AI Agents
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Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
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View guide →Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents.
Product-Manager-Skills is an open-source ai agents project by deanpeters (deanpeters/Product-Manager-Skills on GitHub). It has 7,152 GitHub stars and 853 forks, is released under the Unknown license, and was last updated on GitHub on 1 September 2026.
Research, coding, browsing, or ops — agents work best with a clear goal.
From no-code builders to code-first SDKs, match complexity to the task.
Web search, code execution, and APIs are what make agents useful.
Watch the trace, approve consequential actions, iterate.
Benchmarks keep agent quality measurable.
Run agents on your infra with your keys.
Swap frontier models as better ones appear.
Traces show exactly what the agent did and why.
Approval gates for actions that matter.
Long-term memory across sessions, not goldfish chat.
Download the source and move into the project folder.
git clone https://github.com/deanpeters/Product-Manager-Skills.git
cd Product-Manager-SkillsEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at deanpeters/Product-Manager-Skills with 853 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Licensed under Unknown — check the repo for commercial-use terms.
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
Sandboxing, approval gates, and least-privilege credentials.
Builders exist, but code-first frameworks go further.
Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
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Free and open — grab the source, star the repo, and start creating.