Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/yushui2022/MathModel-Skillnpx agentmods add skills/yushui2022/mathmodel-skill/paper-formal-writerWrote 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-formal-writer)<a href="https://agentmods.dev/skills/yushui2022/mathmodel-skill/paper-formal-writer"><img src="https://agentmods.dev/badge/skills/yushui2022/mathmodel-skill/paper-formal-writer/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-formal-writer"><img src="https://agentmods.dev/badge/skills/yushui2022/mathmodel-skill/paper-formal-writer.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 | $0.00052 | $0.01434 |
| Opus 5 | $0.00026 | $0.00717 |
| Sonnet 5 | $0.00010 | $0.00287 |
| Haiku 4.5 | $0.00005 | $0.00143 |
Grade A, and why
paper-formal-writer 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 3d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper Formal Writer
This skill is the sole formal author and final manuscript producer in Standard. It turns a fresh S6 evidence chain into an audited Markdown source and native-equation Word document.
Entry
Run before formal work:
python .claude/skills/paper-workflow-orchestrator/scripts/workflow_guard.py --skill paper-formal-writer
S0-S6 must pass. If workflow state is uncertain, run workflow_guard.py --status and follow its current artifact report rather than memory.
Single Formal Path
S6 evidence PASS
-> writing plan
-> chapter drafts
-> chapter audits
-> queued local repair when required
-> deterministic assembly
-> Agent global revision
-> final Markdown audit
-> formal DOCX
-> S8 format/render gate
Do not promote quickstart, legacy, or mechanically merged micro-unit output into a formal filename.
Prepare
- Build the evidence-aware outline:
python .claude/skills/paper-formal-writer/scripts/build_paper_outline.py
- Prepare adaptive authoring:
python .claude/skills/paper-formal-writer/scripts/prepare_authoring.py --mode auto
Default delivery is competition: plan at least 14000 effective characters, with a main-paper floor of 8000 and at least 18 rendered pages before appendices. These are adjustable project defaults, not contest rules. Verify the actual contest's page cap and counting rules before writing. auto therefore selects section; a short report needs --delivery short-report --scope-reason "user-requested scope". Custom floors use --min-pages / --min-body-chars with a reason; never lower them merely to turn a failed check green.
Read references/competition-scope.md when preparing scope or repairing a short manuscript. Several authoring turns may produce one coherent chapter; preserve evidence and notation between turns instead of compressing the paper into one response.
The authoritative S7 contracts are:
paper_output/plan/writing_plan.jsonpaper_output/context/authoring_state.jsonpaper_output/qa/draft_audit.jsonpaper_output/qa/repair_queue.json
What ships with it
15 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.
- agents/openai.yaml 335 B
- references/competition-scope.md 2.1 KB
- references/cumcm-paper-standard.md 3.3 KB
- references/figure-table-writing-rules.md 1.2 KB
- references/formal-paper-template.md 1.7 KB
- references/section-expansion-rules.md 1.3 KB
- scripts/assemble_sections.py 3.2 KB runs code
- scripts/authoring_contracts.py 15 KB runs code
- scripts/build_paper_outline.py 14 KB runs code
- scripts/check_paper_format.py 36 KB runs code
- scripts/format_formal_docx.py 29 KB runs code
- scripts/formula_omml.py 9.6 KB runs code
- scripts/paper_scope.py 4.3 KB runs code
- scripts/prepare_authoring.py 6.8 KB runs code
- scripts/validate_authoring.py 16 KB runs code
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.
- 3d ago Changed · +2 lines 578d3cfe5d69
- 6d ago Changed · +47 lines · -17 tokens per session c1cdb83abdf5
- 10d ago First seen · 105 lines · 69 tokens per session scan A 911fc160172e
paper-formal-writer is a skill published in the GitHub repository yushui2022/MathModel-Skill (396 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 1,434 once invoked, about $0.0003 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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