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/scope-drift-detection/user/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/user)<a href="https://agentmods.dev/skills/scstelz/security-investigator/user"><img src="https://agentmods.dev/badge/skills/scstelz/security-investigator/user/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/user"><img src="https://agentmods.dev/badge/skills/scstelz/security-investigator/user.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 114 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Agent Snooping · line 974 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00152 | $0.13183 |
| Opus 5 | $0.00076 | $0.06592 |
| Sonnet 5 | $0.00030 | $0.02637 |
| Haiku 4.5 | $0.00015 | $0.01318 |
Grade A, and why
scope-drift-detection-user 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 9d 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 — 980 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Account Scope Drift Detection — Instructions
Purpose
This skill detects scope drift — the gradual, often imperceptible expansion of access or behavior beyond an established baseline — in Entra ID user accounts. Unlike sudden compromise (which triggers alerts), scope drift is a slow-burn pattern that evades threshold-based detections.
Entity Type: User Account
| Identifier | Primary Table(s) | Use Case |
|---|---|---|
| UserPrincipalName (UPN) | SigninLogs + AADNonInteractiveUserSignInLogs |
Human users, admin accounts, shared mailboxes |
What this skill detects:
- Volume spikes in sign-in activity relative to historical baseline
- New applications accessed (potential unauthorized access or shadow IT)
- New target resources (APIs, services) not previously accessed
- New device/OS/browser combinations
- New source IP addresses or geographic locations
- Increased failure rates indicating probing or misconfiguration
- Account configuration changes correlated with behavioral shifts
- Security alerts involving the user
- Identity Protection risk events
- Pre-computed sign-in anomalies (custom table)
- Cloud app activity drift — new action types, admin operations, impersonation, external user activity (CloudAppEvents)
- Email pattern drift — volume/direction changes, new sender domains, threat email trends (EmailEvents)
Related skills:
- SPN Scope Drift — for service principals
- Device Scope Drift — for endpoints/devices
📑 TABLE OF CONTENTS
- Critical Workflow Rules - Start here!
- Output Modes - Inline chat vs. Markdown file
- Quick Start - 7-step investigation pattern
- Drift Score Formula - Weighted composite scoring (Interactive: 7 dimensions, Non-Interactive: 6 dimensions)
- Execution Workflow - Complete 4-phase process
- Sample KQL Queries - Validated query patterns (Queries 6-13)
- Report Template - Output format specification
- Known Pitfalls - Edge cases and false positives
- Error Handling - Troubleshooting guide
- SVG Dashboard Generation - Visual dashboard from report
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 980 lines · 152 tokens per session scan A d09bab33ba7c
scope-drift-detection-user is a skill published in the GitHub repository SCStelz/security-investigator (244 stars, last pushed yesterday), licensed MIT. It adds 152 tokens to every session and 13,183 once invoked, about $0.0008 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…