pydantic-ai-todo: Task Planning and Tracking toolset for Pydantic AI agents, enabling hierarchical task management with subtasks

by vstorm-co · Agent Tool · ★ 76

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install pydantic-ai-todo

pip install pydantic-ai-todo
uv add pydantic-ai-todo

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 74/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aiai-agent-frameworkai-agentsanthropicautonomous-agentschatgptdeepagentsgeminillmllm-reasoning

Quick Facts

Stars76
Forks18
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score74/100
Open Issues2
Last Updated2026-10-05
Created2025-12-23
Platformsbrowser, gemini, python
Est. Tokens~15k

About pydantic-ai-todo

Todo Toolset for Pydantic AI Task Planning and Tracking for AI Agents Capabilities API — plug-and-play with one line  •  Subtasks & Dependencies — hierarchical task management  •  PostgreSQL Storage — persistent multi-tenant tasks  •  Event System — webhooks and callbacks Todo Toolset for Pydantic AI adds task planning capabilities to any Pydantic AI...

Compatible Skills

These tools work well together with pydantic-ai-todo for enhanced workflows:

  • agentpool — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • airbyte-agent-connectors — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • mcpadapt — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • magg — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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