Comparison
skills vs Agent-Reach
Verdict
Pick skills when license: skills is Apache-2.0, Agent-Reach is MIT; pick Agent-Reach when license: Agent-Reach is MIT, skills is Apache-2.0.
Markdown twin · skills alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | skills | Agent-Reach |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Very active (0d 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) | No lockfile As of today · none | No MCP manifest As of today · mcp_manifest |
Tagline
- skills
- Agent Skills for Google products and technologies
- Agent-Reach
- Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Stars
- skills
- 15k
- Agent-Reach
- 55k
Forks
- skills
- 1.1k
- Agent-Reach
- 4.5k
Open issues
- skills
- 31
- Agent-Reach
- 144
Language
- skills
- Python
- Agent-Reach
- Python
Adopt for
- skills
- -
- Agent-Reach
- -
Persona
- skills
- -
- Agent-Reach
- -
Runtime
- skills
- -
- Agent-Reach
- -
License
- skills
- Apache-2.0
- Agent-Reach
- MIT
Last pushed
- skills
- Jul 10, 2026
- Agent-Reach
- Jul 10, 2026
Categories
- skills
- AI Agents
- Agent-Reach
- AI Agents, Developer Tools, LLM Frameworks
Trust and health
Days since push
- skills
- 1d
- Agent-Reach
- 0d
Open issues (now)
- skills
- 31
- Agent-Reach
- 144
Owner type
- skills
- Organization
- Agent-Reach
- User
Security scan
- skills
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- skills
- Trust report
- Agent-Reach
- Trust report
Choose skills if…
- License: skills is Apache-2.0, Agent-Reach is MIT.
- Tags unique to skills: google, googlecloud, python, skills.
- More recently updated (last pushed Jul 10, 2026).
When NOT to use skills
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
Choose Agent-Reach if…
- License: Agent-Reach is MIT, skills is Apache-2.0.
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers Developer Tools, LLM Frameworks.
When NOT to use Agent-Reach
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (google/skills) · observed Jul 11, 2026
- GitHub forks (google/skills) · observed Jul 11, 2026
- Last push (google/skills) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Panniantong/Agent-Reach) · observed Jul 11, 2026
- GitHub forks (Panniantong/Agent-Reach) · observed Jul 11, 2026
- Last push (Panniantong/Agent-Reach) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: skills 15k · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between skills and Agent-Reach?
- skills: Agent Skills for Google products and technologies. Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. See the comparison table for live GitHub stats and shared categories.
- When should I choose skills over Agent-Reach?
- Choose skills over Agent-Reach when License: skills is Apache-2.0, Agent-Reach is MIT; Tags unique to skills: google, googlecloud, python, skills; More recently updated (last pushed Jul 10, 2026).
- When should I choose Agent-Reach over skills?
- Choose Agent-Reach over skills when License: Agent-Reach is MIT, skills is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers Developer Tools, LLM Frameworks.
- When should I avoid skills?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- When should I avoid Agent-Reach?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is skills or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 14,521). Stars measure visibility, not whether either tool fits your constraints.
- Are skills and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (skills: Apache-2.0, Agent-Reach: MIT).
- Where can I find alternatives to skills or Agent-Reach?
- GraphCanon lists graph-backed alternatives at skills alternatives and Agent-Reach alternatives (skills markdown twin, Agent-Reach 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, skills or Agent-Reach?
- skills: Very active. Agent-Reach: 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 skills and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: skills trust report; Agent-Reach trust report.