Skill audit report
Quant-focused research ideation pipeline: scope selection (3 stages) → anchor-first literature grounding → single-core idea generation → iterative refinement → ELO tournament ranking (Final = N+R+C−D) → update evo-memory → user selects direction → expand into manuscript-quality proposal. Optimized for incremental, anchor-first contributions. Use when: user wants to find a quant research direction, brainstorm ideas within a scope stage, evaluate idea novelty, design a novel solution anchored to an existing paper, rank/compare research ideas, or generate a research proposal. Do NOT use for finding/searching/reading papers (use local-paper-navigator), literature survey reports (use research-survey), or planning a paper (use paper-planning).
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
212 GitHub stars
Stars/forks activity
WARN51
212 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
6d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add CamusGIT/EvoQuant --skill research-ideation
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/research-ideation
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add CamusGIT/EvoQuant --skill research-ideation
Repository
88
https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/research-ideation
License
86
Apache-2.0
Maintenance
100
6d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Warnings
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.
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Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
51
212 stars, 3 forks; issue activity unavailable in current metadata
Adoption
68
212 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.