Open source alternatives to intended-vs-implemented
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G

github-ops
Getgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O

opensource-pipeline
Getopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A

andrej-karpathy-skills
Getandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M

microsoft/markitdown
Getmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O

od-contribute
Getod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G

github-deep-research
Getgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
More AI Skills apps

modelcontextprotocol/server-memory
Knowledge graph-based persistent memory for maintaining context

netdata/netdata#Netdata
Discovery, exploration, reporting and root cause analysis over Netdata metrics

Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude

MCP Toolbox for Databases
MCP Toolbox for Databases enables your agent to connect to your database
About intended-vs-implemented

intended-vs-implemented
The method for finding the gap between what a system is supposed to do
intended-vs-implemented is an agent skill that describes a method for finding the gap between what a system is supposed to do and what its code actually does. Its premise is that a linter checks code in isolation and can confirm that it is consistent, but it cannot tell whether the code does what was intended, because it has no model of intent. The bugs that matter most often sit in that gap: a permission that is documented but never enforced, an endpoint described as cron-only that anyone can call, or a field marked as public that leaks private data. The skill works by comparing written intent against the implementation, so it depends on the intent being written down first, which the shipping-artifacts skill covers. It is aimed at security reviewers and engineers doing correctness audits. The skill is part of the pm-skills collection by phuryn and is listed on skills.sh as free.
- Price
- Free
- Made by
- phuryn
- Category
- AI Skills
- Website
- github.com/phuryn/pm-skills/intended-vs-implemented










