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GetAppNiche MCP — live App Store & Google Play data for AI agents: app discovery, ASO keyword scoring, reviews. Zero-dependency stdio bridge to the hosted Streamable HTTP endpoint.
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 -- @getappniche/mcp
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.
v1.4.0
0 findings · 3.2s
v2.0.11
9 findings · 21.9s
v0.3.26
3 findings · 3.9s
v0.1.0
2 findings · 37.8s
v0.1.0
0 findings · 37.8s
v0.1.0
0 findings · 25.1s
v0.71.0
No dependency manifest or lockfile was found in this artifact. What each scanner covers
0 findings · 0.5s
v2.3.8
No dependency manifest or lockfile was found in this artifact. What each scanner covers
0 findings · 0.4s
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.
2 scans on record. Every scan's full results are retained immutably for 24 months.
| Completed | Composite | Change | Scanners | Status |
|---|---|---|---|---|
| Sep 11, 2026 | Pending scan | — | — | failed |
| Jul 31, 2026 | Flagged88 | — | agentshield: completecisco-skill-scanner: completeagent-audit-kit: completenerlo-behavioral: completenerlo-install-instruction: completenerlo-multi-source: completetrivy ·n/a: not applicableosv-scanner ·n/a: not applicabletrivy_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 14 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 DATA_EXFIL_NETWORK_REQUESTS
Files: /repo/server.py · reported by cisco-skill-scanner
2 MANIFEST_MISSING_LICENSE
Files: /repo/SKILL.md, /repo/secrets/SKILL.md · reported by cisco-skill-scanner
2 SOCIAL_ENG_VAGUE_DESCRIPTION
Files: /repo/SKILL.md, /repo/secrets/SKILL.md · reported by cisco-skill-scanner
1 AAK-SEC-MD-001
Files: SECURITY.md · reported by agent-audit-kit
1 AAK-SECRET-004
Files: server.py · reported by agent-audit-kit
1 AAK-SUPPLY-004
Files: package.json · reported by agent-audit-kit
1 DATA_EXFIL_JS_NETWORK
Files: /repo/bin/cli.mjs · reported by cisco-skill-scanner
1 LOW_ANALYZABILITY
Files: /repo · reported by cisco-skill-scanner
1 opt.nerlo-rules.nerlo-js-secret-to-network-egress
Files: /repo/bin/cli.mjs · reported by nerlo-behavioral
1 opt.nerlo-rules.nerlo-py-secret-to-network-egress
Files: /repo/server.py · reported by nerlo-behavioral
1 TOOL_ABUSE_UNDECLARED_NETWORK
Files: /repo/repo/README.md · reported by cisco-skill-scanner
Artifact handles secrets and performs network egress.
The artifact processes secrets and performs network egress, which could expose sensitive information. Specifically, a high-severity finding indicates that secrets are handled in `server.py` and `cli.mjs` and are subsequently used in network communication. Another high-severity finding highlights credential access in `server.py`.
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.