SKILLEMALL.ai

AC code_flow_graph

Generate interactive HTML node-graph diagrams for code visualization. Trigger when user asks to: visualize code architecture, diagram module dependencies, map call chains, graph class relationships, show UI event flows, display widget hierarchy layouts, or understand how code connects. Keywords: "visualize", "diagram", "graph", "map out", "call chain", "architecture", "code flow", "widget hierarchy", "UI layout", "界面布局", "调用链", "代码架构", "可视化", "模块依赖", "函数关系", "类图", "事件流".

ClawHub Agent Skills author: BiuBiuBiu533 v1.0.1 MIT-0 14 files body ≈ 2 260 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 59/100 · Has gaps — weak spots: inputs and preconditions, consistency, running it twice

GeneratorGitHubSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
95
Run on models
none yet
Process rating
C
59/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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: 13. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 59/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 40Consistency. Frontmatter name (code_flow_graph) differs from the folder (code-flow-graph)
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 28 steps
    • 100Execution cost. Instruction body is 2260 tokens
    • 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +2Single-language instructions
    • +5Description quotes 8 example trigger phrases
    • +3Description length 475: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 28 items
    • +3Output format is stated explicitly
    • +4Has examples (11 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: suspicious
    This skill has a coherent code-visualization purpose, but it also runs generated or project data as JavaScript during validation and keeps persistent project-state metadata.
    LLM: suspicious (high) · 12 Aug 2026