Skill audit report
sequential-opus-orchestrator Audit report.
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.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
21 GitHub stars
Stars/forks activity
FAIL32
21 stars, 8 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN54
command execution surface, credential or environment access
Install availability
PASS92
npx skills add DITlieD/ELAI-archive --skill sequential-opus-orchestrator
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL36
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/DITlieD/ELAI-archive/tree/main/.agents/skills/sequential-opus-orchestrator
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add DITlieD/ELAI-archive --skill sequential-opus-orchestrator
Repository
88
https://github.com/DITlieD/ELAI-archive/tree/main/.agents/skills/sequential-opus-orchestrator
License
86
MIT
Maintenance
88
1mo since push
AI review
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.
README/SKILL.md completeness
86
Usable description available
Dependency risk
54
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
36
secrets or environment access, shell or command execution
Stars/forks activity
32
21 stars, 8 forks; issue activity unavailable in current metadata
Adoption
42
21 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnings
- 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
Method
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.
Compare nearby options