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/azure-samples/eshoplite/aspire-session-packagingnpx skills add Azure-Samples/eShopLite --skill aspire-session-packaginggit clone --depth 1 https://github.com/Azure-Samples/eShopLiteWrote 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/azure-samples/eshoplite/aspire-session-packaging)<a href="https://agentmods.dev/skills/azure-samples/eshoplite/aspire-session-packaging"><img src="https://agentmods.dev/badge/skills/azure-samples/eshoplite/aspire-session-packaging.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 | $0.00020 | $0.00315 |
| Opus 5 | $0.00010 | $0.00158 |
| Sonnet 5 | $0.00004 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
aspire-session-packaging 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 6d 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
Context
Use this skill when turning an Aspire modernization plan into a session package. The goal is to keep the story documentation-first, grounded in the AppHost model, and easy to demo.
Patterns
1. Build the session bundle
Create a folder that includes:
- README
- session abstract
- flow/timing
- speaker script
- demo runbook
- demo prompts
- slide outline
- top pain points
- scenario map
- hosted-agent evaluation
- agent-framework positioning
- DevUI notes
- deployment notes
- references
2. Anchor to real AppHost baselines
Point the session at concrete AppHost examples in the repo. Reuse existing scenario code when the planned scenario scaffolds do not exist yet.
3. Keep deployment story separate
Use a slide-based closing for deployment. Do not let deployment mechanics take over the live demo.
4. Keep agent stories focused
Document what each agent does, what it returns, and how it stays grounded in app data. Avoid generic chatbot framing.
Anti-patterns
- Treating the session as a single monolithic demo
- Mixing hosted-agent evaluation into the live pitch
- Inventing new app behavior without a repo baseline
- Rewriting the story around framework features instead of app value
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.
- 6d ago First seen · 46 lines · 20 tokens per session scan A 6ccfc7e12844
aspire-session-packaging is a skill published in the GitHub repository Azure-Samples/eShopLite (168 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 315 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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