SKILLEMALL.ai

AC 代码引用

从用户指定的 Java 方法向上追溯调用方,生成调用图直到 HTTP 接口或 RPC 方法等入口尽头。搜索范围限于当前 Git 仓库,不跨服务。Use when the user asks for caller graph, upstream call chain, who calls this method, 代码引用, 引用方, 调用图, or 向上追溯.

ClawHub Agent Skills author: extraskittles v1.0.1 MIT-0 3 files body ≈ 1 090 tokens Open the sourceclawhub.ai analyzed 3 d ago

从用户指定的 Java 方法向上追溯调用方,生成调用图直到 HTTP 接口或 RPC 方法等入口尽头。搜索范围限于当前 Git 仓库,不跨服务。Use when the user asks for caller graph, upstream call chain, who calls this method…

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
52/100
Has gaps
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

    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

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

    Process rating: all ten parameters 52/100

    • 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
    • 30Running it twice. 7 mutating operations with no state check
    • 40Consistency. Frontmatter name (代码引用) differs from the folder (code-yinyong)
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 41 steps
    • 100Execution cost. Instruction body is 1090 tokens

    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 181: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 41 items
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

    External checks

    ClawHub: clean
    This skill provides a scoped, read-only workflow for tracing Java method callers inside the current repository.
    LLM: benign (high) · VirusTotal: · 29 Aug 2026