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Skill scan report

memory-feedback

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

What this skill does

This skill is a memory and feedback system for an AI agent, designed to log actions and failures, detect patterns, and propose improvements via GitHub PRs. It is part of a larger system (OpenClaw) and

github/leoyeai - GitHub Token Exposure - 2.1k stars

ThreatsGitHub Token Exposure Sensitive Data Handling

Threat analysis

GitHub Token Exposure1 finding
Sensitive Data Handling1 finding

Skill info

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

Assessments (2)

GitHub Token Exposure1 finding HIGH
HIGH

GitHub Token Exposure via local-llm-review

SKILL.md

The setup instructions in SKILL.md include a partial GITHUB_TOKEN export (`export GITHUB_TOKEN="ghp`). This is a significant risk as it exposes a GitHub personal access token in plaintext, potentially
Sensitive Data Handling1 finding MEDIUM
MEDIUM

Sensitive Data Handling via local-llm-review

SKILL.md

The skill proposes GitHub PRs for skill improvements, which could potentially expose internal logic, configurations, or other sensitive information if not properly reviewed by humans.

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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 memory-feedback? Report an issue or request a rescan.

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