SKILLEMALL.ai

DD openclaw-aligenie-genie

OpenClaw Agent 通过云服务器与天猫精灵双向通信的技能。触发时机:(1) 用户要求与天猫精灵通信或接收天猫精灵消息时 (2) 配置天猫精灵与 OpenClaw 的连接时 (3) 天猫精灵发送指令到 OpenClaw 需要处理时。

Not recommendedcritical or high security findings · low grade D
ClawHub Agent Skills author: AxelHu v1.0.2 MIT-0 5 files body ≈ 229 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 40/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
D
56/100
safety, quality, tests
Safety 60%
46
Quality 40%
72
Run on models
none yet
Process rating
D
40/100
Unfinished process
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

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.

Exfiltration
If you install

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".

For the author

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.

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 · 3

  • high Exfiltration exfil-read-secret-files DEPLOY.md:29
    Reads credential / secret files
    scp -i ~/.ssh/id_rsa_workspace_backup sqlite-jdbc-xxx.jar Ad…@….43.…:C:/temp/
  • high Exfiltration exfil-read-secret-files DEPLOY.md:30
    Reads credential / secret files
    scp -i ~/.ssh/id_rsa_workspace_backup AligenieServer.java Ad…@….43.…:C:/temp/
  • high Dangerous commands cmd-persistence DEPLOY.md:55
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    schtasks /create /tn AligenieServer /tr "java -cp C:\temp AligenieServer --port 58472" /sc onlogon /ru Administrator

Files scanned: 5. 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")

Process rating: all ten parameters 40/100

  • 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
  • 30Running it twice. 2 mutating operations with no state check
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 75Steps. 3 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 229 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 120: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 3 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This appears to be a real Tmall Genie bridge, but it asks users to expose a sensitive agent-control service in ways that need careful review before installation.
LLM: suspicious (high) · VirusTotal: · 29 May 2026