Skill Detail

Wireshark Network Traffic Analysis

This skill uses Wireshark to analyze network traffic. It appears to be mostly documentation.

GitHub:sickn33/antigravity-awesome-skills wireshark-analysis
version 0b2eb7e0e36e
static analysis only
no human review yet
Use Caution

Current public label

Use Caution

The skill's documentation references credentials and shell commands, which is why it is labeled with caution.

This label is currently coming from the automated scorecard.

Automated result

Use Caution

The skill's documentation mentions credentials and shell commands. There is no runtime evidence.

1 medium, 2 low Final label: use caution.

Human review

No human review has been recorded yet.

The current public label is still relying on automation. A human has not weighed in yet.

What happened

Driftloom completed a static scan. It inspected the skill files, recorded findings, and generated a scorecard.

Runtime evidence

No sandbox runtime result has been recorded yet.

What did not happen

  • Driftloom did not run this skill in an isolated sandbox yet.
  • This label is not a guarantee that the skill is safe, bug-free, or appropriate for every environment.
  • A good score does not replace human judgment when a skill touches secrets, shell access, or external systems.

Source provenance

Source: Workspace import

Originally ingested from a local workspace copy.

Scorecard

Safety
79
Quality
94
Transparency
100
Operational
92
Maintenance
76

1 medium, 2 low Final label: use caution.

Severity mix: 1 medium, 2 low

What Driftloom checked

  • Read the skill files and metadata to understand what the skill claims to do.
  • Looked for shell commands and risky command patterns.
  • Looked for external URLs and network behavior.
  • Looked for secret, token, password, and credential references.
  • Checked whether the skill structure and references looked internally consistent.

Findings

Remote access command referenced
shell.remote_access · safety
Medium

The source references remote access or copy commands.

File: SKILL.md
Evidence: ssh
Documentation-only skill structure
structure.docs_only · quality
Low

The source looks almost entirely documentation-based, with no obvious code or config files to inspect. That does not make it bad, but it limits how much automation can meaningfully verify.

File: SKILL.md
Secret or credential reference detected
secret.reference · safety
Low

The docs mention credentials or secrets. That may be normal, but it still tells you the skill expects sensitive material somewhere in the workflow.

File: SKILL.md
Evidence: password
Driftloom is following the boring, correct architecture: Django control plane first, isolated runner later. Miraculously, restraint survives.