Laporan audit skill
sequential-opus-orchestrator Laporan audit.
Sequential single-Opus backlog walk over the ELAI plan corpus. Triggers when the user says "resume the opus walk", "opus walk", "continue the backlog walk", or "start the opus backlog walk". One paid Opus orchestrates FREE workers (kimi-k2.7 reads, glm-5.2 implements) to drain .elai_cc plans; a deterministic dispatch budget stops the session at a unit boundary and a FRESH Opus resumes from walk-state + handoff. Never two Opus concurrent.
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
Gagal30
21 star GitHub
Aktivitas star/fork
Gagal32
21 star dan 8 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
1 bulan sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Peringatan54
command execution surface, credential or environment access
Ketersediaan pemasangan
Lulus92
npx skills add DITlieD/ELAI-archive --skill sequential-opus-orchestrator
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Gagal36
secrets or environment access, shell or command execution
Bukti repositori
Lulus86
https://github.com/DITlieD/ELAI-archive/tree/main/.agents/skills/sequential-opus-orchestrator
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 DITlieD/ELAI-archive --skill sequential-opus-orchestrator
Repositori
88
https://github.com/DITlieD/ELAI-archive/tree/main/.agents/skills/sequential-opus-orchestrator
Lisensi
86
MIT
Pemeliharaan
88
1 bulan sejak push
Tinjauan AI
55
The skill is highly project-specific and depends on many external files (walk_state.py, .Codex/rules/*, prompts, etc.) that are not included in the skill directory, making it non-self-contained and hard to adopt outside the ELAI repository.
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
54
command execution surface, credential or environment access
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
36
secrets or environment access, shell or command execution
Aktivitas star/fork
32
21 star dan 8 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
42
21 star GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Peringatan
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- The skill is highly project-specific and depends on many external files (walk_state.py, .Codex/rules/*, prompts, etc.) that are not included in the skill directory, making it non-self-contained and hard to adopt outside the ELAI repository.
- Hardcoded Windows path 'F:\.ELAI_workflow' and WSL-specific commands reduce portability across environments.
- The skill references a 'harness Agent tool' that cannot route glm/kimi, implying a dependency on a specific harness implementation not described in SKILL.md.
- Low GitHub adoption signal
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 21 GitHub stars
- Stars/forks activity: 21 stars, 8 forks; issue activity unavailable in current metadata
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.
Bandingkan opsi sekitar