quality-assess
Perform GRADE quality assessment on a research source
- License 许可
- MIT
- 所属仓库
- jmagly/aiwg
- 最近更新
- 2026-11-12
- Stars
- ★ 229
- Forks
- 36
01 前言 Front Matter
- name
- quality-assess
- namespace
- aiwg
- platforms
- [ "all" ]
- commandHint
- { "category": "research-quality" }
- description
- Perform GRADE quality assessment on a research source
02 资源文件 8
- 参考文档references/errors.md323 B
- 参考文档references/examples.md87 B
- 参考文档references/launch-verification.md2.0 KB
- 参考文档references/monitoring-setup.md2.3 KB
- 参考文档references/pre-launch-checklist.md1.2 KB
- 参考文档references/production-configuration.md2.1 KB
- 参考文档references/scaling-considerations.md1.0 KB
- 参考文档references/security-checklist.md1.1 KB
03 SKILL.md 正文
Quality Assess Command
Perform a GRADE evidence quality assessment on a research source or finding.
Instructions
When invoked, perform systematic GRADE assessment:
-
Load Source
- Accept REF-XXX identifier or file path
- Load frontmatter metadata
- Determine source type and baseline quality
-
Apply GRADE Framework
- Evaluate 5 downgrade factors (bias, inconsistency, indirectness, imprecision, publication bias)
- Evaluate 3 upgrade factors (large effect, dose-response, confounding)
- Calculate final GRADE level
-
Generate Assessment
- Fill assessment template per @.aiwg/research/docs/grade-assessment-guide.md
- Include hedging language recommendations
- Include applicability notes for AIWG context
-
Save Assessment
- Save to
.aiwg/research/quality-assessments/{ref-id}-assessment.yaml - Update frontmatter in source document if --update-frontmatter
- Save to
-
Report
- Display GRADE level with confidence statement
- Show allowed vs forbidden hedging language
- Flag any existing citations that violate the assessed quality level
Arguments
[ref-id or file-path]- Source to assess (required)--output [yaml|markdown]- Output format (default: yaml)--update-frontmatter- Update source document frontmatter with assessment--check-citations- Also check existing citations of this source for GRADE compliance
References
- @.aiwg/research/docs/grade-assessment-guide.md - GRADE methodology
- @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/agents/quality-assessor.md - Quality Assessor agent
- @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/schemas/research/quality-dimensions.yaml - Quality schema
- @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/rules/citation-policy.md - Hedging language rules
04 同仓库更多 Skills
host-hardening
Read-only system hardening baseline and plan-first host hardening recommendations for SSH, Docker bind addresses, firewall persistence, datastores, exporters and audit retention.
exposure-analysis
Read-only firewall analysis and effective host exposure reconstruction for Docker published ports, UFW bypass, stale rules, CDN scope, IPv6 asymmetry and external probe allowlists.
host-hardening
Read-only system hardening baseline and plan-first host hardening recommendations for SSH, Docker bind addresses, firewall persistence, datastores, exporters and audit retention.
exposure-analysis
Read-only firewall analysis and effective host exposure reconstruction for Docker published ports, UFW bypass, stale rules, CDN scope, IPv6 asymmetry and external probe allowlists.
fixture-skill
Exercise rule delivery.
pi-local
Pi-local duplicate-precedence fixture.