Borrowing it
Nothing to install: this file belongs to SCStelz/security-investigator. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SCStelz/security-investigator/main/.github/skills/authentication-tracing/SKILL.mdgit clone --depth 1 https://github.com/SCStelz/security-investigatorWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/scstelz/security-investigator/authentication-tracing)<a href="https://agentmods.dev/skills/scstelz/security-investigator/authentication-tracing"><img src="https://agentmods.dev/badge/skills/scstelz/security-investigator/authentication-tracing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/scstelz/security-investigator/authentication-tracing"><img src="https://agentmods.dev/badge/skills/scstelz/security-investigator/authentication-tracing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00097 | $0.07835 |
| Opus 5 | $0.00048 | $0.03918 |
| Sonnet 5 | $0.00019 | $0.01567 |
| Haiku 4.5 | $0.00010 | $0.00783 |
Grade A, and why
authentication-tracing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 640 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Authentication Tracing - Instructions
Purpose
This skill performs forensic analysis of Entra ID authentication flows to determine whether anomalous sign-ins represent:
- Legitimate activity (VPN usage, user travel, mobile carrier routing)
- Token theft/credential compromise (stolen refresh tokens, session hijacking)
The key distinction is whether the user actively performed MFA at a suspicious location or if the authentication used a refresh token from a prior session.
📑 TABLE OF CONTENTS
- Critical Workflow Rules - Start here!
- Key Forensic Indicators - Understanding authentication signals
- IP Enrichment Data - JSON structure reference
- 6-Step Forensic Workflow - SessionId-based investigation
- Real-World Example - Complete walkthrough
- Authentication Methods Reference - Method patterns
- Risk Escalation Criteria - High/Medium/Low classification
- Best Practices - Summary checklist
⚠️ CRITICAL WORKFLOW RULES - READ FIRST ⚠️
🚨 MANDATORY CHECKPOINT: Before providing ANY risk assessment for authentication anomalies:
- STOP - Do not improvise or use general security knowledge
- READ the complete risk assessment framework in this document
- QUOTE specific instruction sections in your analysis
- VERIFY your conclusions match documented guidance before responding to user
Before executing ANY authentication tracing queries, you MUST:
- Read the SessionId-based workflow (Steps 1-6 below) in full
- Search the investigation JSON for IP enrichment data (
ip_enrichmentarray) - PRIMARY DATA SOURCE - Follow the documented steps in order (SessionId → Authentication chain → Interactive MFA → Risk assessment)
- Use IP enrichment context in your final risk assessment (VPN status, abuse scores, threat intel, auth patterns)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 640 lines · 97 tokens per session scan A d2382735558b
authentication-tracing is a skill published in the GitHub repository SCStelz/security-investigator (245 stars, last pushed 2d ago), licensed MIT. It adds 97 tokens to every session and 7,835 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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