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 raja21068/AutoResearch --skill slides-polishgit clone --depth 1 https://github.com/raja21068/AutoResearchWrote 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/raja21068/autoresearch/slides-polish)<a href="https://agentmods.dev/skills/raja21068/autoresearch/slides-polish"><img src="https://agentmods.dev/badge/skills/raja21068/autoresearch/slides-polish/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/raja21068/autoresearch/slides-polish"><img src="https://agentmods.dev/badge/skills/raja21068/autoresearch/slides-polish.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 | $0.00136 | $0.07607 |
| Opus 5 | $0.00068 | $0.03803 |
| Sonnet 5 | $0.00027 | $0.01521 |
| Haiku 4.5 | $0.00014 | $0.00761 |
Grade A, and why
slides-polish 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 8d 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.
This is a copy
94% identical to slides-polish — 36 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 566 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slides Polish: Per-Page Codex Review + Targeted Layout Fixes
Polish a generated slide deck — Beamer (.tex + .pdf) and/or PPTX — by
running per-page Codex review against a reference visual and applying
surgical fixes (font scaling, text-frame resize, callout-box style, em-dash
spacing, anonymity placeholders, Chinese-font hints, italic style leaks)
until each slide reads at the same visual weight as the reference.
Polish: $ARGUMENTS
What This Skill Is — and Is NOT
This skill polishes layout and typography only. It is the post-generation visual pass for an existing deck.
Hard scope rules (load-bearing — see Hard Invariants):
- It does not rewrite content, claims, numbers, citations, URLs, author names, affiliations, or experiment results.
- It does not add, remove, or reorder slides unless the user explicitly
asks (e.g.,
— add-slide/— drop-slideflags). - It does not generate outlines, speaker scripts, or new Beamer/PPTX from
paper source. That is
/paper-slides's job. - It does not change figures or equations content.
If you do not yet have a deck, run /paper-slides first. If you want to
change content, go back to /paper-slides Phases 1-2 (or rewrite the outline
manually) — do not run /slides-polish for that.
Constants
- REVIEWER_MODEL =
gpt-5.5— Codex MCP model for per-page review. xhigh reasoning is non-negotiable (see../shared-references/effort-contract.md).gpt-5.4is acceptable when the user has nogpt-5.5access;gpt-5.5is preferred for visual nuance. - REVIEWER_REASONING =
xhigh— Hard invariant; the effort knob does not change this. - CONTEXT_POLICY =
fresh— Each per-page review uses a fresh Codex thread (mcp__codex__codex, nevercodex-reply). See../shared-references/reviewer-independence.md. This prevents the reviewer from anchoring on prior fixes. - REFERENCE_VISUAL — Path to a PDF the user wants the polished deck to align with in visual weight (typography proportion, color discipline, callout density). Required input. If polishing PPTX only, the Beamer compile of the same talk is the ideal reference. If no reference exists yet, ask the user; do not silently default to "Why-RF" or any preset.
- STYLE_PRESET =
generic— Default style anchor. Other options:why-rf(academic-minimalist, derived from a 2025 academic talk),neurips,icml,iclr,cvpr. Presets influence color discipline + element library; the reference PDF is the visual ground truth, not the preset. - PPTX_SCALE_HINT =
1.6×— Heuristic multiplier from Beamer point sizes to PPTX point sizes for matched visual weight on 13.33"×7.5" PowerPoint at 16:9. Range 1.5-1.8×. The actual scale is always validated by visual review, never blindly applied. - INTERACTIVE = false — When false, applies the recommended fix automatically and continues to the next slide. When true (
— interactive), pauses for user confirmation before each fix. - OUTPUT_VERSIONING = on — Output is a versioned file named
<input-stem>_polished.<ext>(or_polished_v2,_v3, …). Snapshot of the input is preserved as<input-stem>_pre_polish.<ext>. The original is never overwritten. All edit operations target the_polishedworking copy.
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.
- 8d ago First seen · 566 lines · 136 tokens per session scan A 111dffb27139
slides-polish is a skill published in the GitHub repository raja21068/AutoResearch (2 stars, last pushed 3mo ago), licensed MIT. It adds 136 tokens to every session and 7,607 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to slides-polish, differing in 36 lines, and is treated as a copy.
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