Security Audit

sundial-org/awesome-openclaw-skills:skills/actual-budget

github.com/sundial-org/awesome-openclaw-skills

AI SkillCommit 6d998e005da6

CAUTION

Scanned 27 days ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

sundial-org/awesome-openclaw-skills:skills/actual-budget received a trust score of 56/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 2 findings: 0 critical, 0 high, 2 medium, and 0 low severity. Key findings include Potential hardcoded secret (high entropy).

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 March 3, 2026 (commit 6d998e00). 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

100%

Security Findings2

Severity	Finding	Layer	Location
MEDIUM	Potential hardcoded secret (high entropy) A high-entropy string (entropy=4.54) was found in a credential-like context. Verify this is not a hardcoded secret. Use environment variables for sensitive values.	Static	skills/actual-budget/SKILL.md:36
MEDIUM	Potential hardcoded secret (high entropy) A high-entropy string (entropy=4.54) was found in a credential-like context. Verify this is not a hardcoded secret. Use environment variables for sensitive values.	Static	skills/actual-budget/SKILL.md:40

Scan History

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