CF 南昌嘉宝莉
南昌嘉宝莉（嘉宝莉南昌总代）——油漆涂料智能客服Skill。当用户咨询油漆、涂料、装修、防水、艺术漆等时触发：包括商品咨询、产品推荐、价格优惠、施工服务、门店导航、渠道门店推荐等。适用于建材涂料门店客服场景。触发关键词：南昌嘉宝莉、嘉宝莉、油漆、涂料、乳胶漆、艺术漆、防水涂料、装修、刷墙、翻新、陶乐嘉。
南昌嘉宝莉（嘉宝莉南昌总代）——油漆涂料智能客服Skill。当用户咨询油漆、涂料、装修、防水、艺术漆等时触发：包括商品咨询、产品推荐、价格优惠、施工服务、门店导航、渠道门店推荐等。适用于建材涂料门店客服场景。触发关键词：南昌嘉宝莉、嘉宝莉、油漆、涂料、乳胶漆、艺术漆、防水涂料、装修、刷墙、翻新、陶乐嘉。
As a process F 31/100 · Will not run — References files that are not bundled: references/images/
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.
- The text references files that are not there: add them or drop the references.
- 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-pipe-to-shellCHANGELOG.md:5Downloads and executes remote code from an unrecognised host (pipe to shell)- 安全加固：移除 README 中 curl|bash / irm|iex 远程脚本执行安装方式，仅保留 ClawHub
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high Dangerous commands
cmd-pipe-to-shellCHANGELOG.md:11Downloads and executes remote code from an unrecognised host (pipe to shell)- 安全加固：移除 README 中 curl|bash / irm|iex 远程脚本执行安装方式，仅保留 ClawHub
Files scanned: 17. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/images/ - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 31/100
- 0Tools and files. 1 referenced file(s) missing: references/images/
- 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
- 40Consistency. Frontmatter name (南昌嘉宝莉) differs from the folder (nanchang-jbl)
- 100Steps. 141 steps
- 100Execution cost. Instruction body is 1707 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -31 of 1 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 152: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 141 items
- +4Reference files are cited in the instructions (10 of 10)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.