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Comparison

CL4R1T4S vs awesome

Verdict

Pick CL4R1T4S when license: CL4R1T4S is AGPL-3.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, CL4R1T4S is AGPL-3.0.

Markdown twin · CL4R1T4S alternatives · awesome alternatives

GraphCanon updated today

CL4R1T4S logo

CL4R1T4S

elder-plinius/CL4R1T4S

★ 45kpushed Jun 15, 2026
vs
awesome logo

awesome

sindresorhus/awesome

★ 484kpushed Jun 30, 2026

Trust & integrity

SignalCL4R1T4Sawesome
Maintenance
Active (26d since push)
As of 1d · github_public_v1
Active (11d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of 1d · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of today · none
CL4R1T4S trust reportawesome trust reportTrust methodology

Tagline

CL4R1T4S
LEAKED SYSTEM PROMPTS FOR CHATGPT, CLAUDE, GEMINI, GROK, PERPLEXITY, CURSOR, LOVABLE, REPLIT, AND MORE! - AI SYSTEMS TRANSPARENCY FOR ALL! 👐
awesome
😎 Awesome lists about all kinds of interesting topics

Stars

CL4R1T4S
45k
awesome
484k

Forks

CL4R1T4S
9.2k
awesome
36k

Open issues

CL4R1T4S
118
awesome
92

Language

CL4R1T4S
-
awesome
-

Adopt for

CL4R1T4S
-
awesome
A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics.

Persona

CL4R1T4S
-
awesome
-

Runtime

CL4R1T4S
-
awesome
-

License

CL4R1T4S
AGPL-3.0
awesome
CC0-1.0

Last pushed

CL4R1T4S
Jun 15, 2026
awesome
Jun 30, 2026

Categories

CL4R1T4S
AI Agents, LLM Frameworks
awesome
Developer Tools

Trust and health

Days since push

CL4R1T4S
26d
awesome
11d

Open issues (now)

CL4R1T4S
118
awesome
92

Full report

CL4R1T4S
Trust report
awesome
Trust report

Choose CL4R1T4S if…

  • License: CL4R1T4S is AGPL-3.0, awesome is CC0-1.0.
  • Tags unique to CL4R1T4S: agents, ai, chatgpt, gemini.
  • Also covers AI Agents, LLM Frameworks.

When NOT to use CL4R1T4S

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Choose awesome if…

  • License: awesome is CC0-1.0, CL4R1T4S is AGPL-3.0.
  • Tags unique to awesome: awesome, awesome-list, lists, resources.
  • Also covers Developer Tools.
  • When you need well-organized access to diverse technical subjects from IoT to robotics

When NOT to use awesome

  • If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources
  • In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion
GitHubDetails

Explore

CL4R1T4S trust report →awesome trust report →AI Agents category →LLM Frameworks category →Developer Tools category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: CL4R1T4S 45k · awesome 484k (synced Jul 11, 2026).

Common questions

What is the difference between CL4R1T4S and awesome?
CL4R1T4S: LEAKED SYSTEM PROMPTS FOR CHATGPT, CLAUDE, GEMINI, GROK, PERPLEXITY, CURSOR, LOVABLE, REPLIT, AND MORE! - AI SYSTEMS TRANSPARENCY FOR ALL! 👐. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories.
When should I choose CL4R1T4S over awesome?
Choose CL4R1T4S over awesome when License: CL4R1T4S is AGPL-3.0, awesome is CC0-1.0; Tags unique to CL4R1T4S: agents, ai, chatgpt, gemini; Also covers AI Agents, LLM Frameworks.
When should I choose awesome over CL4R1T4S?
Choose awesome over CL4R1T4S when License: awesome is CC0-1.0, CL4R1T4S is AGPL-3.0; Tags unique to awesome: awesome, awesome-list, lists, resources; Also covers Developer Tools; When you need well-organized access to diverse technical subjects from IoT to robotics.
When should I avoid CL4R1T4S?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
When should I avoid awesome?
If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion
Is CL4R1T4S or awesome more popular on GitHub?
awesome has more GitHub stars (484,026 vs 45,233). Stars measure visibility, not whether either tool fits your constraints.
Are CL4R1T4S and awesome open source?
Yes - both are open-source projects on GitHub (CL4R1T4S: AGPL-3.0, awesome: CC0-1.0).
Where can I find alternatives to CL4R1T4S or awesome?
GraphCanon lists graph-backed alternatives at CL4R1T4S alternatives and awesome alternatives (CL4R1T4S markdown twin, awesome 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, CL4R1T4S or awesome?
CL4R1T4S: Active. awesome: 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 CL4R1T4S and awesome?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CL4R1T4S trust report; awesome trust report.