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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.
pypi: my-mcp-server @ 0.1.0, 0 findings
Choose your runtime: the CLI writes the mcpServers config entry for that target.
nerlo install --target claude-code -- my-mcp-server
Install respects the composite badge: Clean proceeds, Caution prompts for confirmation, and Flagged is refused. Write operations require an API token.
6 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 · 7.5s
v0.3.74
1 finding · 0.8s
v0.1.0
0 findings · 3.6s
v0.1.0
0 findings · 3.6s
v0.1.0
0 findings · 7.7s
v0.71.0
0 findings · 0.2s
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
v2.3.8
No dependency manifest or lockfile was found in this artifact. What each scanner covers
0 findings · 0.2s
v0.71.0
No container image was published for this artifact. What each scanner covers
0 findings · 0.0s
vv1.6.0
No Go modules were found in this artifact. What each scanner covers
0 findings · 0.1s
1 scan on record. Every scan's full results are retained immutably for 24 months.
| Completed | Composite | Change | Scanners | Status |
|---|---|---|---|---|
| Aug 19, 2026 | Clean100 | — | agentshield ·n/a: not applicablecisco-skill-scanner: completeagent-audit-kit: completenerlo-behavioral: completenerlo-install-instruction: completecapslock ·n/a: not applicablenerlo-multi-source: completetrivy: completeosv-scanner ·n/a: not applicabletrivy_image ·n/a: not applicablegovulncheck ·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 Clean badge are computed from those raw severities alone. Nothing below moved them.
Out of 3 findings across every scanner that examined this package.
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.
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
High severity findings in core application code
Multiple high severity findings are present in `/repo/main.py`. These findings indicate potential for credential access or sensitive data exposure within the core application logic. Reviewing these specific findings is essential to understand the full scope of risk.
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.