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quality-report

Show content quality scores and QA results for tasks that have cleared the pipeline.

Skill by Glad-Labs

IndexedApache-2.0★ 6
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/glad-labs-quality-report

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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".

Use cases: documents, testing, data, writing

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Runs as
Shell scripts

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/quality-report

What's inside

Skill 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".
License
Apache-2.0
Instructions
37 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (2)

  • SKILL.md
  • run.sh · scripts/

SKILL.md (first lines)

# Quality Report

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):

- **awaiting_approval** — passed QA, waiting on human review at `/pipeline`
- **published** — approved and pushed to the site via Vercel

Each 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).

## Usage

```bash
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
```

## Parameters

- `mode` (optional): `awaiting` | `published` | `all` (default)
- `limit` (optional): number of tasks per group. Defaults to 10.

## Output

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.

From Glad-Labs/poindexter, Apache-2.0.

More from Glad-Labs/poindexter

Signals

Stars
6
Forks
2
Open issues
31
Last commit (this folder)
Jul 26, 2026 (3 months ago)
Last release
Oct 21, 2026 (8 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from Glad-Labs

Cite this page

quality-report skill. Agent Mart. https://agentmart.dev/skills/glad-labs-quality-report (last updated 2026-10-24)