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-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-python)<a href="https://agentmods.dev/skills/diagrid-labs/dapr-skills/check-prereq-python"><img src="https://agentmods.dev/badge/skills/diagrid-labs/dapr-skills/check-prereq-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 | $0.00044 | $0.00605 |
| Opus 5 | $0.00022 | $0.00302 |
| Sonnet 5 | $0.00009 | $0.00121 |
| Haiku 4.5 | $0.00004 | $0.00060 |
Grade A, and why
check-prereq-python 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 7d 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
Check Prerequisites for Dapr Workflow Python
Overview
This skill checks whether all prerequisites are installed for building Dapr Workflow applications in Python. Run this skill before using the create-workflow-python skill.
Prerequisites
The following must be installed:
- Python 3.12+
- uv (Astral)
- Docker or Podman
- Dapr CLI
Prerequisite Checks
Run ALL of these checks. Check steps 2-6 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.
Step 5: Check Docker or Podman
Read the file at ../shared/prereq-check-docker-podman.md and follow those instructions.
Step 6: Check Dapr CLI
Read the file at ../shared/prereq-check-dapr-cli.md and follow those instructions.
Show final message
After all checks are complete, report the results:
- List each check and whether it passed or failed.
- For any failed checks, provide the relevant install link from the Prerequisites section.
- If all checks passed, inform the user they can proceed with the
create-workflow-pythonskill.
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.
- 7d ago First seen · 64 lines · 44 tokens per session scan A 193c9115d847
check-prereq-python is a skill published in the GitHub repository diagrid-labs/dapr-skills (12 stars, last pushed 14d ago), licensed MIT. It adds 44 tokens to every session and 605 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 2026-08-30.
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