Home/Compare/qiushi-skill vs agents

Comparison

qiushi-skill vs agents

Verdict

Pick qiushi-skill if qiushi-Skill methodologically equips AI agents with rigorous analytical tools derived from materialist dialectics and practical philosophy, enabling more thorough problem-solving processes; pick agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot.

Markdown twin · qiushi-skill alternatives · agents alternatives

GraphCanon updated Sep 20, 2026

7views this month

qiushi-skill logo

qiushi-skill

HughYau/qiushi-skill

3.8kpushed Sep 6, 2026
vs
agents logo

agents

wshobson/agents

40kpushed Sep 19, 2026

Trust & integrity

Signalqiushi-skillagents
Maintenance
Active (9d since push)
As of Sep 16, 2026 · github_public_v1
Very active (1d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 16, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
No lockfile (source not queried)
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

qiushi-skill
Build agents that investigate first, focus on the main contradiction, validate in practice, and keep pushing until the work is actually done.
agents
Multi-harness agentic plugin marketplace for various AI agents

Stars

qiushi-skill
3.8k
agents
40k

Forks

qiushi-skill
285
agents
4.2k

Open issues

qiushi-skill
19
agents
12

Language

qiushi-skill
JavaScript
agents
Python

Adopt for

qiushi-skill
Qiushi-Skill methodologically equips AI agents with rigorous analytical tools derived from materialist dialectics and practical philosophy, enabling more thorough problem-solving processes.
agents
The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot

Persona

qiushi-skill
-
agents
-

Runtime

qiushi-skill
-
agents
-

License

qiushi-skill
MIT
agents
MIT

Last pushed

qiushi-skill
Sep 6, 2026
agents
Sep 19, 2026

Categories

qiushi-skill
AI Agents
agents
AI Agents, Developer Tools

Trust and health

Maintenance

qiushi-skill
Active (82%)
agents
Very active (96%)

Days since push

qiushi-skill
9d
agents
1d

Open issues (now)

qiushi-skill
19
agents
12

Stars delta

qiushi-skill
+90 (30d)
agents
+895 (30d)

Open issues delta

qiushi-skill
-1 (30d)
agents
+7 (30d)

Full report

qiushi-skill
Trust report

Choose qiushi-skill if…

  • qiushi-skill is primarily JavaScript; agents is Python.
  • Tags unique to qiushi-skill: ai-agents, methodology, skills, workflow.
  • When you need AI agents to deeply analyze problems rather than just provide surface-level answers

When NOT to use qiushi-skill

  • Avoid if quick, heuristic-based decisions are preferred over thorough analysis
  • Not suitable when AI personality simulation is a primary requirement
  • If using non-political or non-propaganda related methodological tools might be misconstrued in your context

Choose agents if…

  • agents is primarily Python; qiushi-skill is JavaScript.
  • Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering.
  • Also covers Developer Tools.
  • You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments

When NOT to use agents

  • You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support
  • Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: qiushi-skill 3.8k · agents 40k (synced Sep 20, 2026).

Common questions

What is the difference between qiushi-skill and agents?
qiushi-skill: Build agents that investigate first, focus on the main contradiction, validate in practice, and keep pushing until the work is actually done.. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories.
When should I choose qiushi-skill over agents?
Choose qiushi-skill over agents when qiushi-skill is primarily JavaScript; agents is Python; Tags unique to qiushi-skill: ai-agents, methodology, skills, workflow; When you need AI agents to deeply analyze problems rather than just provide surface-level answers.
When should I choose agents over qiushi-skill?
Choose agents over qiushi-skill when agents is primarily Python; qiushi-skill is JavaScript; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; Also covers Developer Tools; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments.
When should I avoid qiushi-skill?
Avoid if quick, heuristic-based decisions are preferred over thorough analysis Not suitable when AI personality simulation is a primary requirement If using non-political or non-propaganda related methodological tools might be misconstrued in your context
When should I avoid agents?
You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
Is qiushi-skill or agents more popular on GitHub?
agents has more GitHub stars (39,823 vs 3,781). Stars measure visibility, not whether either tool fits your constraints.
Are qiushi-skill and agents open source?
Yes - both are open-source projects on GitHub (qiushi-skill: MIT, agents: MIT).
Where can I find alternatives to qiushi-skill or agents?
GraphCanon lists graph-backed alternatives at qiushi-skill alternatives and agents alternatives (qiushi-skill markdown twin, agents 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, qiushi-skill or agents?
qiushi-skill: Active. agents: 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 qiushi-skill and agents?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: qiushi-skill trust report; agents trust report.

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