Laporan audit skill
context-fundamentals Laporan audit.
This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development.
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopsi GitHub
Lulus100
18K star GitHub
Aktivitas star/fork
Lulus97
18K star dan 1.5K fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
2 bulan sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Info64
credential or environment access, network or browser surface
Ketersediaan pemasangan
Lulus92
npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Peringatan46
secrets or environment access, filesystem or document access
Bukti repositori
Lulus86
https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals
Status peninjauan
Info66
Data tinjauan AI tersedia
Hasil terbukti Agent
Info54
Belum ada data hasil Agent
Pemeriksaan
Tinjauan pemasangan dan adopsi
Jalur pemasangan
92
npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals
Repositori
88
https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals
Lisensi
86
MIT
Pemeliharaan
88
2 bulan sejak push
Tinjauan AI
55
SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
64
credential or environment access, network or browser surface
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
46
secrets or environment access, filesystem or document access
Aktivitas star/fork
97
18K star dan 1.5K fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
88
18K star GitHub
Peringatan
- Permission surface may require sandboxing
- SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.
- The skill is primarily conceptual and does not include a concrete end-to-end example in SKILL.md, making it slightly harder to apply directly without reading the referenced specialized skills.
- The Python utility is marked as a demo token estimator, so users may mistake the heuristic for a production-grade tokenizer unless they read the module docstring carefully.
- Quality score needs review
- Permission surface needs review: secrets or environment access, filesystem or document access
- Permission surface: secrets or environment access, filesystem or document access
Metode
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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