Live Neon Persona
Analysis
This is a disclosed Live Neon integration, but it can persistently shape an agent’s identity and prompts while sending observations and synced content to an external service.
Findings (5)
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.
Checks for instructions or behavior that redirect the agent, misuse tools, execute unexpected code, cascade across systems, exploit user trust, or continue outside the intended task.
/ln prompt | Fetch runtime system prompt | Deploying agent, switching LLM providers
Fetching a runtime system prompt from an external identity service is aligned with the skill's purpose, but it can alter the agent's operating instructions if treated as authoritative.
/ln sync [agentId|all] ... agentId ... or `all` for entire org ... /ln discover [agentId|orgSlug] [--force]
The command reference exposes broad API operations such as org-wide sync and discovery. These are purpose-aligned, but they can affect many identities or content sources if used carelessly.
Source: unknown ... No install spec — this is an instruction-only skill
The package has no executable code in the provided artifacts, but its source is listed as unknown and operational setup is documented only in SKILL.md.
Checks whether tool use, credentials, dependencies, identity, account access, or inter-agent boundaries are broader than the stated purpose.
export LIVE_NEON_TOKEN="ln_your_token_here" ... -H "Authorization: Bearer $LIVE_NEON_TOKEN"
The skill uses a Live Neon bearer token for API access. This is expected for the integration, but the registry metadata does not declare a primary credential or required environment variable.
Checks for exposed credentials, poisoned memory or context, unclear communication boundaries, or sensitive data that could leave the user's control.
persistent, structured identity that survives across sessions, evolves from your actual behavior ... /ln observe | Report an observation about your own behavior | After user corrections, notable interactions, pattern recognition
The skill is designed to persist behavior-derived observations across sessions and reuse them in the agent's identity, but the visible instructions do not clearly define data minimization, retention, user approval, or poisoning safeguards.
