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 zmustafa/AzureSupportAgent --skill entra-user-investigationgit clone --depth 1 https://github.com/zmustafa/AzureSupportAgentWrote 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/zmustafa/azuresupportagent/entra-user-investigation)<a href="https://agentmods.dev/skills/zmustafa/azuresupportagent/entra-user-investigation"><img src="https://agentmods.dev/badge/skills/zmustafa/azuresupportagent/entra-user-investigation/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/zmustafa/azuresupportagent/entra-user-investigation"><img src="https://agentmods.dev/badge/skills/zmustafa/azuresupportagent/entra-user-investigation.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 | $0.00026 | $0.00222 |
| Opus 5 | $0.00013 | $0.00111 |
| Sonnet 5 | $0.00005 | $0.00044 |
| Haiku 4.5 | $0.00003 | $0.00022 |
Grade A, and why
Entra user investigation 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 12d 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.
What it actually says
Entra user investigation
- Resolve the person unambiguously by UPN or object id; never infer identity from a display-name collision.
- Prefer
identity_investigatefor the cached, audited dossier before issuing low-level Graph calls. - Separate active role assignments, PIM eligibility, and live activations. Eligibility is not standing access.
- Report MFA registration coverage separately from a confirmed absence of methods.
- Evaluate applicable Conditional Access policy state, exclusions, and grant/session controls.
- Read behavioral history only when the caller is authorized for
investigate.activity. - State collection freshness, missing permissions, licensing gaps, and sampling/caps.
- End with evidence, risk, and proportionate next actions; do not make identity changes unless explicitly requested and approved.
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.
- 12d ago First seen · 17 lines · 26 tokens per session scan A be10c26e42ca
Entra user investigation is a skill published in the GitHub repository zmustafa/AzureSupportAgent (45 stars, last pushed 3d ago), licensed MIT. It adds 26 tokens to every session and 222 once invoked, about $0.0001 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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