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 agentmods add skills/vladolaru/claude-code-plugins/marp-slide-qualitynpx skills add vladolaru/claude-code-plugins --skill marp-slide-qualitygit clone --depth 1 https://github.com/vladolaru/claude-code-pluginsWrote 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/vladolaru/claude-code-plugins/marp-slide-quality)<a href="https://agentmods.dev/skills/vladolaru/claude-code-plugins/marp-slide-quality"><img src="https://agentmods.dev/badge/skills/vladolaru/claude-code-plugins/marp-slide-quality.svg" alt="Measured on agentmods" 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 | $0.00063 | $0.00930 |
| Opus 5 | $0.00032 | $0.00465 |
| Sonnet 5 | $0.00013 | $0.00186 |
| Haiku 4.5 | $0.00006 | $0.00093 |
Grade A, and why
marp-slide-quality 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 2d 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marp Slide Quality Analyzer
This Skill uses SlideGauge to analyze Marp markdown presentations and help you create high-quality slides that follow best practices.
When to use this Skill
- User is working on a Marp presentation (
.mdfile withmarp: truefrontmatter) - User asks to check, analyze, validate, or improve slide quality
- User mentions SlideGauge or slide quality issues
- User wants to fix specific slide problems (too many bullets, long content, etc.)
Instructions
1. Initial Analysis
When user asks to analyze their slides:
# Run SlideGauge with text output for quick overview
uvx --from git+https://github.com/nibzard/slidegauge slidegauge <path-to-presentation.md> --text
Explain the results:
- Overall score and passing rate
- Number of issues found
- Category breakdown (a11y, code, color, content, layout)
2. Detailed Analysis
For slides that need fixing (score < 80):
# Get JSON output with detailed diagnostics
uvx --from git+https://github.com/nibzard/slidegauge slidegauge <path-to-presentation.md> --json | jq '.slides[] | select(.score < 80)'
For each failing slide, identify:
- Exact slide number and title
- Specific issues with deduction amounts
- Actionable recommendations
3. Fix Common Issues
Use the Edit tool to fix issues. See FIXES.md for specific fix patterns.
Common fixes:
- Too many bullets: Split into multiple slides or consolidate
- Content too long: Trim text or split slide
- Code too long: Simplify examples or split
- Too many lines: Reduce content density
- Title too long: Shorten to ≤35 characters
4. Validate Fixes
After making changes, re-run SlideGauge:
uvx --from git+https://github.com/nibzard/slidegauge slidegauge <path-to-presentation.md> --text
Compare before/after scores and confirm improvements.
Workflow
- Analyze: Run SlideGauge to get baseline scores
- Prioritize: Focus on slides scoring < 70 first, then < 80
- Fix: Apply fixes from FIXES.md based on diagnostics
- Validate: Re-run to confirm improvements
- Iterate: Repeat until all slides pass (≥70) or user is satisfied
What ships with it
3 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.
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.
- 2d ago First seen · 120 lines · 63 tokens per session scan A 2d91666f1bc5
marp-slide-quality is a skill published in the GitHub repository vladolaru/claude-code-plugins (8 stars, last pushed yesterday), licensed MIT. It adds 63 tokens to every session and 930 once invoked, about $0.0003 per session on Opus 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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