SKILLEMALL.ai

AC audit-nanjing-overseas-agencies

南京留学、移民、海外身份及因私出入境机构的中英双语证据审计;用于全量列举南京机构、核验资质或合同主体、横向比较与评分、审计指定机构、识别初创或渠道型中介、调查客诉与营销话术,以及起草防坑条款。Bilingual evidence-led audit of Nanjing study-abroad, immigration, overseas-identity, and private-entry/exit agencies; use for full rosters, entity and qualification checks, comparisons, scoring, startup/channel audits, complaint or marketing investigations, and protective contract clauses.

ClawHub Agent Skills author: Cod1doc v1.0.0 MIT-0 7 files body ≈ 2 289 tokens Open the sourceclawhub.ai analyzed 3 d ago

南京留学、移民、海外身份及因私出入境机构的中英双语证据审计;用于全量列举南京机构、核验资质或合同主体、横向比较与评分、审计指定机构、识别初创或渠道型中介、调查客诉与营销话术,以及起草防坑条款。Bilingual evidence-led audit of Nanjing study-abroad…

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerCustomer supportLegaltype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
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: 7. 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 54/100

    • 0Result and completion. Does not say what the result is
    • 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
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 2 mutating operations with no state check
    • 100Tools and files. No external tools needed
    • 100Steps. 48 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2289 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

    • +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 387: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 48 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This skill is a purpose-aligned audit guide with an optional local JSON validator and shows no hidden persistence, credential use, or data exfiltration.
    LLM: benign (high) · VirusTotal: · 14 Aug 2026