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 yushui2022/MathModel-Skill --skill paper-micro-unit-generatorgit clone --depth 1 https://github.com/yushui2022/MathModel-SkillWrote 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/yushui2022/mathmodel-skill/paper-micro-unit-generator)<a href="https://agentmods.dev/skills/yushui2022/mathmodel-skill/paper-micro-unit-generator"><img src="https://agentmods.dev/badge/skills/yushui2022/mathmodel-skill/paper-micro-unit-generator/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/yushui2022/mathmodel-skill/paper-micro-unit-generator"><img src="https://agentmods.dev/badge/skills/yushui2022/mathmodel-skill/paper-micro-unit-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.01091 |
| Opus 5.5 | $0.00025 | $0.00436 |
| Sonnet 5.5 | $0.00013 | $0.00218 |
| Haiku 4.5 | $0.00006 | $0.00109 |
Grade A, and why
paper-micro-unit-generator 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 6d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper Micro-Unit Generator
Resolve <SKILL_ROOT> to the parent directory of this loaded skill folder, using its actual absolute path. Run commands from the contest project root, never from the installed skill directory. The placeholder is not a shell environment variable.
Use this skill only for local repair or an explicitly requested legacy scaffold. paper-formal-writer remains the sole formal author and the only producer of paper_output/final_paper_source.md and paper_output/final_paper.docx.
Entry Check
For formal repair, run:
python "<SKILL_ROOT>/paper-workflow-orchestrator/scripts/workflow_guard.py" --skill paper-micro-unit-generator
Continue only when S0-S6 pass and paper_output/qa/repair_queue.json contains at least one item whose strategy is micro-repair. Do not create a repair queue manually to bypass the two-failure threshold.
Legacy and quickstart modes are installation or old-model scaffolds. They do not satisfy S7 and do not require the formal repair queue.
Formal Repair Mode
- Read
paper_output/plan/writing_plan.json,paper_output/context/authoring_state.json,paper_output/qa/draft_audit.json, andpaper_output/qa/repair_queue.json. - Select only queued
micro-repairitems. Keep the issue ID, section, failure category, expected evidence, and attempt count intact. - Read the affected section draft and only the evidence needed by that issue. Do not rewrite unrelated sections.
- Write repair material to
paper_output/drafts/repairs/<issue-id>.md. The material must contain concrete replacement text, its target location, and any required evidence marker. - Apply the replacement to the queued section draft. Preserve valid headings, equations, figure/table identifiers, citations, and evidence markers.
- Re-run the section audit:
python "<SKILL_ROOT>/paper-formal-writer/scripts/validate_authoring.py" --section <section-id>
- Return to
paper-formal-writerorpaper-workflow-orchestrator. This skill must not assemble the formal manuscript or generate Word.
What ships with it
4 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.
- 6d ago Changed · +1 lines · +24 tokens per session 9d04062db2f9
- 8d ago Changed · +2 lines 59fdb25daf5c
- 1mo ago Changed · -355 lines · -17 tokens per session fb1cf12fb229
- 1mo ago First seen · 444 lines · 56 tokens per session scan A 5830d1ee58a1
paper-micro-unit-generator is a skill published in the GitHub repository yushui2022/MathModel-Skill (456 stars, last pushed 3d ago), licensed MIT. It adds 63 tokens to every session and 1,091 once invoked, about $0.0003 per session on Opus 5.5. 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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