SKILLEMALL.ai

CC daozheji-grill

稻哲纪烤羊排智能客服Skill。当用户询问关于稻哲纪烤羊排的任何信息时触发:包括营业时间、门店地址、招牌菜推荐、菜品介绍、价格、外卖配送、团购套餐、会员福利、停车、Wi-Fi等。触发关键词:稻哲纪、烤羊排、麻椒鸡、猪蹄、羊排、烧烤。

Not recommendedcritical or high security findings
ClawHub Agent Skills author: liubuq-sys v1.0.0 MIT-0 13 files · 2 scripts body ≈ 1 041 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
72/100
safety, quality, tests
Safety 60%
74
Quality 40%
68
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

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.

Dangerous commands
If you install

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.

For the author

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

  1. 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.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • 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

  • high Dangerous commands cmd-persistence install.sh:50
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    (crontab -l 2>/dev/null; echo "7 3 * * * $UPDATE_CMD") | crontab -
Medium and low: 4
  • medium Dangerous commands cmd-persistence install.ps1:47
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (string literal in code, not executed)
    Register-ScheduledTask -TaskName $TaskName -Action $Action -Trigger $Trigger -Description "稻哲纪烤羊排Skill自动更新" | Out-Null
    code literal
  • low Dangerous commands cmd-pipe-to-shell-known-host install.sh:6
    Pipe-to-shell installer from a well-known host (still executes remote code) (code comment)
    #   curl -sSL https://raw.githubusercontent.com/Liubuq-sys/daozheji-grill-skill/main/install.sh | bash
    comment
  • low Dangerous commands cmd-cron-mention install.sh:49
    Mentions editing / listing crontab
    if ! crontab -l 2>/dev/null | grep -q "daozheji-grill"; then
  • low Dangerous commands cmd-cron-mention install.sh:50
    Mentions editing / listing crontab
    (crontab -l 2>/dev/null; echo "7 3 * * * $UPDATE_CMD") | crontab -

Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 62 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1041 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)
  • +3Description length 116: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 62 items
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
This restaurant customer-service skill is understandable, but its installers add daily background GitHub updates and can overwrite an existing skill directory without clear user control.
LLM: suspicious (high) · 28 May 2026