xalgorix/xalgorix is a self-hosted AI penetration-testing tool in which an LLM agent performs reconnaissance, looks for vulnerabilities, and coordinates exploitation, while a separate verifier re-tests findings before reporting them. It is for security teams, ethical hackers, and bug bounty work using a private, bring-your-own-LLM setup. The catalogue skills extend the agent's pentesting workflow.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add xalgorix/xalgorix --skill implementing-endpoint-dlp-controlsgit clone --depth 1 https://github.com/xalgorix/xalgorixWrote 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/xalgorix/xalgorix/implementing-endpoint-dlp-controls)<a href="https://agentmods.dev/skills/xalgorix/xalgorix/implementing-endpoint-dlp-controls"><img src="https://agentmods.dev/badge/skills/xalgorix/xalgorix/implementing-endpoint-dlp-controls/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/xalgorix/xalgorix/implementing-endpoint-dlp-controls"><img src="https://agentmods.dev/badge/skills/xalgorix/xalgorix/implementing-endpoint-dlp-controls.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00083 | $0.01668 |
| Opus 5.5 | $0.00033 | $0.00667 |
| Sonnet 5.5 | $0.00017 | $0.00334 |
| Haiku 4.5 | $0.00008 | $0.00167 |
Grade A, and why
implementing-endpoint-dlp-controls 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 29d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementing Endpoint DLP Controls
When to Use
Use this skill when:
- Deploying endpoint DLP to prevent sensitive data (PII, PHI, PCI) from leaving the organization
- Configuring content inspection rules for email attachments, USB transfers, and cloud uploads
- Implementing Microsoft Purview DLP or Symantec DLP endpoint policies
- Meeting compliance requirements for data protection (GDPR, HIPAA, PCI DSS)
Do not use for network DLP (inline proxy-based) or cloud-only DLP (CASB).
Common Misconfigurations & Verification
- Egress channel gaps: a policy that blocks USB and email but ignores other exits leaks data anyway. Confirm every endpoint activity is in scope — cloud upload, removable media, network share copy, print, clipboard, screen capture, paste to unallowed browser/app, and Remote Desktop copy. Unmanaged browsers (anything not in the allowed-browser list) commonly bypass web upload inspection.
- Stuck in audit: "Test mode with notifications" never blocks. In Activity Explorer the action shows
Audit, notBlock/BlockWithOverride— verify the policy is actually turned on and enforced after tuning. - Encrypted/archive blind spots: content inspection can't read password-protected ZIPs, nested archives, or images without OCR. Define how those are handled (block-on-unscannable vs. allow) rather than letting them sail through.
- Over-broad overrides: if BlockWithOverride is on with no justification logging, users self-approve every block. Check the override rate in Activity Explorer.
- Verification: from a test endpoint, attempt each channel with a seeded file (e.g., a doc containing 5+ test credit-card numbers): copy to USB, upload to personal OneDrive/Dropbox, paste into webmail, and print. Each must produce a block/audit event in Activity Explorer with the matched SIT — silent success on any channel is a coverage gap.
Prerequisites
- Microsoft 365 E5 or standalone Microsoft Purview DLP license
- Microsoft Purview compliance portal access (compliance.microsoft.com)
- Sensitive Information Types (SITs) defined for organization data
- Endpoint onboarded to Microsoft Purview (via Intune or SCCM)
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.
- 29d ago First seen · 177 lines · 83 tokens per session scan A 8d4716986a2a
implementing-endpoint-dlp-controls is a skill published in the GitHub repository xalgorix/xalgorix (1,269 stars, last pushed today), licensed Apache-2.0. It adds 83 tokens to every session and 1,668 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-29.
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