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MCP server that checks a social post against a platform's real character limit — X t.co URL weighting, Bluesky graphemes, LinkedIn, Threads, Mastodon. Pure compute, no network.
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.
npm: @conorbronsdon/postlint-mcp @ 1.1.0, 0 findings
Choose your runtime: the CLI writes the mcpServers config entry for that target.
nerlo install --target claude-code -- @conorbronsdon/postlint-mcp
Install respects the composite badge: Clean proceeds, Caution prompts for confirmation, and Flagged is refused. Write operations require an API token.
8 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 · 0.5s
v2.0.11
9 findings · 6.4s
v0.3.26
4 findings · 0.8s
v0.1.0
0 findings · 26.8s
v0.1.0
0 findings · 26.8s
v0.1.0
0 findings · 17.0s
v0.71.0
0 findings · 0.2s
v2.3.8
0 findings · 6.5s
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.
1 scan on record. Every scan's full results are retained immutably for 24 months.
| Completed | Composite | Change | Scanners | Status |
|---|---|---|---|---|
| Aug 3, 2026 | Caution96 | — | agentshield: completecisco-skill-scanner: completeagent-audit-kit: completenerlo-behavioral: completenerlo-install-instruction: completenerlo-multi-source: completetrivy: completeosv-scanner: completetrivy_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 Caution badge are computed from those raw severities alone. Nothing below moved them.
Out of 13 findings across every scanner that examined this package.
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.
6 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, MANIFEST_MISSING_LICENSE, MANIFEST_INVALID_NAME · Files: /repo/.github/SKILL.md, /repo/.github/ISSUE_TEMPLATE/SKILL.md · reported by cisco-skill-scanner
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.
1 AAK-ANTHROPIC-SDK-001
Files: src/index.ts · reported by agent-audit-kit
1 AAK-DNS-REBIND-002
Files: package.json · reported by agent-audit-kit
1 AAK-MCP-018
Files: src/server.ts · reported by agent-audit-kit
1 AAK-OAUTH-3P-001
Files: package.json · reported by agent-audit-kit
1 LOW_ANALYZABILITY
Files: /repo · reported by cisco-skill-scanner
1 MANIFEST_MISSING_LICENSE
Files: /repo/SKILL.md · reported by cisco-skill-scanner
1 SOCIAL_ENG_VAGUE_DESCRIPTION
Files: /repo/SKILL.md · reported by cisco-skill-scanner
Artifact has DNS rebind vulnerability and uses Anthropic SDK.
The artifact contains a high-severity DNS rebind vulnerability identified in `package.json`, which could enable network traffic redirection. It also incorporates the Anthropic SDK within `src/index.ts`, indicating capabilities for AI model interaction and potential data egress. These capabilities warrant careful review before deployment.
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.