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- Username OSINT Hunter Skil
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Username OSINT Hunter Skil
A structured OSINT workflow for Maigret to find, verify, and document username footprints across public services.
$6.99
Username OSINT Hunter Skil
Example session with this skill installed
I need to run a brand audit for the username 'cybersec_corp_dev' to see where our handle is registered. Give me a search plan and a report template.
- Read your context and instructions
- Compiled the username osint hunter
I have drafted a targeted search plan and the corresponding report structure for your brand audit. This approach focuses on high-confidence matches and respects service rate limits.
Username Audit Plan: cybersec_corp_dev
1. Objective and Scope
- Purpose: Brand handle availability and impersonation check.
- Subject: 'cybersec_corp_dev' (Corporate Brand).
- Exclusions: Private networks, internal-only portals.
2. Execution Command
# Recommended command for bounded search
maigret cybersec_corp_dev --timeout 20 --retries 2
3. Triage Ledger Template
| Service | Public Profile URL | Status | Evidence/Notes | Confidence |
|---|---|---|---|---|
| GitHub | https://github.com/cybersec_corp_dev | Likely Live | Matches official repo links | High |
| Twitter/X | https://x.com/cybersec_corp_dev | Likely Live | Verified brand bio | High |
| https://instagram.com/cybersec_corp_dev | Possible | No bio content; needs review | Medium | |
| PyPi | https://pypi.org/user/cybersec_corp_dev | False Positive | Generic placeholder page | Low |
4. Cross-Reference Observations
- Bio Alignment: Check if the profile description matches the official "Securing the future" tagline.
- Reciprocal Links: Look for links pointing back to the primary corporate domain.
- Visual Identity: Note if the official logo is used consistently across high-confidence hits.
Next steps
- Run the
maigretcommand in your local terminal. - Populate the Triage Ledger with the raw output.
- Review 'Possible' hits for any links to external sites.
Connects securely to your tools. The creator never sees your data.
About this skill
Finding where a username appears across the web often results in a mess of 404s, false positives, and unverified data. This skill provides a structured workflow for using Maigret to conduct responsible username OSINT, filtering out noise and documenting evidence with high confidence.
What it does
- Environment setup Provides safe installation steps for Maigret using isolated Python virtual environments.
- Search planning Defines bounded search parameters to avoid rate limits and respect service restrictions.
- Result triage Classifies output into likely live, possible, dead, or false positive categories.
- Evidence documentation Creates a ledger for each result including URLs, timestamps, and observed public signals.
- Confidence scoring Evaluates the likelihood of account connection based on cross-referenced public data.
- Reporting Generates a structured OSINT report including methodology, summary counts, and evidence tables.
How it works
- Define scope Record the authorized objective, target username, and excluded services to ensure compliance.
- Execute search Run narrow, bounded commands via Maigret to collect raw profile data.
- Analyze results Filter out 404s, generic pages, and ambiguous matches to find high-confidence profiles.
- Cross-reference Compare public profile descriptions and links to verify if accounts belong to the same entity.
Frameworks & tools
This skill is built for the Maigret OSINT tool and requires a Python environment. It assumes access to a CLI for execution.
Why this beats prompting it yourself
Standard prompts often fail to distinguish between a service timeout and a deleted account. This skill enforces a rigorous classification logic that prevents false positives from polluting your research. It moves beyond raw data collection by requiring multi-signal verification before asserting a match.
Use cases
- Digital footprint audit Discover where your personal handles are publicly visible.
- Brand protection Monitor for impersonation or squatting of corporate handles across new platforms.
- Handle availability Check name availability across hundreds of services for a new project launch.
- Authorized investigation Conduct public-interest research with a repeatable, evidence-based methodology.
Known limitations
Does not bypass CAPTCHAs, login walls, or privacy controls. It requires a local execution environment to run Maigret and does not perform real-time web scraping on its own.
Requires local Python environment and Maigret installation. Does not bypass login walls or CAPTCHAs. Results are leads, not proof of identity.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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- Software
Python