Automated summary
Guides an agent through discovering and analyzing a person's social media profiles and digital footprint for background verification and due diligence.
Strengths
- Covers multiple platforms (Facebook, Twitter, LinkedIn, Instagram, TikTok) through a dedicated tool
- Structures the analysis into clear axes: profile discovery, content, network, activity patterns and verification status
- Ships concrete investigation scenarios (board candidate, identity check, fraud, business partner)
- Calls out common pitfalls: fake profiles, minimal online presence, cultural and generational differences
Limitations
- Relies entirely on the `src.tools.social_media` tool; without it the skill has no means of action
- Provides no risk-scoring rubric or cross-referencing method beyond general principles
- Legal and ethical guidance stays high-level (no consent handling, no GDPR compliance workflow)
Use it to assess someone's public online presence for hiring, partnership vetting, or suspected fraud.
Avoid it when the subject has not consented and the legal basis hasn't been cleared, or when a quick factual lookup is all you need.
Security analysis
SafeThe skill is purely instructional and delegates all work to one declared read-only social-media tool. There are no curl|sh pipes, filesystem deletions, base64 payloads, secret/token exfiltration, or requests to disable safety controls. The main residual risk is privacy-related (surveillance/doxxing potential), which is a policy concern rather than an execution hazard, and the skill itself includes guidance to respect privacy settings, ToS, and legal/ethical limits.
- •Skill facilitates collection and analysis of personal data about individuals (OSINT); privacy and misuse risk depends on the operator, though the notes explicitly call for respecting privacy settings, platform ToS, and legal/ethical constraints.
- •No executable code, shell commands, network fetches, or credential handling are present; only a single declared first-party tool (src.tools.social_media) is used.
Examples
Investigate the public social media presence of Michael Thompson, a candidate for our board of directors — check whether his LinkedIn matches the experience he claims and flag any reputation risks.Verify whether the applicant 'Jane Smith' is a real identity: cross-check her LinkedIn, Facebook and Instagram for consistency in photos, location history and work history.Run a due diligence check on Sarah Chen, co-founder of a startup we're considering partnering with — summarize her professional network and any red flags.name: "Social Media Investigation" description: "Find and analyze social media profiles and digital presence" allowed-tools:
- src.tools.social_media
Social Media Investigation
Purpose
Discover and analyze social media profiles, online presence, and digital footprint for background checks, due diligence, and investigative purposes.
When to Use
- Executive and employee background verification
- Digital footprint analysis for due diligence
- Investigation of potentially fraudulent identities
- Reputation risk assessment for business partnerships
- Verification of claims made in applications or interviews
- Analysis of professional networks and associations
- Investigation of suspicious online activities
- Compliance screening for public-facing roles
How to Use
The social media tool searches across multiple platforms and analyzes:
- Profile Discovery: Facebook, Twitter, LinkedIn, Instagram, TikTok, others
- Content Analysis: Posts, photos, videos, comments, professional content
- Network Analysis: Connections, followers, professional associations
- Activity Patterns: Posting frequency, engagement levels, timeline
- Verification Status: Verified accounts, blue checkmarks, authenticity
- Professional Presence: Work history, skills, endorsements, recommendations
Examples
Executive background check:
Subject: Michael Thompson, proposed board member
Investigation: LinkedIn confirms claimed experience, professional network
Red flags: Twitter posts with controversial political views
Assessment: Professional qualifications verified, reputation risk identified
Identity verification:
Applicant: Jane Smith claims specific background
Analysis: LinkedIn profile matches resume, Facebook confirms location history
Photos: Consistent personal photos across platforms
Conclusion: Identity appears authentic and verified
Fraud investigation:
Suspect: "John Davis" in investment scheme
Investigation: No credible social media presence found
Red flags: Generic photos, minimal online footprint
Evidence: Likely fraudulent identity with manufactured background
Due diligence on business partner:
Individual: Sarah Chen, startup co-founder
Research: Active tech industry presence, speaking engagements
Network: Connections to legitimate VCs and tech leaders
Assessment: Credible background and industry reputation
Important Notes
- Respect privacy settings and platform terms of service
- Consider authenticity - profiles can be fake or manipulated
- Social media content may not reflect current views or circumstances
- Be aware of cultural and generational differences in social media use
- Some individuals deliberately maintain minimal online presence
- Cross-reference information across multiple platforms for accuracy
- Consider legal and ethical implications of social media investigation
- Document findings carefully while respecting privacy rights
- Be aware that absence of social media presence isn't necessarily suspicious
From the file to a first result
The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.
View the source and supporting filesThis download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.
1. Download the file
Download SKILL.mdFrom the root of a test project, save the file as .skill-downloads/social-media-investigation-mrzxupza/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.
Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.
mkdir -p '.skill-downloads/social-media-investigation-mrzxupza' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/social-media-investigation-mrzxupza/download' --output '.skill-downloads/social-media-investigation-mrzxupza/SKILL.md.part' && mv '.skill-downloads/social-media-investigation-mrzxupza/SKILL.md.part' '.skill-downloads/social-media-investigation-mrzxupza/SKILL.md'2. Check prerequisites
Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.
No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.
The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.
3. Load the skill
This file does not provide a usable name/description header for this native procedure. It remains available to download and inspect; use the manual method below.
Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.
4. Try a first task
Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:
Read .skill-downloads/social-media-investigation-mrzxupza/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.
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