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Remove background de imagens usando rembg (IA). Use esta skill sempre que o usuário pedir para remover fundo/background de imagem, recortar sujeito, criar PNG com transparência, isolar sujeito do fundo, ou mencionar 'rembg'. Também ativa quando o usuário referencia uma imagem e quer extrair o sujeito ou tornar o fundo transparente. Inclui setup automático em virtualenv isolado.
Claude Skills are markdown + scripts loaded into Claude Code; scanned with the same pipeline.
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.
1 critical finding reported by agent-audit-kit. The composite score alone does not reflect this — read the per-scanner reports below.
Claude Skills install to a single target, no runtime picker.
nerlo install -- 'hmaurus/masterclaude (remove-bg)'
Manual alternative: copy the skill folder into ~/.claude/skills/ so Claude Code loads it on next launch.
cp -r -- 'hmaurus/masterclaude (remove-bg)' ~/.claude/skills/
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
21 findings · 12.2s
v0.3.74
11 findings · 2.4s
v0.1.0
10 findings · 6.8s
v0.1.0
3 findings · 6.8s
v1.4.0
None of the entry points this scanner reads were found in this artifact. What each scanner covers
0 findings · 0.3s
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 · 1.3s
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 45 findings across every scanner that examined this package. None of the 1 finding rated critical by their scanner were dismissed.
Not reviewed is not the same as clean. Those 14 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 DATA_EXFIL_JS_NETWORK
Files: /repo/plugins/linkedin/oauth.js, /repo/plugins/linkedin/server.js · reported by cisco-skill-scanner
6 opt.nerlo-rules.nerlo-js-secret-to-network-egress
Files: /repo/plugins/linkedin/oauth.js, /repo/plugins/linkedin/server.js · reported by nerlo-behavioral
5 DATA_EXFIL_JS_FS_ACCESS
Files: /repo/plugins/linkedin/oauth.js, /repo/plugins/linkedin/server.js · reported by cisco-skill-scanner
4 opt.nerlo-rules.nerlo-hardcoded-external-egress
Files: /repo/plugins/linkedin/oauth.js, /repo/plugins/linkedin/server.js · reported by nerlo-behavioral
3 opt.nerlo-rules.nerlo-install-run-bundled-artifact
Files: /repo/plugins/image-tools/skills/split/scripts/split.py, /repo/plugins/image-tools/skills/transform/scripts/transform.py · reported by nerlo-install-instruction
2 AAK-MCP-018
Files: plugins/linkedin/server.js, plugins/linkedin/oauth.js · reported by agent-audit-kit
1 AAK-LEGAL-002
Files: plugins/linkedin/package.json · reported by agent-audit-kit
1 AAK-MCP-MARKETPLACE-CONFIG-FETCH-001
Files: plugins/linkedin/server.js · reported by agent-audit-kit
1 AAK-OAUTH-004
Files: plugins/linkedin/oauth.js · reported by agent-audit-kit
1 AAK-OAUTH-006
Files: plugins/linkedin/oauth.js · reported by agent-audit-kit
1 AAK-OAUTH-007
Files: plugins/linkedin/oauth.js · reported by agent-audit-kit
13 The model called these false positives and our own check did not agree, so the dismissal was refused.
Rules: AAK-MARKETPLACE-001, SOCIAL_ENG_VAGUE_DESCRIPTION, MANIFEST_MISSING_LICENSE · Files: .claude-plugin/marketplace.json, /repo/SKILL.md, /repo/plugins/pdir-workflow/SKILL.md and 6 more · reported by agent-audit-kit, cisco-skill-scanner
1 The model gave no reason we were willing to publish, and a verdict without one is not usable evidence.
Rules: AAK-MCP-SSRF-001 · Files: plugins/linkedin/server.js · reported by agent-audit-kit
Critical credential access and data exfiltration risks identified.
This artifact exhibits critical findings related to credential access and configuration fetching in `plugins/linkedin/server.js` and `plugins/linkedin/oauth.js`. It also has high-severity findings indicating potential network egress of secrets from `plugins/linkedin/oauth.js` and `plugins/linkedin/server.js`, alongside file system access in the same LinkedIn plugin files. Additionally, the artifact includes high-severity shell execution capabilities in image processing scripts like `remove_bg.py` and `remove_watermark.py`.
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.