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 Haohaha-11/Paper-Writing --skill appendix-writergit clone --depth 1 https://github.com/Haohaha-11/Paper-WritingWrote 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/haohaha-11/paper-writing/appendix-writer)<a href="https://agentmods.dev/skills/haohaha-11/paper-writing/appendix-writer"><img src="https://agentmods.dev/badge/skills/haohaha-11/paper-writing/appendix-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/haohaha-11/paper-writing/appendix-writer"><img src="https://agentmods.dev/badge/skills/haohaha-11/paper-writing/appendix-writer.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 | $0.00000 | $0.00559 |
| Opus 5 | $0.00000 | $0.00280 |
| Sonnet 5 | $0.00000 | $0.00112 |
| Haiku 4.5 | $0.00000 | $0.00056 |
Grade A, and why
appendix-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 8d 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.
Appendix Writer
Purpose
Organize appendix material so it supports the main paper without hiding essential claims or evidence from the main text.
When To Use
- Preparing supplementary proofs, implementation details, extended tables, prompts, datasets, or additional figures.
- Moving content out of the main paper due to page limits.
- Checking whether the main text improperly depends on appendix-only evidence.
Inputs
Required:
- target venue appendix/supplement rules;
- main paper claim-evidence matrix;
- candidate appendix materials;
- main text references to appendix.
Optional:
- supplementary file policy;
- anonymous-review constraints;
- camera-ready changes.
Procedure
- Classify appendix material: proof, implementation, extra experiment, dataset detail, failure case, prompt, ethics, or supplement.
- Check whether any main claim relies only on appendix evidence.
- Add clear cross-references from main text.
- Keep appendix sections searchable and self-contained.
- Preserve anonymity and venue supplement rules.
- Move non-essential detail to appendix; keep decisive evidence in main text.
Rubric
| Dimension | Strong | Weak |
|---|---|---|
| Main-text independence | Core claims supported in main paper | Main proof hidden in appendix |
| Organization | Clear appendix sections | Dump of leftovers |
| Referencing | Main text points to appendix | Appendix unreferenced |
| Compliance | Follows venue supplement rules | Anonymous leaks or wrong file type |
| Reproducibility | Useful implementation detail | Missing key settings |
Venue Adaptation
- ICLR/NeurIPS/ICML: appendices are common for proofs, extended experiments, and reproducibility details.
- CVPR/ECCV: supplement may include additional visual examples, videos, or implementation details; anonymity still matters.
- AAAI: verify author-kit and supplement rules before relying on appendix.
- TMI: supplementary file types are constrained; challenge or conference-extension materials need careful handling.
- arXiv: appendix can be public, but ensure source package compiles cleanly.
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.
- 8d ago First seen · 92 lines · 0 tokens per session scan A 1e88eff79f4e
appendix-writer is a skill published in the GitHub repository Haohaha-11/Paper-Writing (3 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 559 tokens. 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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