think
Fail
Audited by Gen Agent Trust Hub on Oct 7, 2026
Risk Level: HIGHCREDENTIALS_UNSAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [CREDENTIALS_UNSAFE]: The skill explicitly instructs the agent to read sensitive local configuration files which commonly contain secrets, API keys, and environment variables.
- Evidence: In
SKILL.md, the 'Before Reading Any Code' section states: 'open the project's actual config file (e.g. app.config.json, tauri.conf.json, package.json, .env) and lift the live value.' - Evidence: The 'Validate Before Handing Off' section requires that 'Every API key, token, and third-party account the plan requires listed with one-line explanations.'
- Accessing
.envfiles is a high-risk activity as they are the standard location for storing sensitive project credentials. - [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process a wide variety of potentially untrusted data sources to formulate plans, which can lead to the execution of malicious instructions embedded in that data.
- Ingestion points: The agent is directed to read 'project docs, live external docs' (
SKILL.md), 'ADRs, design docs, issue threads' (SKILL.md), and 'local agent-memory summaries' (references/durable-context.md). It also suggests studying implementations of 'mature open-source projects or direct competitors'. - Boundary markers: While the skill includes a 'redaction gate' in
references/durable-context.mdto strip sensitive information when creating durable rules, it lacks explicit delimiters or instructions to ignore embedded commands when processing general external documentation or issue trackers. - Capability inventory: The skill has the capability to read local files (including credentials), verify the reachability of external APIs and MCP servers, and execute implementation steps if authorized by specific user phrases.
- Sanitization: There is no mention of sanitizing or escaping content retrieved from external documentation or public repositories before it is incorporated into the agent's reasoning process.
Recommendations
- AI detected serious security threats
Audit Metadata