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This is the MCP server for Youtube Content Management
We found this by crawling public sources and nobody has attested to it. That is how most of the registry gets here, and it is not a mark against the artifact — it only means no authenticated act of publication is on record. An artifact can be the vendor's own and still appear here.
6 critical findings reported by agent-audit-kit. The composite score alone does not reflect this — read the per-scanner reports below.
Choose your runtime: the CLI writes the mcpServers config entry for that target.
nerlo install --target claude-code -- youtube-content-management-mcp
Install respects the composite badge: Clean proceeds, Caution prompts for confirmation, and Flagged is refused. Write operations require an API token.
4 of 11 scanners examined this package. The rest do not apply to it — language, ecosystem and packaging decide which analyzers can say anything, and a scanner that cannot examine an artifact reports nothing rather than passing it.
v2.0.11
2 findings · 9.3s
v0.3.74
14 findings · 1.1s
v0.1.0
0 findings · 4.1s
v0.1.0
0 findings · 4.1s
v1.4.0
None of the entry points this scanner reads were found in this artifact. What each scanner covers
0 findings · 0.2s
vv0.3.2
No Go packages were found in this artifact. What each scanner covers
0 findings · 0.1s
v0.1.0
This scanner found nothing in this artifact that it assesses. What each scanner covers
0 findings · 2.0s
No report in this scan: govulncheck, osv-scanner, trivy, trivy_image.
1 scan on record. Every scan's full results are retained immutably for 24 months.
| Completed | Composite | Change | Scanners | Status |
|---|---|---|---|---|
| Aug 20, 2026 | Scan Halted | — | agentshield ·n/a: not applicablecisco-skill-scanner: completeagent-audit-kit: completenerlo-behavioral: completenerlo-install-instruction: completecapslock ·n/a: not applicablenerlo-multi-source ·n/a: not applicable | rejected |
Findings in files this artifact installs stand as reported; a model re-read the rest and said which ones it believes are false positives. This is a second opinion published beside the evidence, not a correction to it: the per-scanner reports above are unchanged, every dismissed finding is still listed there at its original severity, and the score and the Flagged badge are computed from those raw severities alone. Nothing below moved them.
Out of 16 findings across every scanner that examined this package. None of the 6 findings rated critical by their scanner were dismissed.
Not reviewed is not the same as clean. Those 3 findings stand exactly as their scanners reported them, at full severity, as they would have without this review.
The model could have called any of these a false positive and did not.
6 AAK-SSRF-001
Files: tools/get_playlist_metrics.py, tools/get_channel_metrics.py, tools/search_channels.py and 3 more · reported by agent-audit-kit
6 AAK-SSRF-005
Files: tools/get_playlist_metrics.py, tools/get_channel_metrics.py, tools/search_channels.py and 3 more · reported by agent-audit-kit
1 AAK-SUPPLY-004
Files: pyproject.toml · reported by agent-audit-kit
2 The model called these false positives and our own check did not agree, so the dismissal was refused.
Rules: AAK-SEC-MD-001, MANIFEST_MISSING_LICENSE · Files: SECURITY.md, /repo/SKILL.md · reported by agent-audit-kit, cisco-skill-scanner
1 The model did not answer for these findings.
Rules: SOCIAL_ENG_VAGUE_DESCRIPTION · Files: /repo/SKILL.md · reported by cisco-skill-scanner
Critical network egress vulnerabilities found.
The artifact contains critical Server-Side Request Forgery (SSRF) vulnerabilities in multiple `tools/*.py` files, including `fetch_transcripts.py`, `get_channel_metrics.py`, `get_playlist_metrics.py`, `get_video_metrics.py`, `search_channels.py`, and `search_videos.py`. These findings indicate that the artifact can be directed to perform network egress to arbitrary destinations. Additionally, high severity SSRF findings are present in the same files, further highlighting the network egress capability.
Concern level assessed by the review: Critical. This is the review's scale, not the registry badge.
Reviewed by gemini-2.5-flash. The model sees the findings, not your code, and cannot change a score.