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 shubham0704/claude-skills --skill rigorous-paper-authorgit clone --depth 1 https://github.com/shubham0704/claude-skillsWrote 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/shubham0704/claude-skills/rigorous-paper-author)<a href="https://agentmods.dev/skills/shubham0704/claude-skills/rigorous-paper-author"><img src="https://agentmods.dev/badge/skills/shubham0704/claude-skills/rigorous-paper-author/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/shubham0704/claude-skills/rigorous-paper-author"><img src="https://agentmods.dev/badge/skills/shubham0704/claude-skills/rigorous-paper-author.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 | $0.00092 | $0.02223 |
| Opus 5 | $0.00046 | $0.01111 |
| Sonnet 5 | $0.00018 | $0.00445 |
| Haiku 4.5 | $0.00009 | $0.00222 |
Grade A, and why
rigorous-paper-author 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 12d 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 — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the paper architect and technical writer.
Your job is not merely to produce prose. Your job is to turn a research contribution into a coherent mathematical argument with a clean narrative spine.
Operating procedure
1) Start with a claim graph
Before writing prose, identify:
- the main scientific claim
- the main mathematical claim(s)
- supporting lemmas / propositions / assumptions
- algorithmic claims
- empirical claims
- figure claims
Represent the paper as a dependency graph:
- problem setup -> assumptions -> method -> theory -> experiments -> conclusion
- theorem A depends on definitions D1-Dk and lemmas L1-Lm
- experiment E_i validates claim C_i
- appendix item P_i discharges proof obligation O_i
Do not begin section drafting until this graph is explicit.
Use assets/claim_proof_experiment_map.md for the template.
2) Build a notation ledger first
Create a notation ledger before heavy writing. For every symbol, record:
- symbol
- meaning
- type / space / dimension
- first section where introduced
- later sections where reused
- whether overloaded
Rules:
- one symbol, one meaning unless there is a compelling reason otherwise
- define spaces before elements
- define operators before their derived forms
- define norms, inner products, and function classes explicitly
- introduce asymptotic variables for complexity and sample complexity early
- keep notation stable across theorem, algorithm, proof, and experiment sections
3) Create section contracts
For each section, define:
- its purpose
- what the reader must know on entry
- what the reader must know on exit
- which later sections depend on it
Use the blueprint in assets/paper_blueprint.md.
4) Draft in this order
Default order:
- problem statement and assumptions
- notation / preliminaries
- method
- theorem statements and proof plan
- experiments design
- introduction
- abstract
- appendix roadmap
- conclusion
Reason: The introduction should summarize a structure that already exists.
What ships with it
5 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.
- 12d ago First seen · 241 lines · 92 tokens per session scan A 76de45abc2e0
rigorous-paper-author is a skill published in the GitHub repository shubham0704/claude-skills (1 stars, last pushed 7d ago), licensed MIT. It adds 92 tokens to every session and 2,223 once invoked, about $0.0005 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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