SKILLEMALL.ai

BD local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the privacy/cost/offline trade-offs. Based on Lesson 17 of AI Agents for Beginners. USE FOR: run an agent locally, offline agent, on-device agent, Foundry Local, Qwen function calling, local tool calling, local RAG, Chroma vector database, local MCP server, privacy-preserving agent, hybrid local and cloud agent, small language model agent, engineering assistant on my machine. DO NOT USE FOR: deploying agents to the cloud at scale (use deploying-scalable-agents / Lesson 16), building your first agent concept (Lesson 01), Foundry (cloud) hosted agents, GPU cluster / server-side inference provisioning.

microsoft/ai-agents-for-beginners Agent Skills author: microsoft MIT 1 file body ≈ 1 154 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models.

As a process D 44/100 · Unfinished process — References files that are not bundled: ../../../17-creating-local-ai-agents/README.md, ../../../17-creating-local-ai-agents/code_samples/17-local-agent-foundry-local.ipynb

GeneratorAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
D
44/100
Unfinished process
References files that are not bundled: ../../../17-creating-local-ai-agents/README.md, ../../../17-creating-local-ai-agents/code_samples/17-local-agent-foundry-local.ipynb
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ai-agents-for-beginners

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../../../17-creating-local-ai-agents/README.md
  • warning missing-ref reference to a missing file: ../../../17-creating-local-ai-agents/code_samples/17-local-agent-foundry-local.ipynb

Process rating: all ten parameters 44/100

Will not run. References files that are not bundled: ../../../17-creating-local-ai-agents/README.md, ../../../17-creating-local-ai-agents/code_samples/17-local-agent-foundry-local.ipynb
  • 0Tools and files. 2 referenced file(s) missing: ../../../17-creating-local-ai-agents/README.md, ../../../17-creating-local-ai-agents/code_samples/17-local-agent-foundry-local.ipynb
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 17 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1154 tokens
  • 100Running it twice. No mutating operations
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +3Description length 914: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (2 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.