SKILLEMALL.ai

AB coret-mindmap

Create, inspect, update, illustrate, export, and share live mind maps in coret.id through its MCP tools. Use when a user asks to turn notes, meetings, research, plans, or outlines into a Coret mind map, or to work with an existing Coret map, node, Spidol drawing, sketch, image, export, or share link.

ClawHub Agent Skills author: Rama Aditya v1.1.0 MIT-0 3 files body ≈ 845 tokens Open the sourceclawhub.ai analyzed 26 h ago

Create, inspect, update, illustrate, export, and share live mind maps in coret.id through its MCP tools. Use when a user asks to turn notes, meetings…

As a process B 73/100 · Nearly there — weak spots: result and completion, running it twice

GeneratorAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
B
73/100
Nearly there
Result and completion w 14
0
Running it twice w 4
30
Tools and files w 18
60
the three weakest of ten parameters · all ten

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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 73/100

    • 0Result and completion. Does not say what the result is
    • 30Running it twice. 11 mutating operations with no state check
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 25 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 845 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 301: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 25 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: clean
    This skill is a straightforward Coret mind-map helper that uses disclosed MCP tools and includes reasonable safeguards for writes, deletion, credentials, and sharing.
    LLM: benign (high) · VirusTotal: · 31 Jul 2026