Nlp Toolkit
v1.0.0Advanced NLP with perplexity scoring, burstiness analysis, and entropy calculation
⭐ 0· 842·4 current·5 all-time
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (NLP analysis with perplexity, burstiness, entropy) matches the JS implementation in SKILL.md. There are no unrelated environment variables, binaries, or installs requested.
Instruction Scope
Instructions implement only local text analysis (no network, no file or env access). However, the 'perplexity' calculation is a simplified heuristic (unique-word ratio) rather than true language-model perplexity — this is a functional limitation (potential for false positives/negatives), not a coherence/security problem.
Install Mechanism
No install spec and no code files beyond SKILL.md — nothing is written to disk or downloaded by the skill itself.
Credentials
Skill requests no environment variables, credentials, or config paths; requested access is proportional to the stated purpose.
Persistence & Privilege
Skill is not marked always:true and is user-invocable (default). It does not request persistent privileges or modify other skills or system settings.
Assessment
This skill appears coherent and only runs local statistical analyses on provided text (no networking, no credentials). However: 1) the perplexity implementation is a simplistic heuristic and may misclassify content — test it with known human/AI examples before relying on results; 2) the skill has unknown provenance (no homepage, source unknown) — if you need higher assurance, request the original source or review the full implementation in a trusted environment; 3) because it can be invoked by the agent, avoid granting it additional credentials or combining it with other skills that do network or file I/O unless you review those integrations.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
