social-persona-profiling@1.0.14
VERIFIED· install onlyPublisher claims: "Profile people from social-media traces — avatar, profile/cover background, nickname, privacy/visibility settings, chat behavior, shared content, self-reported labels — across platforms (WeChat, WhatsApp, Instagram, LinkedIn, Telegram, X) and cultures, and deliver an honest, evidence-weighted persona read, relationship analysis, or "what should I do next" guidance. Built for anyone sizing up a colleague, date, friend, or stranger from limited online signals. Capabilities: Big Five (OCEAN) trait estimation, self-presentation & self-monitoring (Goffman/Snyder), Higgins self-discrepancy, defense mechanisms (Vaillant), attachment and burnout signals, three-layer persona mapping (public persona / private self / self-reported), relationship-crisis attribution, and exploratory non-directive next-step discussion by scenario (workplace / dating / friendship / scam detection). Safeguards: three-tier confidence grading (objective fact / behavioral inference / working hypothesis), moderator adjustment for age, culture (individualist vs collectivist), platform, personality baseline and digital-native generation, projection-symmetry check, and a Barnum-effect filter that deletes any statement true of anyone." 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 2026-11-10 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
No findings across 446 lines in 5 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.