neqsim-professional-reporting
neqsim-professional-reporting is a Research reports & synthesis skill for AI agents, published by equinor in the neqsim repository on GitHub. Skillspace rates neqsim-professional-reporting D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Engineering deliverable quality — results.json schema, figure→discussion→linked_results traceability, evidence matrices, assumptions/gaps registers, citation conventions, KaTeX math formatting, units consistency, executive-summary structure, AACE class declaration. USE WHEN: producing a task report, building a notebook deliverable, or finalizing any engineering output that needs to look like it came from a senior engineer. Consolidates the rules scattered across AGENTS.md and copilot-instructions.md.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 132
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 87 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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