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best-practices-for-llm-prompt-engineering-palantir-4a296dff Security Audit Report

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best-practices-for-llm-prompt-engineering-palantir-4a296dff is an AI agent skill, created by hhhh124hhhh and published at openclaw/skills. ClawSecure audited best-practices-for-llm-prompt-engineering-palantir-4a296dff across 3 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 95/100 (Safe). The 2 findings concentrate in Policy Violation and Permissions Manifest, including Missing config.json - agent may not be properly configured and Skill manifest does not include a 'license' field. Specifying a license.... None were rated high or critical severity.

Is best-practices-for-llm-prompt-engineering-palantir-4a296dff safe?

ClawSecure audited best-practices-for-llm-prompt-engineering-palantir-4a296dff and assigned a security score of 95/100 (Safe), identifying 2 findings across Policy Violation and Permissions Manifest. Review the findings below before installing.

What did ClawSecure find in best-practices-for-llm-prompt-engineering-palantir-4a296dff?

ClawSecure identified 2 findings in best-practices-for-llm-prompt-engineering-palantir-4a296dff, concentrated in Policy Violation and Permissions Manifest. The most severe include Missing config.json - agent may not be properly configured and Skill manifest does not include a 'license' field. Specifying a license....

How was best-practices-for-llm-prompt-engineering-palantir-4a296dff audited?

ClawSecure ran best-practices-for-llm-prompt-engineering-palantir-4a296dff through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 3 files from openclaw/skills.

What does a score of 95 mean?

ClawSecure assigned best-practices-for-llm-prompt-engineering-palantir-4a296dff a security score of 95/100, placing it in the Safe range. Scores of 80 or above qualify for ClawSecure Verified status; the 2 findings detected are lower-severity. 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 best-practices-for-llm-prompt-engineering-palantir-4a296dff

ClawSecure detected 2 security findings in best-practices-for-llm-prompt-engineering-palantir-4a296dff, spanning Policy Violation and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for best-practices-for-llm-prompt-engineering-palantir-4a296dff

Resolve policy violations
best-practices-for-llm-prompt-engineering-palantir-4a296dff 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.
Pin dependencies to exact versions
Unpinned dependencies allow supply-chain attacks where a compromised version is pulled in automatically. Use exact version numbers in package.json (for example 1.2.3 instead of ^1.2.3) to keep unauthorized code out of your dependency tree. ClawSecure checks every dependency against known CVE databases.

Related Security Research

OWASP ASI Top 10 Explained: The Complete Guide to AI Agent Security StandardsUnderstanding Our 3-Layer Audit ProtocolHow to Secure an MCP Server: The 2026 Guide

Related AI Agent Security Audits

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Scanned on February 7, 2026. best-practices-for-llm-prompt-engineering-palantir-4a296dff 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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