Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add DavidROliverBA/ArchitectKB --skill quality-reportgit clone --depth 1 https://github.com/DavidROliverBA/ArchitectKBWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/davidroliverba/architectkb/quality-report)<a href="https://agentmods.dev/skills/davidroliverba/architectkb/quality-report"><img src="https://agentmods.dev/badge/skills/davidroliverba/architectkb/quality-report/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/davidroliverba/architectkb/quality-report"><img src="https://agentmods.dev/badge/skills/davidroliverba/architectkb/quality-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.03646 |
| Opus 5 | $0.00000 | $0.01823 |
| Sonnet 5 | $0.00000 | $0.00729 |
| Haiku 4.5 | $0.00000 | $0.00365 |
Grade A, and why
quality-report scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 429 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/quality-report
Generate comprehensive content quality metrics and scores for vault notes using parallel Sonnet sub-agents.
Usage
/quality-report
/quality-report --type Adr # Analyze only ADRs
/quality-report --threshold 60 # Show notes scoring below 60
/quality-report --output markdown # Export to QUALITY_REPORT.md
Instructions
This skill uses 5 parallel Sonnet sub-agents to analyze different quality dimensions concurrently, then produces an overall quality score for each note and the vault.
Phase 1: Launch Parallel Quality Analyzers
Create 5 Task agents running in parallel with model: "sonnet":
Agent 1: Readability Analysis (Sonnet)
Task: Analyze text readability across all notes
- Use Glob to find all *.md files (exclude +Templates/)
- For each note:
- Read content
- Extract body text (exclude frontmatter, code blocks, tables)
- Calculate readability metrics:
* Flesch Reading Ease (0-100, higher = easier)
* Flesch-Kincaid Grade Level (US grade level)
* Average sentence length
* Average word length
* Complex word ratio (words > 3 syllables)
- Score: (Flesch Reading Ease) / 100 * 100 = 0-100
- Return: Map of filename → readability score + metrics
Formula:
Flesch Reading Ease = 206.835 - 1.015(words/sentences) - 84.6(syllables/words)
Flesch-Kincaid Grade = 0.39(words/sentences) + 11.8(syllables/words) - 15.59
Agent 2: Link Density Analysis (Sonnet)
Task: Analyze wiki-link connectivity and density
- Use Glob to find all *.md files
- Build backlink index (which notes link to each note)
- For each note:
- Count outgoing wiki-links (links to other notes)
- Count backlinks (notes linking to this one)
- Calculate link density = links per 100 words
- Identify orphaned notes (0 backlinks)
- Identify hub notes (top 10% by backlinks)
- Check for broken links
- Score calculation:
* Base: min(outgoing_links / 5, 1) * 40 points # Cap at 5 links
* Backlinks: min(backlinks / 3, 1) * 30 points # Cap at 3 backlinks
* Penalty: -20 if orphaned (0 backlinks)
* Penalty: -10 if has broken links
* Bonus: +10 if hub note (top 10%)
- Return: Map of filename → link density score + metrics
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 429 lines · 0 tokens per session scan A 895af1e320a6
quality-report is a skill published in the GitHub repository DavidROliverBA/ArchitectKB (52 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,646 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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