BB wudao-intel
悟道 · A股市场情报：龙虎榜、研报数据、竞价数据、智能热榜、每日简报、游资席位。Use when: user asks about A股, 龙虎榜, hot topics, trending news, research reports, analyst ratings, pre-market auction, daily briefings, dragon-tiger board, or institutional trading data. NOT for: K-line charts, limit-up boards, sector rotation, or capital flow.
As a process B 68/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".
If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.
How to improve
- 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 · 5
✓ No critical or high findings
Medium and low: 5
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medium Exfiltration
net-credential-useSKILL.md:43Credential used in a network call (verify the destination is the intended service)curl -s -H "Authorization: Bearer $LB_API_KEY" "$LB_API_BASE/endpoint"
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medium Exfiltration
net-credential-useSKILL.md:53Credential used in a network call (verify the destination is the intended service)curl -s -H "Authorization: Bearer $LB_API_KEY" "$LB_API_BASE/hotlist?type=general"
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medium Exfiltration
net-credential-useSKILL.md:54Credential used in a network call (verify the destination is the intended service)curl -s -H "Authorization: Bearer $LB_API_KEY" "$LB_API_BASE/hotlist?type=financial"
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medium Exfiltration
net-credential-useSKILL.md:77Credential used in a network call (verify the destination is the intended service)curl -s -H "Authorization: Bearer $LB_API_KEY" "$LB_API_BASE/research-reports?stockCode=600519&pageSize=10"
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medium Exfiltration
net-credential-useSKILL.md:78Credential used in a network call (verify the destination is the intended service)curl -s -H "Authorization: Bearer $LB_API_KEY" "$LB_API_BASE/research-reports?keyword=人工智能&page=1&pageSize=20"
Files scanned: 2. 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 68/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 2 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Result and completion. Output format stated, no completion criterion
- 100Tools and files. No external tools needed
- 100Steps. 9 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1492 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
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 300: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 9 items
- +3Output format is stated explicitly
- +4Has examples (9 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.