PersonaNexus Agent Religion

PassAudited by ClawScan on May 1, 2026.

Overview

This appears to be a local, user-directed persona and religion prompt builder, with the main caution that its YAML files can shape a future agent’s behavior.

Before installing, use a clean Python environment, review the YAML you compile, inspect the generated prompt/personality output, and avoid putting secrets or unwanted persistent-memory settings in identity files.

Findings (3)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

NoteHigh Confidence
ASI01: Agent Goal Hijack
What this means

If you compile an unreviewed identity file, its principles, guardrails, or religious framework may change how an agent responds.

Why it was flagged

The skill is designed to convert YAML-defined religious and personality content into agent instructions, which is purpose-aligned but can steer downstream behavior.

Skill content
- **Compile** religion context into system prompts alongside personality traits
Recommendation

Only compile trusted YAML files and inspect the generated system prompt or personality file before using it with an agent.

What this means

Future dependency updates could change behavior or introduce package-level vulnerabilities.

Why it was flagged

The skill depends on external Python packages with lower-bound version constraints, which is normal for this kind of local CLI/library but means installed versions can vary over time.

Skill content
pydantic>=2.0
pyyaml>=6.0
typer>=0.9
rich>=13.0
Recommendation

Install in a virtual environment and consider pinning or auditing dependency versions for production use.

What this means

If reused in a downstream agent system, memory settings may cause context or relationship information to persist across sessions.

Why it was flagged

An included example identity can configure long-term memory and relationship state for systems that consume the generated configuration.

Skill content
long_term:
    enabled: true
    backend: "vector_store"
  relationships:
    enabled: true
Recommendation

Review or disable memory-related settings unless you intentionally want persistent context in the deployed agent.