track-findings
Track validated Codex Security findings in Linear, Jira, GitHub issues, or draft GitHub security advisories. Use it for one finding or an explicitly selected batch of up to 25 findings tracked as Linear, Jira, or GitHub issues. Includes duplicate checks, exact previews, approval-gated writes, and readback. Do not use it for scans or fixes.
68
85%
Does it follow best practices?
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Adds up to 20 points to the overall score
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
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.
Why it was flagged
The required workflow ingests the sealed scan’s `scan-manifest.json` and `findings.json` (treated as untrusted data) and later uses their free-text fields (finding content, locations, evidence) to construct the provider payload and preview in the LLM context; since the scan content is not explicitly authored by the operating user and is treated as external/untrusted, this is an outsider free-text injection risk via the runtime scan-bundle file reads.
- Repository
- openai/plugins
- Commit
11c74d6
- Audited
- Security analysis
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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.