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 diagrid-labs/dapr-skills --skill check-prereq-agent-pythongit clone --depth 1 https://github.com/diagrid-labs/dapr-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/diagrid-labs/dapr-skills/check-prereq-agent-python)<a href="https://agentmods.dev/skills/diagrid-labs/dapr-skills/check-prereq-agent-python"><img src="https://agentmods.dev/badge/skills/diagrid-labs/dapr-skills/check-prereq-agent-python.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 | $0.00059 | $0.01012 |
| Opus 5 | $0.00030 | $0.00506 |
| Sonnet 5 | $0.00012 | $0.00202 |
| Haiku 4.5 | $0.00006 | $0.00101 |
Grade A, and why
check-prereq-agent-python scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Bash(curl:*) How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Check Prerequisites for Python Agents
Overview
This skill checks whether all prerequisites are installed for building durable AI agents in Python — either with the native dapr-agents SDK (the Dapr Agents framework, which is Python-only) or with a diagrid framework wrapper. Run this skill before using the create-agent-python skill.
Prerequisites
The following must be installed:
- Python
>=3.11,<3.14— the bound bothdapr-agentsanddiagriddeclare - uv (Astral)
- Docker or Podman
- Dapr CLI (version 1.18+)
- dapr-agents
>=1.0reachable from the package index (native path only — adiagrid[<extra>]project gets it transitively) - At least one LLM provider available:
OPENAI_API_KEY,ANTHROPIC_API_KEY,GOOGLE_API_KEY, or a local Ollama instance onhttp://localhost:11434
Prerequisite Checks
Run ALL of these checks. Check steps 2–8 in parallel. Track which checks pass and which fail.
Step 1: Detect Operating System
Read the file at ../shared/prereq-detect-os.md and follow those instructions.
Step 2: Check the Python LSP plugin
Read the file at ../shared/prereq-check-python-lsp.md and follow those instructions.
Step 3: Check uv
Read the file at ../shared/prereq-check-uv.md and follow those instructions.
Step 4: Check Python SDK version
Read the file at ../shared/prereq-check-python-sdk.md and follow those instructions, with this override: the shared check rejects anything below Python 3.12 because it targets workflow skills. Agent skills accept 3.11 up to but excluding 3.14. Treat 3.11.x as passing. Fail 3.10.x and below, and also fail 3.14 and above — neither dapr-agents nor diagrid resolves there, both declaring >=3.11,<3.14.
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.
- 8d ago First seen · 77 lines · 59 tokens per session scan A 66a73dd4b966
check-prereq-agent-python is a skill published in the GitHub repository diagrid-labs/dapr-skills (12 stars, last pushed 15d ago), licensed MIT. It adds 59 tokens to every session and 1,012 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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