SKILLEMALL.ai

DD binance-announce-monitor

(no description)

Not recommendedcritical or high security findings · low grade D
ClawHub Agent Skills author: Xuhaoting v1.0.0 MIT-0 13 files · 2 scripts body ≈ 780 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
D
46/100
safety, quality, tests
Safety 60%
77
Quality 40%
0
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
When it triggers w 12
0
Inputs and preconditions w 11
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.

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. Add a description to the frontmatter: without it the skill never triggers.
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 · 6

  • high Exfiltration intent-browser-credential-store skill-card.md:40
    Accesses a browser credential / cookie store
    **Other Properties Related to Output:** [Produces monitor setup and operation guidance; runtime scripts write local state and notification queue files.] <br>
Medium and low: 5
  • low Dangerous commands cmd-background-process README.md:96
    Starts a background / autostarted process
    nohup ./start-all.sh > monitor.log 2>&1 &
  • low Dangerous commands cmd-background-process README.md:133
    Starts a background / autostarted process
    nohup ./start-all.sh > monitor.log 2>&1 &
  • low Dangerous commands cmd-background-process README.md:186
    Starts a background / autostarted process
    sudo systemctl enable binance-monitor
  • low Dangerous commands cmd-background-process SKILL.md:60
    Starts a background / autostarted process
    nohup node monitor.js > monitor.log 2>&1 &
  • low Dangerous commands cmd-background-process SKILL.md:68
    Starts a background / autostarted process
    sudo systemctl enable binance-monitor

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

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 48/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 780 tokens
  • low 14 top-level sections: this looks like several domains in one skill

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 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (12 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: suspicious
The skill does what it says broadly, but it hardcodes a specific Feishu recipient while the documentation implies users can configure who receives alerts.
LLM: suspicious (high) · VirusTotal: · 29 May 2026