SKILLEMALL.ai

AD web-verify-protocol

三轮联网搜索验证协议。当用户需要联网核实数据、引用数字、验证爆料、给文章/报告/信息图找可靠数据源、或担心"AI 搜到的数据不可靠"时使用。包含 S/A/B/C 四级信源分级、三轮硬性核实门槛(R1 S级升级/R2 独立交叉验证/R3 叙事审查)、以及必须先打印的三轮核实报告。适用于公众号写作、研报拆解、商业分析、事实核查等任何"AI 出数据"的场景。Triggers: 核实数据, 联网验证, 数据可靠吗, 三轮核实, 交叉验证, 信源分级, fact-check, verify data.

ClawHub Agent Skills author: Shi Yan (施言) v1.0.0 MIT-0 4 files body ≈ 609 tokens Open the sourceclawhub.ai analyzed 2 d ago

三轮联网搜索验证协议。当用户需要联网核实数据、引用数字、验证爆料、给文章/报告/信息图找可靠数据源、或担心"AI 搜到的数据不可靠"时使用。包含 S/A/B/C 四级信源分级、三轮硬性核实门槛(R1 S级升级/R2 独立交叉验证/R3…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

Analyzertype 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
D
46/100
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

    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: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: 三轮联网搜索验证协议。当用户需要联网核实数据、引用数字、验证爆料、给文章/报告/信息图找可靠数据源、或担心"AI 搜到的数据不可靠"… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
    • note frontmatter-key unknown frontmatter key "agent_created"

    Process rating: all ten parameters 46/100

    • 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 (web) that frontmatter does not declare
    • 100Steps. 25 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 609 tokens
    • 100Running it twice. No mutating operations

    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)
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +3Description length 248: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 25 items
    • +4Has examples (1 code blocks)
    • +1License stated

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

    External checks

    ClawHub: clean
    This is a disclosed web-research verification workflow with no code execution, persistence, credential use, or hidden data handling found.
    LLM: benign (high) · VirusTotal: · 9 Aug 2026