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/device/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/device)<a href="https://agentmods.dev/skills/scstelz/security-investigator/device"><img src="https://agentmods.dev/badge/skills/scstelz/security-investigator/device/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/device"><img src="https://agentmods.dev/badge/skills/scstelz/security-investigator/device.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
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 →
- high YARA Match · line 560 YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
- medium Excessive Agency · line 112 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 964 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 | $0.00148 | $0.13354 |
| Opus 5 | $0.00074 | $0.06677 |
| Sonnet 5 | $0.00030 | $0.02671 |
| Haiku 4.5 | $0.00015 | $0.01335 |
Grade A, and why
scope-drift-detection-device scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Notable command-line patterns (Query 20):** Search for reconnaissance commands (`whoami`, `net user`, `ipconfig`, `nltest`, `systeminfo`), lateral movement (`psexec`, `wmic`), persistence mechanisms (`schtasks`, `reg How it starts
The opening of the file, as written. The whole thing — 970 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Device Scope Drift Detection — Instructions
Purpose
This skill detects scope drift — the gradual, often imperceptible expansion of process execution behavior beyond an established baseline — in endpoints and devices. Unlike sudden compromise (which triggers alerts), scope drift is a slow-burn pattern that evades threshold-based detections.
Entity Type: Device
| Identifier | Primary Table(s) | Use Case |
|---|---|---|
| DeviceName (hostname) | DeviceProcessEvents |
Endpoints, servers, workstations — fleet-wide or single-device process baseline analysis |
What this skill detects:
- Volume spikes in process execution relative to historical baseline
- New processes or process chains not seen in the baseline period
- New service accounts or user contexts executing processes
- Unsigned or unusually-signed binaries executing on endpoints
- Reconnaissance, lateral movement, persistence, and exfiltration command patterns
- Security alerts involving the drifting devices
Two operating modes:
| Mode | When to Use | Scope |
|---|---|---|
| Fleet-wide | "Check all devices for process drift", "device drift across the fleet" | Computes per-device drift scores, ranks all devices, flags those > 150% |
| Single-device | "Investigate process drift on DEVICE-01", specific hostname provided | Deep dive on one device with full process inventory and command-line analysis |
Related skills:
- SPN Scope Drift — for service principals
- User Scope Drift — for user accounts (UPNs)
📑 TABLE OF CONTENTS
- Critical Workflow Rules - Start here!
- Output Modes - Inline chat vs. Markdown file
- Quick Start - 10-step investigation pattern
- Drift Score Formula - Weighted composite scoring (5 dimensions)
- Execution Workflow - Complete 4-phase process
- Sample KQL Queries - Validated query patterns (Queries 14-22)
- 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 · 970 lines · 148 tokens per session scan A 4d9a5e95d24f
scope-drift-detection-device is a skill published in the GitHub repository SCStelz/security-investigator (244 stars, last pushed yesterday), licensed MIT. It adds 148 tokens to every session and 13,354 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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