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 pedrohcgs/Claude-Mini --skill slide-excellencegit clone --depth 1 https://github.com/pedrohcgs/Claude-MiniWrote 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/pedrohcgs/claude-mini/slide-excellence)<a href="https://agentmods.dev/skills/pedrohcgs/claude-mini/slide-excellence"><img src="https://agentmods.dev/badge/skills/pedrohcgs/claude-mini/slide-excellence/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/pedrohcgs/claude-mini/slide-excellence"><img src="https://agentmods.dev/badge/skills/pedrohcgs/claude-mini/slide-excellence.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 | $0.00029 | $0.00879 |
| Opus 5 | $0.00015 | $0.00439 |
| Sonnet 5 | $0.00006 | $0.00176 |
| Haiku 4.5 | $0.00003 | $0.00088 |
Grade A, and why
slide-excellence 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 10d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slide Excellence Review
Run a comprehensive multi-dimensional review of lecture slides. Three agents analyze the file independently, then results are synthesized into a combined summary.
Steps
1. Identify the File
Parse $ARGUMENTS for the filename. If no argument provided, ask the user which lecture to review.
Resolve the full path:
- If argument is just a name like
Lecture4_StaggeredRollout.qmd, look inQuarto/ - If argument is a
.texfile, look inSlides/ - If argument includes a path, use it directly
2. Run Review Agents in Parallel
Launch all three agents as Task subagents simultaneously.
Agent 1: Visual Audit (slide-auditor)
- Check overflow, font consistency, box fatigue, spacing, images
- Format-aware: Quarto-specific suggestions for .qmd, LaTeX-specific for .tex
- Save report to:
quality_reports/[FILENAME_WITHOUT_EXT]_visual_audit.md
Agent 2: Pedagogical Review (pedagogy-reviewer)
- Check 12 pedagogical patterns, deck-level narrative, pacing, notation
- PhD student lens: prerequisites, objections, worked examples
- Save report to:
quality_reports/[FILENAME_WITHOUT_EXT]_pedagogy_report.md
Agent 3: Proofreading (proofreader)
- Check grammar, typos, consistency, academic quality, citations
- Save report to:
quality_reports/[FILENAME_WITHOUT_EXT]_report.md
3. Synthesize Combined Summary
After all three agents complete, read their reports and produce a combined summary:
# Slide Excellence Review: [Filename]
**Date:** [date]
## Overall Quality Score: [EXCELLENT / GOOD / NEEDS WORK / POOR]
**Total Issues:** N
- Critical: X
- Medium: Y
- Low: Z
### By Dimension
| Dimension | Critical | Medium | Low |
|-----------|----------|--------|-----|
| Visual/Layout | | | |
| Pedagogical | | | |
| Proofreading | | | |
| TikZ Freshness | | | |
| Content/Env Parity | | | |
### Critical Issues (Immediate Action Required)
1. **[Dimension] [Slide/Location]** — [Description]. [Recommendation].
2. ...
### Medium Issues (Next Revision)
[Grouped by dimension]
### Reports
- Visual: `quality_reports/[FILE]_visual_audit.md`
- Pedagogy: `quality_reports/[FILE]_pedagogy_report.md`
- Proofreading: `quality_reports/[FILE]_report.md`
### Recommended Next Steps
1. Fix critical issues (prioritize pedagogical violations first)
2. Re-render and verify visual fixes
3. Re-run `/slide-excellence` to confirm improvement
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.
- 10d ago First seen · 109 lines · 29 tokens per session scan A 7c62a349fe28
slide-excellence is a skill published in the GitHub repository pedrohcgs/Claude-Mini (11 stars, last pushed 4mo ago), licensed MIT. It adds 29 tokens to every session and 879 once invoked, about $0.0001 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 2026-08-31.
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