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Skill scan report

recursive-spawn

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

What this skill does

Enables an Openclaw agent to spawn sub-agents (child Openclaw instances) when a task is too large, complex, or parallel to handle alone. It is a utility for task delegation and parallel execution.

github/leoyeai - Data Exposure - 2.1k stars

ThreatsData Exposure Filesystem Access

Threat analysis

Data Exposure1 finding
Filesystem Access1 finding

Skill info

Nameleoyeai/recursive-spawn
Registrygithub
Versione5199b5
PURLpkg:github/LeoYeAI/openclaw-master-skills@e5199b5?skill=recursive-spawn
Stars2.1k

Assessments (2)

Data Exposure1 finding HIGH
HIGH

Data Exposure via local-llm-review

scripts/spawn_openclaw.py

The script mentions that 'progress_so_far is sent to the provider API and visible to the child agent  -  sanitize snapshots and strip secrets before spawning.' This indicates that if not properly sani
Filesystem Access1 finding MEDIUM
MEDIUM

Filesystem Access via local-llm-review

scripts/spawn_openclaw.py

The script notes that 'passing file-access tools to children grants them read/write access to arbitrary paths  -  only pass tools you trust.' This highlights a potential risk if untrusted tools are pa

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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 recursive-spawn? Report an issue or request a rescan.

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