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MCP server that validates and formats git commit messages per the Udacity Git Commit Message Style Guide.
The publisher performed an authenticated act of publication — proving control of a namespace in the official MCP registry, or appearing in a first-party catalogue an operator curates. That establishes WHO published it. It is not a security finding, and attested artifacts carry Flagged verdicts too.
Choose your runtime: the CLI writes the mcpServers config entry for that target.
nerlo install --target claude-code -- mcp-udacity-commit
Install respects the composite badge: Clean proceeds, Caution prompts for confirmation, and Flagged is refused. Write operations require an API token.
8 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.
v1.4.0
0 findings · 1.5s
v2.0.11
3 findings · 11.1s
v0.3.26
5 findings · 2.4s
v0.1.0
0 findings · 30.2s
v0.1.0
0 findings · 30.2s
v0.1.0
0 findings · 19.6s
v0.71.0
0 findings · 0.4s
v2.3.8
0 findings · 13.9s
v0.71.0
No container image was published for this artifact. What each scanner covers
0 findings · 0.0s
No report in this scan: capslock, govulncheck.
1 scan on record. Every scan's full results are retained immutably for 24 months.
| Completed | Composite | Change | Scanners | Status |
|---|---|---|---|---|
| Jul 31, 2026 | Flagged96 | — | agentshield: completecisco-skill-scanner: completeagent-audit-kit: completenerlo-behavioral: completenerlo-install-instruction: completenerlo-multi-source: completetrivy: completeosv-scanner: completetrivy_image ·n/a: not applicable | completed |
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 8 findings across every scanner that examined this package.
These findings are in files this artifact installs and are not placeholder values. No false-positive basis can be corroborated for such a finding, so this review never dismisses one; they were not sent to the model and stand at their scanner's severity.
2 AAK-ANTHROPIC-SDK-001
Files: test-client.mjs, src/index.ts · reported by agent-audit-kit
1 AAK-MCP-018
Files: src/index.ts · reported by agent-audit-kit
1 AAK-OAUTH-3P-001
Files: package.json · reported by agent-audit-kit
1 AAK-SEC-MD-001
Files: SECURITY.md · reported by agent-audit-kit
1 LOW_ANALYZABILITY
Files: /repo · reported by cisco-skill-scanner
1 MANIFEST_MISSING_LICENSE
Files: /repo/SKILL.md · reported by cisco-skill-scanner
1 SOCIAL_ENG_VAGUE_DESCRIPTION
Files: /repo/SKILL.md · reported by cisco-skill-scanner
Artifact uses AI SDK with potential for data exposure.
The artifact includes an AI SDK that can transmit data to an external service, identified in `src/index.ts`. This capability carries a risk of sensitive information being sent outside the local environment. Additionally, the artifact handles OAuth tokens and other credentials, which could lead to unauthorized access if not properly secured. Further attention is warranted for the use of an AI SDK and credential management.
Concern level assessed by the review: High. 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.