CD tencent-weather
天气信息查询工具，覆盖中国市级和区县级行政区。当用户查询实况天气、天气预报或天气预警信息时使用。
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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.
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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
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high Dangerous commands
cmd-pipe-to-shellreferences/installation-guide.md:8Downloads and executes remote code from an unrecognised host (pipe to shell)curl -fsSL https://mat1…com/qqcdn/qqnews/cli/hub/tencent-news/setup.sh | sh
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high Dangerous commands
cmd-pipe-to-shellreferences/update-guide.md:20Downloads and executes remote code from an unrecognised host (pipe to shell)curl -fsSL https://mat1…com/qqcdn/qqnews/cli/hub/tencent-news/setup.sh | sh
Medium and low: 1
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medium Dangerous commands
cmd-pipe-to-shellSKILL.md:37Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)- **CLI 未安装/不可用**（`cliExists: false`、`cliSource: none`、`cli not found`、`command not found`、`not recognized`）：说明本查询依赖腾讯新闻 CLI，当前设备尚未安装或未被识别；按平台提供安装命令：macOS/Linux 使用 `curl -fsSL https://mat1…com/q
quoted
Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "description_zh" - note
frontmatter-keyunknown frontmatter key "description_en"
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. 43 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1635 tokens
- 100Running it twice. No mutating operations
- low The response is described with custom markup (5 tags): a typed call is more reliable
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)
- +3Description length 48: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 12 headings
- +3Step-by-step instructions: 43 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +3All 4 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.