What is skill-quality-dashboard?

A read-only dashboard that combines existing maintainer reports about skill documentation, links, and evaluation health. It summarises report files rather than generating or editing them.

Use it to list available reports and produce an overall quality summary, including JSON output for other tools.

It gives maintainers one view of quality signals across the skill collection and highlights where deeper checks are needed.

skill-quality-dashboard — Skill for Claude Code by wyattowalsh/agents

Install

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.

Any agent

npx skills add wyattowalsh/agents --skill skill-quality-dashboard

Clone the repo

git clone --depth 1 https://github.com/wyattowalsh/agents

Made for: Claude Code.

Or install agents, the plugin that ships this one along with the rest of its 71 skills, 20 agents, 5 hooks.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/wyattowalsh/agents/skill-quality-dashboard/github.svg)](https://agentmods.dev/skills/wyattowalsh/agents/skill-quality-dashboard)

Your own site

<a href="https://agentmods.dev/skills/wyattowalsh/agents/skill-quality-dashboard"><img src="https://agentmods.dev/badge/skills/wyattowalsh/agents/skill-quality-dashboard/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/wyattowalsh/agents/skill-quality-dashboard"><img src="https://agentmods.dev/badge/skills/wyattowalsh/agents/skill-quality-dashboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 325 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00032	$0.00325
Opus 5.5	$0.00013	$0.00130
Sonnet 5.5	$0.00006	$0.00065
Haiku 4.5	$0.00003	$0.00032

Measured 1mo ago against content hash 87acb8027c43, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-quality-dashboard 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 1mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/aggregate_reports.py, scripts/asset_toolkit/validate_hooks.py, scripts/check.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/skill-quality-dashboard/SKILL.md · 50 lines

What it actually says

Skill Quality Dashboard

Summarize maintainer ops reports for skill and docs quality gates.

Scope: Read-only aggregation of committed docs/public/generated-reports/*.json. Does not regenerate reports.

Dispatch

$ARGUMENTS	Action
Empty	Default dashboard summary
`--format json`	Machine-readable aggregate
`reports`	List registered report files and key counts

Workflow

uv run python skills/skill-quality-dashboard/scripts/aggregate_reports.py
uv run python skills/skill-quality-dashboard/scripts/aggregate_reports.py --format json

Regenerate upstream reports with the repo docs-generation pipeline — do not hand-edit JSON.

Validation Contract

uv run python skills/skill-quality-dashboard/scripts/check.py

Critical Rules

Treat generated report JSON as evidence, not authority to bypass validate gates.
Never hand-edit docs/public/generated-reports/*.json.
Pair dashboard output with skill-lifecycle-manager for per-skill readiness.
Route broken-link remediation to docs-steward.
Do not claim reports are fresh without checking generation timestamps when present.

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

1mo ago First seen · 50 lines · 32 tokens per session scan A 87acb8027c43

Subscribe to this mod's changes

skill-quality-dashboard is a skill published in the GitHub repository wyattowalsh/agents (5 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 325 once invoked, about $0.0001 per session on Opus 5.5. 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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