gaelic-ghost/socket/check-artifact-reputation

Claude Code and agent skill by gaelic-ghost/socket

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Check reputation for a suspicious artifact, signer, hash, URL, domain, certificate, package, or vendor. Use when threat intelligence informs triage while privacy, stale data, false positives, and behavior limits stay explicit.

Install

npx vskill@latest install gaelic-ghost/socket/check-artifact-reputation

SKILL.md

Check Artifact Reputation

Overview

Gather provenance and intelligence without treating popularity, valid signing, a clean lookup, or a vendor label as a safety verdict. Prefer local identity and vendor sources before sending data to third parties.

Read references/reputation-evidence.md for source ordering and interpretation.

Workflow

  1. Fix identity.
  • Record artifact hashes, signer/certificate, exact version, source URL, domain, resolved destinations, and acquisition time.
  1. Check local evidence.
  • Inspect quarantine/provenance, signature/notarization, known installation records, local security detections, and expected vendor distribution paths.
  1. Check authoritative sources.
  • Prefer vendor advisories, release checksums/signatures, certificate status, official repositories, and current platform security sources.
  • Date each lookup.
  1. Decide whether external intelligence is appropriate.
  • Explain whether the service receives only a hash/domain or may upload/retain the artifact.
  • Obtain explicit approval before sending private artifacts, URLs, customer data, or unknown binaries.
  1. Correlate results.
  • Record detection names, engines/sources, first/last seen, submission context, prevalence, relations, and conflicting classifications.
  • Distinguish “not present” from “known benign.”
  1. Feed behavior analysis.
  • Use reputation to prioritize static/dynamic checks, not replace them.

Output

Return identity, sources/date, privacy decision, reputation observations, conflicts, interpretation limits, confidence effect, and next behavioral check.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
7
7-day trend score
10

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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