Comparison
open-code-review vs agentic-awesome-skills
Verdict
Pick open-code-review if open-code-review is a hybrid architecture code review tool using deterministic pipelines and an LLM Agent to provide detailed feedback, including specific security rule checks; pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains.
Markdown twin · open-code-review alternatives · agentic-awesome-skills alternatives
GraphCanon updated Sep 20, 2026
5views this month
vs
Trust & integrity
| Signal | open-code-review | agentic-awesome-skills |
|---|---|---|
| Maintenance | Very active (0d since push) As of Aug 19, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 19, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · osv@v1 | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- open-code-review
- Hybrid architecture code review tool with LLM Agent for precise line-level comments and built-in security rule checks.
- agentic-awesome-skills
- Library of agentic skills for various AI agents
Stars
- open-code-review
- 21k
- agentic-awesome-skills
- 47k
Forks
- open-code-review
- 1.5k
- agentic-awesome-skills
- 6.8k
Open issues
- open-code-review
- 126
- agentic-awesome-skills
- 1
Language
- open-code-review
- Go
- agentic-awesome-skills
- Python
Adopt for
- open-code-review
- open-code-review is a hybrid architecture code review tool using deterministic pipelines and an LLM Agent to provide detailed feedback, including specific security rule checks.
- agentic-awesome-skills
- Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains.
Persona
- open-code-review
- -
- agentic-awesome-skills
- -
Runtime
- open-code-review
- -
- agentic-awesome-skills
- -
License
- open-code-review
- Apache-2.0 license, providing a balance between permissive usage and explicit patent grants.
- agentic-awesome-skills
- MIT
Last pushed
- open-code-review
- Aug 19, 2026
- agentic-awesome-skills
- Sep 19, 2026
Categories
- open-code-review
- Developer Tools, LLM Frameworks
- agentic-awesome-skills
- AI Agents, Developer Tools
Trust and health
Open issues (now)
- open-code-review
- 126
- agentic-awesome-skills
- 1
Stars delta
- open-code-review
- +10k (30d)
- agentic-awesome-skills
- +1.5k (30d)
Open issues delta
- open-code-review
- +89 (30d)
- agentic-awesome-skills
- -11 (30d)
Owner type
- open-code-review
- Organization
- agentic-awesome-skills
- User
Full report
- open-code-review
- Trust report
- agentic-awesome-skills
- Trust report
Typed relationship
open-code-review integrates agentic-awesome-skillsOpenCodeReview can likely leverage the installable GitHub library of agentic skills for extending its functionality.
Choose open-code-review if…
- open-code-review is primarily Go; agentic-awesome-skills is Python.
- License: open-code-review is Apache-2.0, agentic-awesome-skills is MIT.
- Pricing: The tool is open-source and free..
- OpenCodeReview can likely leverage the installable GitHub library of agentic skills for extending its functionality.
- Tags unique to open-code-review: code-review-assistant, repository-level-context.
- Also covers LLM Frameworks.
- When leveraging the capabilities of a large language model (LLM) agent for precise line-level commenting and rule enforcement, especially if you are familiar with or prefer Go in your tech stack.
When NOT to use open-code-review
- For development teams looking for a tool that offers real-time suggestions beyond line-level comments since open-code-review focuses on deterministic pipeline assessments and LLM-generated feedback at
- sync events.
- When specific integration with frameworks or languages not supported by this tool is crucial, such as those needing more Python-centric integrations which might not align well with its Go-based core.
Choose agentic-awesome-skills if…
- agentic-awesome-skills is primarily Python; open-code-review is Go.
- License: agentic-awesome-skills is MIT, open-code-review is Apache-2.0.
- Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills..
- Requirements: Min 2 GB RAM.
- OpenCodeReview can likely leverage the installable GitHub library of agentic skills for extending its functionality.
- Tags unique to agentic-awesome-skills: ai-agents, developer-tools.
- Also covers AI Agents.
- - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks.
When NOT to use agentic-awesome-skills
- - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services.
- - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alibaba/open-code-review) · observed Sep 20, 2026
- GitHub forks (alibaba/open-code-review) · observed Sep 20, 2026
- Last push (alibaba/open-code-review) · observed Aug 19, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sickn33/agentic-awesome-skills) · observed Sep 20, 2026
- GitHub forks (sickn33/agentic-awesome-skills) · observed Sep 20, 2026
- Last push (sickn33/agentic-awesome-skills) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: open-code-review 21k · agentic-awesome-skills 47k (synced Sep 20, 2026).
Common questions
- What is the difference between open-code-review and agentic-awesome-skills?
- open-code-review: Hybrid architecture code review tool with LLM Agent for precise line-level comments and built-in security rule checks.. agentic-awesome-skills: Library of agentic skills for various AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose open-code-review over agentic-awesome-skills?
- Choose open-code-review over agentic-awesome-skills when open-code-review is primarily Go; agentic-awesome-skills is Python; License: open-code-review is Apache-2.0, agentic-awesome-skills is MIT; Pricing: The tool is open-source and free.; OpenCodeReview can likely leverage the installable GitHub library of agentic skills for extending its functionality; Tags unique to open-code-review: code-review-assistant, repository-level-context; Also covers LLM Frameworks; When leveraging the capabilities of a large language model (LLM) agent for precise line-level commenting and rule enforcement, especially if you are familiar with or prefer Go in your tech stack.
- When should I choose agentic-awesome-skills over open-code-review?
- Choose agentic-awesome-skills over open-code-review when agentic-awesome-skills is primarily Python; open-code-review is Go; License: agentic-awesome-skills is MIT, open-code-review is Apache-2.0; Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.; Requirements: Min 2 GB RAM; OpenCodeReview can likely leverage the installable GitHub library of agentic skills for extending its functionality; Tags unique to agentic-awesome-skills: ai-agents, developer-tools; Also covers AI Agents; - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks.
- When should I avoid open-code-review?
- For development teams looking for a tool that offers real-time suggestions beyond line-level comments since open-code-review focuses on deterministic pipeline assessments and LLM-generated feedback at sync events. When specific integration with frameworks or languages not supported by this tool is crucial, such as those needing more Python-centric integrations which might not align well with its Go-based core.
- When should I avoid agentic-awesome-skills?
- - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library.
- Is open-code-review or agentic-awesome-skills more popular on GitHub?
- agentic-awesome-skills has more GitHub stars (46,613 vs 20,812). Stars measure visibility, not whether either tool fits your constraints.
- Are open-code-review and agentic-awesome-skills open source?
- Yes - both are open-source projects on GitHub (open-code-review: Apache-2.0, agentic-awesome-skills: MIT).
- Where can I find alternatives to open-code-review or agentic-awesome-skills?
- GraphCanon lists graph-backed alternatives at open-code-review alternatives and agentic-awesome-skills alternatives (open-code-review markdown twin, agentic-awesome-skills markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, open-code-review or agentic-awesome-skills?
- open-code-review: Very active. agentic-awesome-skills: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for open-code-review and agentic-awesome-skills?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: open-code-review trust report; agentic-awesome-skills trust report.