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/richfrem/agent-plugins-skills/create-azure-agentnpx skills add richfrem/agent-plugins-skills --skill create-azure-agentgit clone --depth 1 https://github.com/richfrem/agent-plugins-skillsWrote 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/richfrem/agent-plugins-skills/create-azure-agent)<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/create-azure-agent"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/create-azure-agent.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 | $0.00048 | $0.00382 |
| Opus 5 | $0.00024 | $0.00191 |
| Sonnet 5 | $0.00010 | $0.00076 |
| Haiku 4.5 | $0.00005 | $0.00038 |
Grade A, and why
create-azure-agent 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 2d 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
Follow the create-azure-agent skill workflow to generate Azure AI Foundry deployment
wrappers for an existing agent skill.
Inputs
$ARGUMENTS— optional path to the skill directory to deploy. Omit to start with discovery.
Steps
- If
$ARGUMENTSprovides a skill directory, resolve and validate the path - Follow the create-azure-agent phased workflow: confirm the target skill, gather Azure
configuration (subscription, resource group, region, naming preferences), then run
scaffold_azure_agent.pyto generate Bicep templates and the Python Azure AI Projects SDK deployment wrapper - Summarize generated files in the skill's
azure_deployment/directory - Instruct on reviewing
.bicepparameters and runningaz deployment group create
Output
azure_deployment/azure_agent.py (Azure AI Projects SDK orchestration script) and
azure_deployment/main.bicep (Cosmos DB, AI Search, and Foundry Project infrastructure).
Edge Cases
- If
$ARGUMENTSis empty: ask for the target skill directory before proceeding - If Azure credentials are not configured: instruct user to run
az loginfirst - Azure AI Foundry enforces a 128-tool limit — scaffold generates a focused worker agent
- Offer to run
/agent-scaffolders:audit-pluginto validate the skill before deploying
What ships with it
60 files 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.
- acceptance-criteria.md 385 B
- evals/evals.json 883 B
- evals/results.tsv 417 B
- fallback-tree.md 1.4 KB
- references/acceptance-criteria.md 42 B
- references/fallback-tree.md 36 B
- references/hitl-interaction-design.md 46 B
- references/pattern-decision-matrix.md 46 B
- references/patterns/action-forcing-output-with-deadline-attribution.md 82 B
- references/patterns/adversarial-objectivity-constraint.md 69 B
- references/patterns/anti-pattern-vaccination.md 59 B
- references/patterns/anti-symptom-triage.md 54 B
- references/patterns/artifact-embedded-execution-audit-trail.md 74 B
- references/patterns/artifact-generation-xss-compliance-gate.md 74 B
- references/patterns/artifact-lifecycle.md 53 B
- references/patterns/artifact-state-interrogative-routing.md 71 B
- references/patterns/asynchronous-benchmark-metric-capture.md 72 B
- references/patterns/audience-segmented-information-filtering.md 75 B
- references/patterns/category-calibrated-benchmark-anchoring.md 74 B
- references/patterns/category-semantic-deferred-tool-binding.md 74 B
- references/patterns/chained-command-invocation.md 61 B
- references/patterns/chained-commands.md 51 B
- references/patterns/client-side-compute-sandbox-constraint.md 73 B
- references/patterns/complexity-tiered-output.md 59 B
- references/patterns/conditional-step-inclusion.md 61 B
- references/patterns/connector-placeholders.md 57 B
- references/patterns/cyclical-state-propagation-contract.md 70 B
- references/patterns/delegated-constraint-verification-loop.md 73 B
- references/patterns/dual-mode-degradation.md 56 B
- references/patterns/dual-mode-meta-skill.md 55 B
- references/patterns/dual-register-communication-enforcement.md 74 B
- references/patterns/dynamic-specification-fetching.md 65 B
- references/patterns/embedded-deterministic-scoring-formula.md 73 B
- references/patterns/escalation-taxonomy.md 54 B
- references/patterns/explicit-seed-anchored-determinism.md 69 B
- references/patterns/graduated-autonomy.md 53 B
- references/patterns/graduated-source-attributed-elicitation.md 74 B
- references/patterns/highly-procedural-fallback-trees.md 67 B
- references/patterns/iteration-directory-isolation.md 64 B
- references/patterns/lifecycle-aware-knowledge.md 60 B
- references/patterns/local-interactive-output-viewer-loop.md 71 B
- references/patterns/mandatory-counterfactual-scenario-templating.md 79 B
- references/patterns/mode-invariant-compliance-gate.md 65 B
- references/patterns/multi-actor-operational-coordination-manifest.md 80 B
- references/patterns/multi-dimensional-tone.md 57 B
- references/patterns/multi-modal-routing.md 54 B
- references/patterns/multi-source-synthesis.md 57 B
- references/patterns/multi-variant-trigger-optimizer.md 66 B
- references/patterns/negative-instruction-constraint.md 66 B
- references/patterns/output-classification.md 56 B
- references/patterns/passive-style-injection-payload.md 66 B
- references/patterns/persistent-plugin-configuration.md 66 B
- references/patterns/population-normative-distribution-constraint.md 79 B
- references/patterns/pre-committed-rollback-contract.md 66 B
- references/patterns/pre-execution-input-manifest.md 63 B
- references/patterns/pre-execution-workflow-commitment-diagram.md 76 B
- references/patterns/priority-ordered-scanning.md 60 B
- references/patterns/quantification-enforcement.md 61 B
- references/patterns/rigorous-benchmarking-loop.md 61 B
- references/patterns/severity-stratified-output.md 61 B
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.
- 2d ago First seen · 38 lines · 48 tokens per session scan A b0fe4af02637
create-azure-agent is a skill published in the GitHub repository richfrem/agent-plugins-skills (6 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 382 once invoked, about $0.0002 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 2026-09-03.
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