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.
git clone --depth 1 https://github.com/TobiasBlask/open-paper-machineWrote 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/commands/tobiasblask/open-paper-machine/analyze-writing)<a href="https://agentmods.dev/commands/tobiasblask/open-paper-machine/analyze-writing"><img src="https://agentmods.dev/badge/commands/tobiasblask/open-paper-machine/analyze-writing/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/commands/tobiasblask/open-paper-machine/analyze-writing"><img src="https://agentmods.dev/badge/commands/tobiasblask/open-paper-machine/analyze-writing.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 | $0.00046 | $0.00373 |
| Opus 5 | $0.00023 | $0.00187 |
| Sonnet 5 | $0.00009 | $0.00075 |
| Haiku 4.5 | $0.00005 | $0.00037 |
Grade A, and why
analyze-writing 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 9d 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.
What it actually says
Analyze Writing: $ARGUMENTS
Activate the writing-engine skill. Read skills/writing-engine/SKILL.md in full,
then execute a style analysis (not a drafting task):
- READ the paper (draft.md or paper.tex)
- ANALYZE each section for writing quality indicators:
- Passive voice ratio (target: <30% of sentences)
- Weak openings ("It is important...", "There are...", "In today's world...")
- Hedging balance (under-hedging vs. over-hedging)
- Average sentence length and variation (target: 15-25 words, varied)
- Word/phrase repetitions in consecutive sentences
- Paragraph length consistency (target: 4-8 sentences per paragraph)
- Transition quality between paragraphs
- Citation integration style (parenthetical vs. narrative balance)
- SCORE each section (Strong / Adequate / Needs Work)
- LIST specific improvements with line/section references
- SAVE to
writing_analysis.md
Input
$ARGUMENTS can be:
- Empty — analyzes the entire paper
- Section name (e.g.,
"Introduction","Discussion") — analyzes one section - File path to a specific file
Output
writing_analysis.md— section-by-section quality scores + specific improvement suggestions- Each suggestion includes the problematic text and a concrete rewrite option
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.
- 9d ago First seen · 39 lines · 46 tokens per session scan A 2057f0371fa3
analyze-writing is a command published in the GitHub repository TobiasBlask/open-paper-machine (18 stars, last pushed 5mo ago), licensed MIT. It adds 46 tokens to every session and 373 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 2026-08-30.
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