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 Azure-Samples/eShopLite --skill scenario-baseline-cloninggit 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/scenario-baseline-cloning)<a href="https://agentmods.dev/skills/azure-samples/eshoplite/scenario-baseline-cloning"><img src="https://agentmods.dev/badge/skills/azure-samples/eshoplite/scenario-baseline-cloning/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/azure-samples/eshoplite/scenario-baseline-cloning"><img src="https://agentmods.dev/badge/skills/azure-samples/eshoplite/scenario-baseline-cloning.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00022 | $0.00145 |
| Opus 5 | $0.00011 | $0.00072 |
| Sonnet 5 | $0.00004 | $0.00029 |
| Haiku 4.5 | $0.00002 | $0.00015 |
Grade A, and why
scenario-baseline-cloning 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
Pattern
Start new modernization scenarios from the closest working baseline: 01 for most demos, 06 for MCP, and 10 for A2A.
When to use
Use this when a new scenario needs to stay runnable while the new docs, contracts, or UI are being added.
Guidance
- Keep the existing baseline projects intact until the new story is stable.
- Document any non-01 baseline choice in the scenario README.
- Preserve explicit Aspire parameter wiring and avoid hidden fallback behavior.
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 · 20 lines · 22 tokens per session scan A 5e222984106e
scenario-baseline-cloning is a skill published in the GitHub repository Azure-Samples/eShopLite (168 stars, last pushed 2mo ago), licensed MIT. It adds 22 tokens to every session and 145 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.
Other skills, from other repositories
mempalace
MemPalace — Local AI memory with 96.6% recall. Semantic search, temporal knowledge graph, palace architecture (wings/rooms/drawers). Free, no cloud, no API keys.
mempalace-task
Create, hand off, claim, execute, and close agent tasks through the MemPalace logstream. Use when the user wants to delegate work, prepare a ready-to-paste task for another agent, receive a MemPalace task id, or explicitly launch a supported headless agent in controlled mode.
mine
Mine a project or conversation into your MemPalace — extract and store memories for later retrieval.
mempalace-recall
Recall protocol for MemPalace — search the palace before answering about past work, people, projects, or prior decisions. Apply when the user asks what was decided, what happened before, who someone is, what was discussed last time, or anything that may already be filed in their memory palace; or when mempalace-recall…
speckit-clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
multi-repo-release
Prepares and validates GPT-RAG umbrella and multi-repository releases. Use whenever work involves release preparation, semantic versions, release branches, manifest or component pins, changelog release entries, tags, GitHub Release notes, or AI Landing Zone release alignment.