Comparison
instruct-eval vs Anthropic-Cybersecurity-Skills
Verdict
Pick instruct-eval when tags unique to instruct-eval: benchmarking, evaluation, instruct-tuning, instruction-following; pick Anthropic-Cybersecurity-Skills when pricing: Available under the Apache 2.0 license, ensuring free access and modification but without guaranteeing commercial support..
Markdown twin · instruct-eval alternatives · Anthropic-Cybersecurity-Skills alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | instruct-eval | Anthropic-Cybersecurity-Skills |
|---|---|---|
| Maintenance | Dormant (853d since push) As of today · github_public_v1 | Active (14d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | 83 low (83 low) As of today · osv@v1 | No MCP manifest As of today · mcp_manifest |
Tagline
- instruct-eval
- Code for evaluating instruction-tuned language models like Alpaca and Flan-T5
- Anthropic-Cybersecurity-Skills
- 817 structured cybersecurity skills for AI agents
Stars
- instruct-eval
- 552
- Anthropic-Cybersecurity-Skills
- 25k
Forks
- instruct-eval
- 45
- Anthropic-Cybersecurity-Skills
- 3.1k
Open issues
- instruct-eval
- 24
- Anthropic-Cybersecurity-Skills
- 35
Language
- instruct-eval
- Python
- Anthropic-Cybersecurity-Skills
- Python
Adopt for
- instruct-eval
- -
- 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
- instruct-eval
- -
- Anthropic-Cybersecurity-Skills
- -
Runtime
- instruct-eval
- -
- Anthropic-Cybersecurity-Skills
- -
License
- instruct-eval
- Apache-2.0
- Anthropic-Cybersecurity-Skills
- Apache-2.0
Last pushed
- instruct-eval
- Mar 10, 2024
- Anthropic-Cybersecurity-Skills
- Jun 26, 2026
Categories
- instruct-eval
- Evaluation & Observability
- Anthropic-Cybersecurity-Skills
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- instruct-eval
- Dormant (18%)
- Anthropic-Cybersecurity-Skills
- Active (82%)
Days since push
- instruct-eval
- 853d
- Anthropic-Cybersecurity-Skills
- 14d
Open issues (now)
- instruct-eval
- 24
- Anthropic-Cybersecurity-Skills
- 35
Owner type
- instruct-eval
- Organization
- Anthropic-Cybersecurity-Skills
- User
Security scan
- instruct-eval
- 83 low (83 low)
- Anthropic-Cybersecurity-Skills
- No MCP manifest
Full report
- instruct-eval
- Trust report
- Anthropic-Cybersecurity-Skills
- Trust report
Choose instruct-eval if…
- Tags unique to instruct-eval: benchmarking, evaluation, instruct-tuning, instruction-following.
- Leaner open-issue backlog (24).
When NOT to use instruct-eval
- Last GitHub push was 854 days ago (dormant maintenance, Mar 10, 2024). Validate activity before betting a new project on instruct-eval.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Choose Anthropic-Cybersecurity-Skills if…
- 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 (declare-lab/instruct-eval) · observed Jul 11, 2026
- GitHub forks (declare-lab/instruct-eval) · observed Jul 11, 2026
- Last push (declare-lab/instruct-eval) · observed Mar 10, 2024
- License file (Apache-2.0) · 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: instruct-eval 552 · Anthropic-Cybersecurity-Skills 25k (synced Jul 11, 2026).
Common questions
- What is the difference between instruct-eval and Anthropic-Cybersecurity-Skills?
- instruct-eval: Code for evaluating instruction-tuned language models like Alpaca and Flan-T5. 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 instruct-eval over Anthropic-Cybersecurity-Skills?
- Choose instruct-eval over Anthropic-Cybersecurity-Skills when Tags unique to instruct-eval: benchmarking, evaluation, instruct-tuning, instruction-following; Leaner open-issue backlog (24).
- When should I choose Anthropic-Cybersecurity-Skills over instruct-eval?
- Choose Anthropic-Cybersecurity-Skills over instruct-eval when 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 instruct-eval?
- Last GitHub push was 854 days ago (dormant maintenance, Mar 10, 2024). Validate activity before betting a new project on instruct-eval. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- 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 instruct-eval or Anthropic-Cybersecurity-Skills more popular on GitHub?
- Anthropic-Cybersecurity-Skills has more GitHub stars (25,282 vs 552). Stars measure visibility, not whether either tool fits your constraints.
- Are instruct-eval and Anthropic-Cybersecurity-Skills open source?
- Yes - both are open-source projects on GitHub (instruct-eval: Apache-2.0, Anthropic-Cybersecurity-Skills: Apache-2.0).
- Where can I find alternatives to instruct-eval or Anthropic-Cybersecurity-Skills?
- GraphCanon lists graph-backed alternatives at instruct-eval alternatives and Anthropic-Cybersecurity-Skills alternatives (instruct-eval 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, instruct-eval or Anthropic-Cybersecurity-Skills?
- instruct-eval: Dormant. 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 instruct-eval and Anthropic-Cybersecurity-Skills?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: instruct-eval trust report; Anthropic-Cybersecurity-Skills trust report.