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Skill scan report

do

View on GitHub
35 Medium Automated analysis flagged 2 potential risk patterns.

What this skill does

Feature development workflow orchestrator using codeagent-wrapper to manage a 5-phase development process (Understand, Clarify, Design, Implement, Complete).

github/stellarlinkco - Agent Snooping - 2.7k stars

ThreatsAgent Snooping Code Injection

Threat analysis

Agent Snooping1 finding
Code Injection1 finding

Skill info

Namestellarlinkco/do
Registrygithub
Versionf2e75c1
PURLpkg:github/stellarlinkco/myclaude@f2e75c1?skill=do
Stars2.7k

Assessments (2)

Agent Snooping1 finding HIGH
HIGH

Agent Snooping via local-llm-review

README.md

References to ~/.claude/settings.json and ~/.codeagent/agents/ directory which could be used to inject custom agent behavior
Code Injection1 finding MEDIUM
MEDIUM

Code Injection via local-llm-review

hooks/verify-loop.py

Use of shell=True in subprocess.run() could be exploited for code injection if cmd variable is not properly sanitized

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How Anomity governs this at runtime

Scan-time vetting tells you what a skill says it will do. Anomity's Endpoint Sensor sees what agents actually do: it discovers skills alongside every other AI artifact on the endpoint, and runtime governance can allow, deny, or log the tool calls a skill triggers. Policy violations route to your SIEM, Slack, email, or Jira, backed by a queryable 90-day audit trail.

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Methodology and disputes

Every skill is assessed by the Anomity Skill Intelligence engine against its public source; findings indicate risk patterns, not confirmed exploitation. Maintainer of do? Report an issue or request a rescan.

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