Open source alternatives to agentic-eval
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-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
Launchopensource-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
Launchandrej-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
Launchmarkitdown-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
Launchod-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
Launchgithub-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
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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
About agentic-eval
agentic-eval
Iterative evaluation and refinement patterns
agentic-eval is an agent skill from the github/awesome-copilot collection that teaches iterative evaluation and refinement, so an agent can assess and improve its own output instead of accepting the first draft. The loop runs generate, evaluate, critique, refine and output, and it repeats until the result meets the criteria. The skill describes three core patterns. Basic reflection is a self-critique loop in which the agent reviews its own work. The evaluator-optimizer pattern separates generation from evaluation, so one step produces the output and another judges it, which tends to catch errors that the author misses. Code-specific test-driven refinement uses tests as the evaluator, so changes are kept only when they pass. The skill says when the approach pays off: quality-critical generation such as code, reports and analysis that must be accurate, tasks with clear evaluation criteria where success can be defined, and content that must meet a style guide, compliance rules or formatting requirements. It is less useful when there is no way to judge the output, because a loop with no criteria just rewrites text. The patterns cost extra model calls, so the number of rounds should be bounded. The skill is installed with the skills CLI from the github/awesome-copilot repository. Its skills.sh page showed about 10.2K installs and passing results from three security audits at the time of the scan.
- Price
- Free
- Made by
- github
- Category
- AI Skills
- Website
- github.com/github/awesome-copilot/agentic-eval