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Show content quality scores and QA results for tasks that have cleared the pipeline. Use when the user says "quality report", "show quality scores", "how's the content quality", or "QA results".
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
TTS pronunciation configuration. Controls how written text is normalized to natural spoken English before being passed to the Speaches/Kokoro TTS engine. Two DB-configurable app_settings keys let operators add or override pronunciation rules without code changes.
Image-direction prompts for the content pipeline. Generate featured-image prompts, build stock image search queries, run the image-director reasoning that picks which sections get visuals (image_gen vs pexels, style, and prompt/query for each) plus one featured hero image, and caption rendered images with vision-derived alt text.
Generate a native, community-appropriate Reddit value-post from a published blog post
Blog drafting & revision prompts. Turn a topic + research context into a publication-ready markdown article, then refine it against reviewer feedback. Includes the writer system prompt, the draft request, the anti-fabrication initial-draft prompt, an SEO-metadata helper, and the iterative-refinement prompt. Use during the content-generation stage of the pipeline.
Video director — given a post body + podcast script + target duration, produces a JSON shot list (ordered shots with per-shot source plugin, prompt/query, and duration) for the post's video. Enforces the no-AI-humans + stylized-not-photoreal policies. Used by the generate_video_shot_list pipeline stage. Operator brand is templated via {site_name}.
Classify a published post into brand content-types (multi-label). Populates post_content_types via ClassifyContentTypesJob.
| name | quality-report |
| description | Show content quality scores and QA results for tasks that have cleared the pipeline. Use when the user says "quality report", "show quality scores", "how's the content quality", or "QA results". |
Shows recent tasks that have cleared the multi-model QA pipeline, grouped by status. The pipeline ends in one of two terminal states (not "completed" — that status was removed in the 2026-04 refactor):
/pipelineEach task carries a quality_score populated by multi_model_qa.py after the
anti-hallucination QA rails finish. Six OSS rails run (all advisory): DeepEval ×3
(deepeval_brand_fabrication, deepeval_g_eval, deepeval_faithfulness),
guardrails ×2 (guardrails_brand, guardrails_competitor, native/dep-free since
#996), and Ragas ×1 (ragas_eval, averaging faithfulness + answer-relevancy +
context-precision).
scripts/run.sh # Both awaiting_approval + published, last 10 each
scripts/run.sh awaiting [limit] # Just the human-review queue
scripts/run.sh published [limit] # Just posts that went live
mode (optional): awaiting | published | all (default)limit (optional): number of tasks per group. Defaults to 10.For each task: id, title, topic, quality_score, updated_at.
Score range is 0–100 from the multi-model QA aggregator. 80+ is typical for
approved posts; anything that got below the qa_final_score_threshold setting
(currently 80) never reaches these states — it gets rejected.