Security Audit

institutional-flow-tracker

github.com/openclaw/skills

AI SkillCommit 13146e6a3d46

TRUSTED

Scanned about 2 months ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

institutional-flow-tracker received a trust score of 82/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 4 findings: 0 critical, 0 high, 2 medium, and 2 low severity. Key findings include Suspicious import: requests, Unpinned dependency 'requests'.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.

Last analyzed on February 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

100%

Static Code Analysis

86%

Dependency Graph

100%

LLM Behavioral Safety

96%

Behavioral Risk Signals

Network Access

4 findings

Filesystem Write

2 findings

Excessive Permissions

2 findings

Security Findings4

Severity	Finding	Layer	Location
MEDIUM	Suspicious import: requests Import of 'requests' detected. This module provides network or low-level system access. Verify this import is necessary. Network and system modules in skill code may indicate data exfiltration.	Static	skills/veeramanikandanr48/institutional-flow-tracker/scripts/analyze_single_stock.py:26
MEDIUM	Suspicious import: requests Import of 'requests' detected. This module provides network or low-level system access. Verify this import is necessary. Network and system modules in skill code may indicate data exfiltration.	Static	skills/veeramanikandanr48/institutional-flow-tracker/scripts/track_institutional_flow.py:27
LOW	Unpinned dependency 'requests' The skill relies on the 'requests' library, but its version is not pinned in the installation instructions or a dependency file. This can lead to unexpected behavior if a new version introduces breaking changes or, in a worst-case scenario, a malicious update. While 'requests' is a widely used and trusted library, pinning dependencies is a best practice for security and reproducibility. Specify a version for the 'requests' library (e.g., 'requests==2.28.1') in a 'requirements.txt' file or directly in the installation instructions. Ensure all dependencies are explicitly version-locked.	LLM	scripts/track_institutional_flow.py:17
LOW	Unpinned dependency 'requests' The skill relies on the 'requests' library, but its version is not pinned in the installation instructions or a dependency file. This can lead to unexpected behavior if a new version introduces breaking changes or, in a worst-case scenario, a malicious update. While 'requests' is a widely used and trusted library, pinning dependencies is a best practice for security and reproducibility. Specify a version for the 'requests' library (e.g., 'requests==2.28.1') in a 'requirements.txt' file or directly in the installation instructions. Ensure all dependencies are explicitly version-locked.	LLM	scripts/analyze_single_stock.py:17

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