posthog:llma-cc-ingest — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited posthog:llma-cc-ingest (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Manually send a Claude Code session log to PostHog LLM Analytics.
The argument $ARGUMENTS can be:
14a1687c-1937-4719-921d-cb2400d7a114)~/.claude/projects/-Users-me-myproject/14a1687c.jsonl)python3 ${CLAUDE_PLUGIN_ROOT}/scripts/llma_cc_ingest.py $ARGUMENTSIf no argument is provided, list recent sessions and let the user choose:
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/llma_cc_ingest.py --list~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.