go-concurrency
Warn
Audited by Gen Agent Trust Hub on Sep 29, 2026
Risk Level: MEDIUMMETADATA_POISONINGPROMPT_INJECTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [METADATA_POISONING]: The skill contains deceptive technical information throughout its documentation and configuration fields. Specifically, the frontmatter in
SKILL.mdand content inreferences/goroutine-leaks.mdclaim support for Go version 1.26 and reference a non-existentgoroutineleakprofileruntime experiment. It also cites a hallucinated documentation URL (https://go.dev/doc/go1.26). This misinformation may lead developers or agents to attempt to use non-functional features or adopt incorrect concurrency assumptions based on the purported future version of the language. - [PROMPT_INJECTION]: The
Agent Workflow (MANDATORY)section inSKILL.mduses imperative language to force the agent to follow a specific sequence of actions, including spawning three sub-agents (fuse-ai-pilot:explore-codebase,fuse-ai-pilot:research-expert, andmcp__context7__query-docs). This attempts to override the agent's autonomous task planning by mandating external tool invocations as a prerequisite for any implementation. - [INDIRECT_PROMPT_INJECTION]: The skill presents an attack surface where it processes external data without adequate safety boundaries.
- Ingestion points: The
FetchAllfunction template inreferences/templates/errgroup-patterns.mdaccepts a slice of URLs (urls []string) for processing. - Boundary markers: There are no markers or instructions provided to the agent to treat this input as potentially untrusted or to ignore embedded instructions.
- Capability inventory: The skill uses the
httppackage (specificallyhttp.DefaultClient.Do) to perform network requests anderrgroupfor concurrent execution, providing a mechanism for fanned-out network operations. - Sanitization: The provided code templates lack any input validation, URL sanitization, or filtering, which could allow for Server-Side Request Forgery (SSRF) if the agent is directed to process untrusted lists of URLs.
Audit Metadata