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A specialized MCP server that makes large technical documentation accessible to LLMs through intelligent chunking and retrieval. Supports OpenAPI specifications and markdown documents.
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 cisco-skill-scanner, 0 of them in the installed artifact. The composite score alone does not reflect this — read the per-scanner reports below.
Choose your runtime: the CLI writes the mcpServers config entry for that target.
nerlo install --target claude-code -- knowledge-server
Install respects the composite badge: Clean proceeds, Caution prompts for confirmation, and Flagged is refused. Write operations require an API token.
5 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
2 findings · 0.6s
v2.0.11
16 findings · 18.3s
v0.3.74
34 findings · 20.1s
v0.1.0
0 findings · 6.1s
v0.1.0
0 findings · 6.1s
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 · 2.0s
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: completecisco-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 52 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 51 findings stand exactly as their scanners reported them, at full severity, as they would have without this review.
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 Documentation or example — The match is in documentation or sample code, confirmed by our own check to be outside the installed artifact.
Rules: SOCIAL_ENG_VAGUE_DESCRIPTION · Files: /repo/samples/SKILL.md · reported by cisco-skill-scanner
47 The model's answer could not be read.
Rules: COMMAND_INJECTION_EVAL, AAK-LANGCHAIN-003, AAK-LANGCHAIN-001 and 17 more · Files: /repo/prototypes/test_gemma.py, requirements.txt, samples/SponsoredProducts_prod_3p.json and 27 more · reported by cisco-skill-scanner, agent-audit-kit, agentshield
4 The model called these false positives and our own check did not agree, so the dismissal was refused.
Rules: SOCIAL_ENG_VAGUE_DESCRIPTION, MANIFEST_MISSING_LICENSE · Files: /repo/SKILL.md, /repo/open-api-small-samples/3.0/json/openapi-workshop/SKILL.md · reported by cisco-skill-scanner
No summary was published. A summary was drafted and rejected: it pitched the concern lower than our own count of what is left standing allows.