Comparison
lm-evaluation-harness vs Anthropic-Cybersecurity-Skills
Verdict
Pick lm-evaluation-harness if lm-evaluation-harness is a Python framework for evaluating language models in various parallelism modes using different checkpoint formats, compatible with the Megatron-LM backend; pick Anthropic-Cybersecurity-Skills if anthropic-Cybersecurity-Skills is a comprehensive repository of 817 structured cybersecurity skills mapped across six industry frameworks, making it highly versatile for various AI platforms and security needs.
Markdown twin · lm-evaluation-harness alternatives · Anthropic-Cybersecurity-Skills alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | lm-evaluation-harness | Anthropic-Cybersecurity-Skills |
|---|---|---|
| Maintenance | Active (16d since push) As of 1d · github_public_v1 | Active (14d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No MCP manifest As of 1d · mcp_manifest |
Tagline
- lm-evaluation-harness
- A framework for few-shot evaluation of language models.
- Anthropic-Cybersecurity-Skills
- 817 structured cybersecurity skills for AI agents
Stars
- lm-evaluation-harness
- 13k
- Anthropic-Cybersecurity-Skills
- 25k
Forks
- lm-evaluation-harness
- 3.4k
- Anthropic-Cybersecurity-Skills
- 3.1k
Open issues
- lm-evaluation-harness
- 907
- Anthropic-Cybersecurity-Skills
- 35
Language
- lm-evaluation-harness
- Python
- Anthropic-Cybersecurity-Skills
- Python
Adopt for
- lm-evaluation-harness
- lm-evaluation-harness is a Python framework for evaluating language models in various parallelism modes using different checkpoint formats, compatible with the Megatron-LM backend.
- Anthropic-Cybersecurity-Skills
- Anthropic-Cybersecurity-Skills is a comprehensive repository of 817 structured cybersecurity skills mapped across six industry frameworks, making it highly versatile for various AI platforms and security needs.
Persona
- lm-evaluation-harness
- -
- Anthropic-Cybersecurity-Skills
- -
Runtime
- lm-evaluation-harness
- -
- Anthropic-Cybersecurity-Skills
- -
License
- lm-evaluation-harness
- MIT
- Anthropic-Cybersecurity-Skills
- Apache-2.0
Last pushed
- lm-evaluation-harness
- Jun 24, 2026
- Anthropic-Cybersecurity-Skills
- Jun 26, 2026
Categories
- lm-evaluation-harness
- Evaluation & Observability
- Anthropic-Cybersecurity-Skills
- AI Agents, Evaluation & Observability
Trust and health
Days since push
- lm-evaluation-harness
- 16d
- Anthropic-Cybersecurity-Skills
- 14d
Open issues (now)
- lm-evaluation-harness
- 907
- Anthropic-Cybersecurity-Skills
- 35
Owner type
- lm-evaluation-harness
- Organization
- Anthropic-Cybersecurity-Skills
- User
Security scan
- lm-evaluation-harness
- No lockfile
- Anthropic-Cybersecurity-Skills
- No MCP manifest
Full report
- lm-evaluation-harness
- Trust report
- Anthropic-Cybersecurity-Skills
- Trust report
Choose lm-evaluation-harness if…
- License: lm-evaluation-harness is MIT, Anthropic-Cybersecurity-Skills is Apache-2.0.
- Tags unique to lm-evaluation-harness: data-parallelism, evaluation framework, expert-parallelism, language-model.
- - When you need to evaluate large language models across multiple GPUs in data or tensor parallel configurations.
When NOT to use lm-evaluation-harness
- - If your evaluation setup requires pipeline parallelism not currently supported by this framework.
Choose Anthropic-Cybersecurity-Skills if…
- License: Anthropic-Cybersecurity-Skills is Apache-2.0, lm-evaluation-harness is MIT.
- Pricing: Available under the Apache 2.0 license, ensuring free access and modification but without guaranteeing commercial support..
- Requirements: Min 4 GB RAM; Supports integration with over 20 platforms including Claude Code and GitHub Copilot; Requires basic understanding of cybersecurity frameworks for optimal use.
- Tags unique to Anthropic-Cybersecurity-Skills: ai-agents, cybersecurity, mitre-attack, nist-csf.
- Also covers AI Agents.
- - Use when you require integration with multiple cybersecurity frameworks like MITRE ATT&CK, NIST CSF 2.0, and others, providing a robust foundation for skill-based operations.
When NOT to use Anthropic-Cybersecurity-Skills
- - Avoid if your project specifically requires skills mapped exclusively to a single framework not among the six supported by Anthropic-Cybersecurity-Skills.
- - Not suitable for projects that do not align with or benefit from the agentskills.io standard implementation, as it might limit customization options.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (EleutherAI/lm-evaluation-harness) · observed Jul 11, 2026
- GitHub forks (EleutherAI/lm-evaluation-harness) · observed Jul 11, 2026
- Last push (EleutherAI/lm-evaluation-harness) · observed Jun 24, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (mukul975/Anthropic-Cybersecurity-Skills) · observed Jul 11, 2026
- GitHub forks (mukul975/Anthropic-Cybersecurity-Skills) · observed Jul 11, 2026
- Last push (mukul975/Anthropic-Cybersecurity-Skills) · observed Jun 26, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: lm-evaluation-harness 13k · Anthropic-Cybersecurity-Skills 25k (synced Jul 11, 2026).
Common questions
- What is the difference between lm-evaluation-harness and Anthropic-Cybersecurity-Skills?
- lm-evaluation-harness: A framework for few-shot evaluation of language models.. Anthropic-Cybersecurity-Skills: 817 structured cybersecurity skills for AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose lm-evaluation-harness over Anthropic-Cybersecurity-Skills?
- Choose lm-evaluation-harness over Anthropic-Cybersecurity-Skills when License: lm-evaluation-harness is MIT, Anthropic-Cybersecurity-Skills is Apache-2.0; Tags unique to lm-evaluation-harness: data-parallelism, evaluation framework, expert-parallelism, language-model; - When you need to evaluate large language models across multiple GPUs in data or tensor parallel configurations.
- When should I choose Anthropic-Cybersecurity-Skills over lm-evaluation-harness?
- Choose Anthropic-Cybersecurity-Skills over lm-evaluation-harness when License: Anthropic-Cybersecurity-Skills is Apache-2.0, lm-evaluation-harness is MIT; Pricing: Available under the Apache 2.0 license, ensuring free access and modification but without guaranteeing commercial support.; Requirements: Min 4 GB RAM; Supports integration with over 20 platforms including Claude Code and GitHub Copilot; Requires basic understanding of cybersecurity frameworks for optimal use; Tags unique to Anthropic-Cybersecurity-Skills: ai-agents, cybersecurity, mitre-attack, nist-csf; Also covers AI Agents; - Use when you require integration with multiple cybersecurity frameworks like MITRE ATT&CK, NIST CSF 2.0, and others, providing a robust foundation for skill-based operations.
- When should I avoid lm-evaluation-harness?
- - If your evaluation setup requires pipeline parallelism not currently supported by this framework.
- When should I avoid Anthropic-Cybersecurity-Skills?
- - Avoid if your project specifically requires skills mapped exclusively to a single framework not among the six supported by Anthropic-Cybersecurity-Skills. - Not suitable for projects that do not align with or benefit from the agentskills.io standard implementation, as it might limit customization options.
- Is lm-evaluation-harness or Anthropic-Cybersecurity-Skills more popular on GitHub?
- Anthropic-Cybersecurity-Skills has more GitHub stars (25,282 vs 13,253). Stars measure visibility, not whether either tool fits your constraints.
- Are lm-evaluation-harness and Anthropic-Cybersecurity-Skills open source?
- Yes - both are open-source projects on GitHub (lm-evaluation-harness: MIT, Anthropic-Cybersecurity-Skills: Apache-2.0).
- Where can I find alternatives to lm-evaluation-harness or Anthropic-Cybersecurity-Skills?
- GraphCanon lists graph-backed alternatives at lm-evaluation-harness alternatives and Anthropic-Cybersecurity-Skills alternatives (lm-evaluation-harness markdown twin, Anthropic-Cybersecurity-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, lm-evaluation-harness or Anthropic-Cybersecurity-Skills?
- lm-evaluation-harness: Active. Anthropic-Cybersecurity-Skills: 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 lm-evaluation-harness and Anthropic-Cybersecurity-Skills?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lm-evaluation-harness trust report; Anthropic-Cybersecurity-Skills trust report.