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 agentmods add skills/agenticpawan/fullstack-pilot/azure-edge-wafnpx skills add AgenticPawan/FullStack-Pilot --skill azure-edge-wafgit clone --depth 1 https://github.com/AgenticPawan/FullStack-PilotWrote 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/agenticpawan/fullstack-pilot/azure-edge-waf)<a href="https://agentmods.dev/skills/agenticpawan/fullstack-pilot/azure-edge-waf"><img src="https://agentmods.dev/badge/skills/agenticpawan/fullstack-pilot/azure-edge-waf.svg" alt="Measured on agentmods" 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 | $0.00123 | $0.01517 |
| Opus 5 | $0.00062 | $0.00758 |
| Sonnet 5 | $0.00025 | $0.00303 |
| Haiku 4.5 | $0.00012 | $0.00152 |
Grade A, and why
azure-edge-waf 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 5d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Standard IDs
| ID | Severity | What it checks |
|---|---|---|
| AFW-001 | P1 | Public API/SPA served with no edge WAF (Front Door or App Gateway WAF policy) in front |
| AFW-002 | P1 | WAF policy left in Detection mode — never switched to Prevention, so nothing is blocked |
| AFW-003 | P2 | No managed OWASP / Microsoft default rule set attached to the WAF policy |
| AFW-004 | P2 | No per-client rate-limit rule at the edge — L7 flooding / scraping exposure |
| AFW-005 | P1 | Origin (ACA / App Service) reachable directly, bypassing the edge — the WAF is optional, not enforced |
| AFW-006 | P3 | TLS below 1.2 at the edge, or no HTTP→HTTPS redirect |
Name collision, read this: azure-waf-review is the Well-Architected Framework
(reliability/security/cost/ops/performance) review and emits WAF-* IDs. This skill is
the Web Application Firewall at the edge and emits AFW-* IDs. They are unrelated. Origin
lockdown (AFW-005) pairs with azure-container-apps ACA-001 ingress restriction; edge rate
limiting complements dotnet-rate-limiting at the app tier.
Check A — No edge WAF in front of a public app (AFW-001)
Detection
For a public-facing SPA/API, check that traffic enters through Azure Front Door or an
Application Gateway carrying an attached Microsoft.Network/FrontDoorWebApplicationFirewallPolicies
(or App Gateway firewallPolicy). A public origin with no WAF has no L7 filtering,
rate limiting, or managed rule coverage at all.
BAD — App Service published straight to the internet, no WAF
// The Angular SPA + API are reachable directly on *.azurewebsites.net.
// No Front Door, no Application Gateway, no WAF policy anywhere in the template.
GOOD — Front Door with an attached WAF policy fronting the origin
resource wafPolicy 'Microsoft.Network/FrontDoorWebApplicationFirewallPolicies@2024-02-01' = {
name: 'afd-waf-prod'
properties: {
policySettings: { enabledState: 'Enabled', mode: 'Prevention' }
managedRules: { managedRuleSets: [ { ruleSetType: 'Microsoft_DefaultRuleSet', ruleSetVersion: '2.1' } ] }
}
}
// Front Door security policy associates wafPolicy with the endpoint fronting the app.
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.
- 5d ago First seen · 154 lines · 123 tokens per session scan A 844a702b13b2
azure-edge-waf is a skill published in the GitHub repository AgenticPawan/FullStack-Pilot (2 stars, last pushed 1mo ago), licensed MIT. It adds 123 tokens to every session and 1,517 once invoked, about $0.0006 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 2026-08-31.
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