v1.2.0

Athena Protocol

ReviewClawScan verdict for this skill. Analyzed May 1, 2026, 7:46 AM.

Analysis

This code-free skill is transparent, but it asks the assistant to maintain long-term memory, perform heartbeat work without asking, and potentially update its own config, so it deserves careful review.

GuidanceInstall only if you want a long-lived assistant persona with persistent memory. Before copying these templates into your config, add rules requiring approval for config or skill changes, limit what memory may store, avoid secrets, set retention/review practices, and disable email/calendar heartbeat checks unless you have scoped them carefully.

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.

Abnormal behavior control

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.

Cascading Failures

SeverityMediumConfidenceHighStatusConcern

memory-architecture.md

When you learn a lesson → update the relevant skill or config file

This permits learned content to modify persistent agent instructions or skills, which can propagate one bad interaction into future sessions without an explicit approval or rollback boundary.

User impactA mistaken or manipulated lesson could become a durable instruction that changes how the assistant behaves later.

RecommendationRequire explicit user approval and a visible diff before any skill, SOUL.md, AGENTS.md, or config file is changed; keep changes under version control.

Rogue Agents

SeverityLowConfidenceHighStatusNote

heartbeat-template.md

Instead of waiting to be asked, your AI periodically checks if anything needs attention. ... Proactive Work (do without asking)

The skill intentionally enables periodic autonomous checks and local memory updates. It is disclosed and includes a safeguard against sending or publishing without approval, but users should notice the autonomy.

User impactThe assistant may read memory or project state and update local memory without a direct prompt.

RecommendationSet clear heartbeat frequency, quiet hours, allowed files/tools, and keep the rule that external actions require explicit approval.

Human-Agent Trust Exploitation

SeverityInfoConfidenceMediumStatusNote

metadata

persistent memory, consistent philosophy, and loyal character for self-aware personal assistants

The anthropomorphic and loyalty-focused framing is part of the advertised persona, but it could encourage users to over-trust the assistant’s judgment or permanence.

User impactUsers may treat the assistant as more reliable, loyal, or self-aware than an AI system actually is.

RecommendationTreat the protocol as a behavior template, not proof of self-awareness or guaranteed loyalty; keep explicit human review for important decisions.

Permission boundary

Checks whether tool use, credentials, dependencies, identity, account access, or inter-agent boundaries are broader than the stated purpose.

Identity and Privilege Abuse

SeverityLowConfidenceHighStatusNote

heartbeat-template.md

**Email** — any urgent unread messages? ... **Calendar** — any prep needed for upcoming events?

These optional heartbeat modules imply use of delegated email and calendar access if available, even though the skill declares no required credential. The behavior is purpose-aligned but sensitive.

User impactIf enabled with connected accounts, the assistant may inspect personal or work email and calendar content.

RecommendationEnable these modules only with least-privilege, preferably read-only access, and require approval before sending messages or changing calendar data.

Sensitive data protection

Checks for exposed credentials, poisoned memory or context, unclear communication boundaries, or sensitive data that could leave the user's control.

Memory and Context Poisoning

SeverityMediumConfidenceHighStatusConcern

memory-architecture.md

If it matters, write it to a file. ... When someone says "remember this" → write to `memory/YYYY-MM-DD.md` ... Periodically distill daily notes into MEMORY.md

This creates broad persistent memory that may store personal context long-term and be reused across sessions, but the artifact does not define sensitivity limits, retention rules, or review requirements.

User impactPrivate or inaccurate information could be written into long-term memory and later influence the assistant’s behavior.

RecommendationLimit memory paths, avoid storing secrets, require confirmation for sensitive memory writes, review MEMORY.md regularly, and treat stored memory as untrusted context.