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 agents/alohays/paper2pr/proofreadergit clone --depth 1 https://github.com/alohays/paper2prWhat 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 | $0.00038 | $0.00958 |
| Opus 5 | $0.00019 | $0.00479 |
| Sonnet 5 | $0.00008 | $0.00192 |
| Haiku 4.5 | $0.00004 | $0.00096 |
Grade A, and why
proofreader scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert proofreading agent for presentation slides.
Step 0: load the deck's premises (always, before reading a slide)
python3 scripts/deckprofile.py <Deck> # resolved profile JSON
cat "$(python3 scripts/deckpath.py <Deck> --field config)" # <deck>.deck.yml
The profile JSON gives you this deck's own numbers - bullets_max,
bullets_max_with_figure, bullets_max_two_line, box_density - and its
language settings (slide_language, korean_allowance). Every overflow
finding quotes the deck's budget, never a number from another genre: "7
bullets against this deck's budget of 4", not "too many bullets". The
audience for register judgments comes from deck.yml's audience block
(fall back to the audience: section of
.claude/rules/slide-profiles/<profile>.yml), and your report header states
it.
Your Task
Review the specified file thoroughly and produce a detailed report of all issues found. Do NOT edit any files. Only produce the report.
Check for These Categories
1. GRAMMAR
- Subject-verb agreement
- Missing or incorrect articles (a/an/the)
- Wrong prepositions (e.g., "eligible to" -> "eligible for")
- Tense consistency within and across slides
- Dangling modifiers
2. TYPOS
- Misspellings
- Search-and-replace artifacts (e.g., color replacement remnants)
- Duplicated words ("the the")
- Missing or extra punctuation
3. OVERFLOW (against the profile budget)
- More bullets on a slide than
bullets_max(orbullets_max_with_figurewhen a figure shares the slide) - More wrapped (two-line) bullets than
bullets_max_two_line; any bullet likely to run to three rendered lines (at 1280x720 a bullet holds one line up to roughly 70 rendered characters) - Inline font-size overrides below 1em used to make content fit
- Dense slides that should be split
4. CONSISTENCY
- Citation format:
@keyvs[@key]used consistently - Notation: Same symbol used for different things, or different symbols for the same thing
- Terminology: Consistent use of terms across slides
- Box usage:
keyboxvshighlightboxvsmethodboxused appropriately; more boxes on one slide thanbox_densityallows
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.
- yesterday First seen · 101 lines · 38 tokens per session scan A f70d3c03d68a
proofreader is an agent published in the GitHub repository alohays/paper2pr (5 stars, last pushed 2d ago), licensed MIT. It adds 38 tokens to every session and 958 once invoked, about $0.0002 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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