user-story-splitter Security Audit Report

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user-story-splitter is an AI agent skill. ClawSecure audited user-story-splitter across 9 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 70/100 (Medium Risk). The 7 findings concentrate in Data Exfiltration, Policy Violation and Unauthorized Tool Use, including Only 88% of skill content could be analyzed. 1 of 9 files… and Undeclared Network Access. None were rated high or critical severity.

Is user-story-splitter safe?

ClawSecure audited user-story-splitter and assigned a security score of 70/100 (Medium Risk), identifying 7 findings across Data Exfiltration and Policy Violation. Review the findings below before installing.

What did ClawSecure find in user-story-splitter?

ClawSecure identified 7 findings in user-story-splitter, concentrated in Data Exfiltration, Policy Violation and Unauthorized Tool Use. The most severe include Only 88% of skill content could be analyzed. 1 of 9 files… and Undeclared Network Access.

How was user-story-splitter audited?

ClawSecure ran user-story-splitter through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 9 files.

What does a score of 70 mean?

ClawSecure assigned user-story-splitter a security score of 70/100, placing it in the Medium Risk range. This reflects 7 findings led by Data Exfiltration that warrant review before production use. ClawSecure derives this score with a weighted deduction model (critical -20, high -10, medium -5, low -2 from a base of 100).

Audit Findings for user-story-splitter

ClawSecure detected 7 security findings in user-story-splitter, spanning Data Exfiltration, Policy Violation, Unauthorized Tool Use and Permissions Manifest.

medium · Only 88% of skill content could be analyzed. 1 of 9 files…. Policy Violation finding.
medium · Undeclared Network Access. Unauthorized Tool Use finding detected in SKILL.md.
medium · Environment Variable Enumeration. Data Exfiltration finding detected in references/jira/scripts/jira_api.py.
medium · Suspicious Pattern: urllib.request.Request(. Data Exfiltration finding detected in references/jira/scripts/jira_api.py:69.
medium · Suspicious Pattern: urllib.request.urlopen(. Data Exfiltration finding detected in references/jira/scripts/jira_api.py:73.
medium · Missing config.json - agent may not be properly configured. Permissions Manifest finding.
info · Missing License Declaration. Policy Violation finding detected in SKILL.md.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for user-story-splitter

Audit external network connections

user-story-splitter sends data to external endpoints. Confirm each destination is expected and authorized, and remove any callback that exfiltrates data. ClawSecure monitors for known exfiltration and C2 endpoints.

Resolve policy violations

user-story-splitter trips ClawSecure policy checks. Review each flagged pattern against your security policy and remediate or document an accepted exception before production use.

Add a config.json permissions manifest

A config.json file declares what an agent component can access: file system, network, shell execution and more. Without it, users have no visibility into what the component can do before installing. This is the single most impactful security improvement for any AI agent skill.

Related Security Research

ClawHavoc Explained: The Malware Family Targeting AI Agents→Beyond Static Scans: Why ClawSecure Verifies Agentic Intent→

Related AI Agent Security Audits

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Scanned on June 12, 2026. user-story-splitter is one of thousands of agents audited by ClawSecure from the community-curated awesome-openclaw-skills list and the openclaw/skills repository.

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