CD finance-daily-report
AI财经日报生成助手。自动获取A股/港股/美股实时行情，分析大盘指数、行业板块、资金流向、外汇商品、财经要闻，生成交互式HTML可视化日报。触发词：财经日报、今日财经、股市日报、每日财经、金融日报、finance daily report、股市行情、大盘分析、今日股市。
AI财经日报生成助手。自动获取A股/港股/美股实时行情，分析大盘指数、行业板块、资金流向、外汇商品、财经要闻，生成交互式HTML可视化日报。触发词：财经日报、今日财经、股市日报、每日财经、金融日报、finance daily report、股市行情、大盘分析、今日股市。
As a process D 47/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, consistency
What is at stake
The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.
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.
How to improve
- Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
- 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 · 2
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high Dangerous commands
cmd-install-from-urlreferences/akshare_apis.md:6Installs a package from an untrusted URL / archivepip install -i https://pypi.tuna.tsinghua.edu.cn/simple akshare pandas --trusted-host pypi.tuna.tsinghua.edu.cn
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high Dangerous commands
cmd-install-from-urlSKILL.md:29Installs a package from an untrusted URL / archivepip install -i https://pypi.tuna.tsinghua.edu.cn/simple akshare pandas --trusted-host pypi.tuna.tsinghua.edu.cn
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 47/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (finance-daily-report) differs from the folder (finance-daily-report-wb)
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 85Steps. 21 steps, 1 vague phrases
- 100Execution cost. Instruction body is 956 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 135: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 21 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.