SKILLEMALL.ai

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.

ClawHub Agent Skills author: chouray v1.0.0 MIT-0 9 files body ≈ 7 060 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
95
Quality 40%
62
Run on models
none yet
Process rating
D
44/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token package-lock.json:83
    High-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-token package-lock.json:163
    High-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-token package-lock.json:195
    High-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-token package-lock.json:211
    High-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-token package-lock.json:227
    High-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-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 7060 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown 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.

External checks

ClawHub: clean
This skill behaves like a Mermaid diagram renderer, with expected local file rendering and preview features plus minor privacy/install notes.
LLM: benign (high) · VirusTotal: · 29 May 2026