BC yufeng-stock-screener
A股智能量化选股助手（禹锋量化 · 专业版）。当用户询问A股选股、股票推荐、 今日买什么股票、量化选股、短线机会、强势股、涨停股分析、个股技术分析、 主力资金流向、择时建议时触发此技能。 Use when: A股选股、今天买什么、推荐股票、短线股票、强势股筛选、量化筛选、 技术分析、主力资金、买卖点分析、择时评分、涨停预测、热门板块 NOT for: 港股、美股、基金、期货、债券、理财（请使用对应专属技能）
As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
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 skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.
Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.
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 · 3
✓ No critical or high findings
Medium and low: 3
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medium Dangerous commands
cmd-shell-rcscripts/install.sh:39Writes to a shell startup fileecho "export YUFENG_QUANT_TOKEN=\"$USER_TOKEN\"" >> ~/.bashrc
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medium Dangerous commands
cmd-shell-rcscripts/install.sh:41Writes to a shell startup fileecho "[✓] Token 已配置到 ~/.bashrc"
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medium Exfiltration
net-redirectable-api-keyscripts/query_stocks.py:23Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "tools"
Process rating: all ten parameters 57/100
- 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
- 50When it triggers. No condition that starts the skill
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 14 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 478 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
- +5Description has no quoted example phrases that should trigger the skill
- +3Output format is not stated: the model decides each time
- -31 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 205: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.