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Kubernetes cluster operations via dot-ai CLI - natural language cluster queries, AI-powered deployment recommendations, issue troubleshooting and remediation, Day 2 operations (scale, update, rollback, delete), resources, namespaces, events, logs, organizational knowledge base (ingest, search, query), organizational patterns/policies/capabilities management, project scaffolding and repo audit, and session history and visualization. Run `dot-ai --help` for commands.
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.
3 critical findings 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 -- 'vfarcic/dot-ai-infra (dot-ai)'
Manual alternative: copy the skill folder into ~/.claude/skills/ so Claude Code loads it on next launch.
cp -r -- 'vfarcic/dot-ai-infra (dot-ai)' ~/.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.
v1.4.0
Incomplete run
0 findings · 0.6s
v2.0.11
45 findings · 6.7s
v0.3.74
9 findings · 1.1s
v0.1.0
0 findings · 2.6s
v0.1.0
No source files this scanner can analyze were found in this artifact. What each scanner covers
0 findings · 2.6s
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 · 0.9s
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 22, 2026 | Scan Halted | — | agentshield ·!: incompletecisco-skill-scanner: completeagent-audit-kit: completenerlo-behavioral ·n/a: not applicablenerlo-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 54 findings across every scanner that examined this package. None of the 3 findings rated critical by their scanner were dismissed.
Two keys had to turn. The model had to name a reason from a fixed list of six, and a deterministic check of ours — over which files this artifact actually installs — had to independently agree. Anything it could not corroborate is in “not reviewed” above, at full severity.
1 Agent instruction file — The match is in a file that instructs an AI coding agent — a CLAUDE.md or similar. It is documentation of intent, and our own check confirmed it is not part of what gets installed.
Rules: AAK-AGENT-002 · Files: CLAUDE.md · reported by agent-audit-kit
1 CI or editor configuration — The match is in build, CI or editor configuration, confirmed by our own check to be outside the installed artifact.
Rules: AAK-GHA-IMMUTABLE-001 · Files: .github/workflows/create-solution.yaml · reported by agent-audit-kit
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.
33 MANIFEST_MISSING_LICENSE
Files: /repo/.claude/skills/dot-ai-worktree-prd/SKILL.md, /repo/.claude/skills/dot-ai-prd-next/SKILL.md, /repo/.claude/skills/dot-ai-tag-release/SKILL.md and 30 more · reported by cisco-skill-scanner
4 MANIFEST_INVALID_NAME
Files: /repo/.claude/skills/dot-ai-projectSetup/SKILL.md, /repo/.claude/skills/dot-ai-manageOrgData/SKILL.md, /repo/.claude/skills/dot-ai-impact_analysis/SKILL.md and 1 more · reported by cisco-skill-scanner
4 SOCIAL_ENG_VAGUE_DESCRIPTION
Files: /repo/SKILL.md, /repo/prds/SKILL.md, /repo/prds/done/SKILL.md and 1 more · reported by cisco-skill-scanner
3 HIDDEN_DATA_FILE
Files: /repo/.dot-agent-deck.toml, /repo/.env.vals.yaml, /repo/.mcp-kubernetes.json · reported by cisco-skill-scanner
2 AAK-MCP-001
Files: .mcp.json, .mcp-kubernetes.json · reported by agent-audit-kit
2
Artifact contains critical trust and platform configuration findings.
The artifact includes critical findings related to trust settings in `.claude/settings.json`, which may impact credential access or secure communication. Critical findings also exist in `.mcp-kubernetes.json` and `.mcp.json` concerning Multi-Cloud Platform configuration. Additionally, high-severity trust configuration issues are present in `.claude/settings.json`.
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.
Files: .mcp.json, .mcp-kubernetes.json · reported by agent-audit-kit
1 AAK-TRUST-001
Files: .claude/settings.json · reported by agent-audit-kit
1 AAK-TRUST-004
Files: .claude/settings.json · reported by agent-audit-kit
1 AAK-TRUST-006
Files: .claude/settings.json · reported by agent-audit-kit
1 FILE_MAGIC_MISMATCH
Files: /repo/renovate.json · reported by cisco-skill-scanner