agent-academy-report
Generate a full Agent Academy feedback report — extracting feedback from Excel files and GitHub issues, analyzing sentiment, generating charts, and producing a single styled PDF with a cover page, management summary, and detailed analysis. Use this skill when the user asks to generate an Agent Academy report, create a feedback analysis, build a course completion report, or wants to analyze Agent Academy survey data. Also triggers when the user mentions Agent Academy feedback, course grades, sentiment analysis of Agent Academy data, or exporting Agent Academy results to PDF.
74
92%
Does it follow best practices?
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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
High: the required runtime workflow ingests outsider-authored free text from public GitHub issues (issue titles/bodies pulled via `mcp_github_mcp_list_issues` described in SKILL.md Phase 1 Step 1→3), writes it into `_all_feedback.json` as `text`, then the scripts read it and ultimately render it into markdown/HTML/PDF context (e.g., `scripts/analyze_sentiment.py` loads `_all_feedback.json` and propagates `r['text']` into outputs consumed by `scripts/build_markdown.py`).
- Repository
- microsoft/agent-academy
- Commit
a5e6b52
- Audited
- Security analysis
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