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course-quality-control-reporting
Turn QA findings into concrete quality control actions, remediation plans, closure tracking, and release or re-review reports.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Turn QA findings into concrete quality control actions, remediation plans, closure tracking, and release or re-review reports.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
胖鱼PEtFiSh常驻伙伴:感知需求与能力缺口(Tier1领域映射+Tier2意图检测)、 查询已装pack状态、自动检查更新、推荐安装/升级并提供/petfish命令入口。Use when users ask /petfish, /petfish upgrade, /petfish uninstall, "what skills do I have", "what else can you do", "check for updates", "uninstall pack", need deploy/course/ppt/testdocs/petfish/calibrate/ context/research capabilities, or need cross-marketplace skill/MCP discovery and skill ecosystem governance.
Search/discover skills and MCP servers across PEtFiSh, PEtFiSh Market (community), Glama, Smithery, SkillKit, anthropics/skills, and GitHub. Use for /petfish search, “find a skill for…”, “search marketplace”, “is there a skill that…”, “MCP server for…”, “discover tools for…”, or when local capabilities are missing. Returns ranked cross-source results plus install/config guidance.
Publish validated skill packs to PEtFiSh Market. Generates registry JSON entries from pack-manifest.json for optional packs. Trigger on 'publish skill', 'publish pack', 'release to market', '发布到市场'. Runs after quality-gate PASS. Outputs registry JSON files ready for commit to petfish-market. Supports --generate-index to regenerate index.json and --push to auto-commit and push to petfish-market via gh CLI.
Rewrite, polish, humanize, de-AI, or formalize Chinese or English technical, academic, business, course, proposal, patent, and email content into Petfish's structured, evidence-based, engineering-oriented style. Supports custom style profiles, de-ai-detector reports, enhanced Chinese de-AI rules, and optional taste enhancement. Triggers: 用我的语言习惯表达, 说人话, 润色, 去AI味, 按我的风格写, 改得更像人写的, 论文润色, 学术写作, abstract rewrite, rewrite my paper.
Extract personal writing style from samples to create a style profile. Analyzes sentence patterns, vocabulary preferences, argumentation structure, punctuation habits, tone markers, and AI-distinguishability signals across Chinese and English. Use when "提炼我的写作风格", "extract my style", "create style profile", "analyze my writing", "风格画像", "个性化风格提取", or when setting up petfish-style-rewriter for the first time.
Detect AI writing patterns in Chinese or English text. Use when the user asks to 检测AI味 / 检测AI痕迹 / 去AI检测 / AI写作检测, detect AI writing, check for AI patterns, is this AI-generated, AI slop check, or detect_ai. Produces a structured quantitative + qualitative detection report; does not rewrite.
| name | course-quality-control-reporting |
| description | Turn QA findings into concrete quality control actions, remediation plans, closure tracking, and release or re-review reports. |
| license | Proprietary |
| compatibility | Designed for OpenCode. Assumes repo-local `.opencode/skills` discovery and standard read/edit/bash tools; optional scripts should run through a repo-local uv environment; requires uv and Python 3.11+. |
| metadata | {"pack":"opencode-course-skills"} |
Convert QA findings into controlled remediation and decision-ready reporting.
A QC report should answer:
# QC Report
## Source QA baseline
## Remediation summary
## Issue-by-issue status
## Residual risks
## Release recommendation
## Next review gate
Use:
uv run scripts/render_qc_report.py --help
when the user already has structured QA findings or wants a repeatable Markdown report generated from JSON input.
See:
assets/qc-report-template.mdreferences/status-model.md