skills/whatiskadudoing/fp-ts-skills/Function Composition - Building from Small Pieces/Gen Agent Trust Hub
Function Composition - Building from Small Pieces
Pass
Audited by Gen Agent Trust Hub on Feb 13, 2026
Risk Level: LOWNO_CODE
Full Analysis
The skill consists solely of a Markdown file providing a tutorial on functional programming concepts like pipe and flow in TypeScript. It includes numerous TypeScript code examples to illustrate these concepts. No executable instructions for the AI agent were found within the skill's content.
- Prompt Injection: No patterns indicative of prompt injection (e.g., 'IMPORTANT: Ignore', 'CRITICAL: Override', role-play instructions) were found in the skill's text or metadata.
- Data Exfiltration: The skill contains TypeScript code examples that use
fetchfor illustrative API calls (e.g., tohttps://api.example.comor relative paths like/api/users). These are part of non-executable code examples and do not instruct the agent to perform any actual data exfiltration. No sensitive file paths were referenced. - Obfuscation: No obfuscation techniques such as Base64 encoding, zero-width characters, Unicode homoglyphs, or URL/hex/HTML encoding were detected.
- Unverifiable Dependencies: The TypeScript examples reference external libraries like
fp-ts/functionandfp-ts/Array. However, there are no instructions for the agent to install or execute these dependencies.fp-tsis a well-known and reputable functional programming library. Since the skill is purely descriptive, these are merely references within code examples, not actual dependencies for the agent's execution. - Privilege Escalation: No commands or patterns associated with privilege escalation (e.g.,
sudo,chmod 777) were found. - Persistence Mechanisms: No attempts to establish persistence (e.g., modifying
.bashrc, creating cron jobs) were detected. - Metadata Poisoning: The YAML front matter (name, description, author, tags) was reviewed and found to be benign and accurately descriptive of the skill's content.
- Indirect Prompt Injection: As a purely descriptive and educational skill, it does not process external user-supplied data in a way that would make it susceptible to indirect prompt injection.
- Time-Delayed / Conditional Attacks: No conditional logic or time-based triggers for malicious behavior were identified.
Conclusion: The skill is a well-structured educational resource. It does not contain any executable components or malicious instructions for the AI agent. All code snippets are illustrative TypeScript examples.
Audit Metadata