Review requirements, plans, or specs with role-specific lenses. Use when the user wants to improve an existing planning document.
66
80%
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Critical
Do not install without reviewing
Fix and improve this skill with Tessl
tessl review fix ./skills/ce-doc-review/SKILL.mdSecurity
2 findings: 1 critical severity, 1 high severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
The skill deliberately embeds and sends full document content to external model providers (a clear data-egress capability that can disclose sensitive content, and which in headless mode can run with minimal user-facing disclosure), posing a high risk of unintended data exfiltration or credential leakage if misconfigured or abused.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The skill explicitly passes full document content to subagents and requires including an "{evidence_snippet}" (a quoted excerpt of findings) verbatim in the decision primer, so any secrets present in documents (API keys, tokens, passwords) would be read and emitted unchanged by the model.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
This skill ingests the document under review (which is outsider-authored when the operating user did not author/choose to introduce it), then passes `{document_content}`/full document text into the in-context prompts for multiple subagents and also egresses full document text to cross-model peer prompts, creating a runtime prompt-injection channel.
a9f6d53
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.