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 conditional-access-reviewgit 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/conditional-access-review)<a href="https://agentmods.dev/skills/zmustafa/azuresupportagent/conditional-access-review"><img src="https://agentmods.dev/badge/skills/zmustafa/azuresupportagent/conditional-access-review/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/conditional-access-review"><img src="https://agentmods.dev/badge/skills/zmustafa/azuresupportagent/conditional-access-review.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 | $0.00028 | $0.00208 |
| Opus 5 | $0.00014 | $0.00104 |
| Sonnet 5 | $0.00006 | $0.00042 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
Conditional Access review 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.
What it actually says
Conditional Access review
- Resolve the user, application, device, location, client type, authentication flow, and risk assumptions.
- Prefer
ca_evaluatefor the product's enriched policy model and explicit verdict. - Include policy state: enabled, report-only, or disabled. Never describe report-only as enforcement.
- Distinguish grant controls from session controls; session controls do not create a hard block.
- Account for include/exclude users, groups, roles, apps, platforms, locations, client apps, and authentication flows.
- Name coverage gaps instead of converting unreadable conditions into an allow verdict.
- Present applicable policies and decisive conditions as evidence, then suggest a safe simulator change before any write.
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 · 16 lines · 28 tokens per session scan A 749f3838e3bf
Conditional Access review is a skill published in the GitHub repository zmustafa/AzureSupportAgent (45 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 208 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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