dtc-attribution-doctor@1.0.0
VERIFIED· install onlyPublisher claims: "Diagnose ROAS decline & attribution gaps for DTC storefronts. Compare true first-party ROAS vs Meta/Google reported ROAS. Covers growth health, ad performance, creative diagnosis, conversion, retention, budget optimization & profit analysis. 10 analysis suites. Powered by Convbox API." Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Nothing executable in the bundle ran; the trace covers the install step only.- Tested
- every file read, file written and host contacted by what ran
- Not tested
- use of the skill by an agent
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-11 and scored it 93/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 1 scenarios · 0 deviationsStatic findings
…even ROAS, acceptable GMV swing). **If the platform supports persistent memory, write the confirmed/overridden thresholds to `memory.md`** (shop-level baseline) so future runs reuse them without re-asking. ## 3. Pr…Fix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.No other findings across 4,951 lines in 47 files.
Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.