step-by-step instructions: 97 items
- +4Has examples (45 code blocks)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.