Laporan audit skill

context-optimization Laporan audit.

This skill should be used for improving context efficiency: context budgeting, observation masking, prefix or KV-cache strategy, partitioning, token-cost reduction, retrieval scoping, and extending effective context capacity without lowering answer quality.

Eksperimental · TinjauPerlu ditinjauDihasilkan 12 Okt 2026Audit metadata heuristik
82
Audit
74
Kepercayaan
86
Kualitas
78
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

74
Shortlist kuat

Trust Score OpenAgentSkill

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

Adopsi GitHub

Lulus

100

18K star GitHub

Aktivitas star/fork

Lulus

97

18K star dan 1.5K fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

2 bulan sejak push

Kejelasan lisensi

Lulus

86

MIT

Kelengkapan README/SKILL.md

Lulus

86

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Info

72

Akses kredensial atau variabel lingkungan

Ketersediaan pemasangan

Lulus

92

npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-optimization

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Peringatan

60

secrets or environment access, filesystem or document access

Bukti repositori

Lulus

86

https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-optimization

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

8 Lulus · 10 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-optimization

Repositori

88

Lulus

https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-optimization

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

2 bulan sejak push

Tinjauan AI

55

Periksa

The SKILL.md excerpt is incomplete at the end, so the full masking rules and edge cases are not fully visible in the provided snippet.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

72

Periksa

Akses kredensial atau variabel lingkungan

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

60

Periksa

secrets or environment access, filesystem or document access

Aktivitas star/fork

97

Lulus

18K star dan 1.5K fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

88

Lulus

18K star GitHub

Peringatan

  • Permission surface may require sandboxing
  • The SKILL.md excerpt is incomplete at the end, so the full masking rules and edge cases are not fully visible in the provided snippet.
  • The Python utilities use heuristic token estimation and simple summarization; the code itself notes that production systems should use model-specific tokenizers and LLM-based summarization.
  • The skill does not explicitly address handling untrusted or adversarial content inside tool outputs during masking or compaction, though the stated rules mitigate some risk.
  • 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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