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 Boom5426/Nature-Paper-Skills --skill anti-defensive-writinggit clone --depth 1 https://github.com/Boom5426/Nature-Paper-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/boom5426/nature-paper-skills/anti-defensive-writing)<a href="https://agentmods.dev/skills/boom5426/nature-paper-skills/anti-defensive-writing"><img src="https://agentmods.dev/badge/skills/boom5426/nature-paper-skills/anti-defensive-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/skills/boom5426/nature-paper-skills/anti-defensive-writing"><img src="https://agentmods.dev/badge/skills/boom5426/nature-paper-skills/anti-defensive-writing.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 | $0.00249 | $0.07583 |
| Opus 5.5 | $0.00100 | $0.03033 |
| Sonnet 5.5 | $0.00050 | $0.01517 |
| Haiku 4.5 | $0.00025 | $0.00758 |
Grade A, and why
anti-defensive-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 2d 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 — 457 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anti-Defensive Writing
A research paper argues from evidence. It does not keep an audit log of its own project, argue with an imagined reviewer, criticize itself, document its repository, or make promises. This skill removes those voices from every part of the paper, Supplementary Information included, and keeps everything a reader needs to understand, trust and reproduce the work.
The paper should feel controlled because the design is clear, not because the authors keep saying that it is controlled.
Read What stays before deleting anything, and Local integration for where this skill sits in
the paper-workflow chain.
Rule zero: do not add it
Most audit and defensive text is added during editing, not during drafting: an edit fixes an ambiguity, answers a co-author or reviewer comment, or adds provenance "to be safe". While editing any text:
- Add no qualifier, disclaimer or provenance note unless the sentence would otherwise be literally false.
- Fix an ambiguity with a precise definition, not with a caveat. "Labels A to D denote four dataset regimes" beats a sentence explaining what the labels should not be taken to mean.
- A request for a small change gets a small change: one sentence, not a protective paragraph around it.
- Do not weaken a claim in advance because a control or baseline is not yet in the draft. Whether a claim needs qualifying is decided when that evidence arrives.
The six voices
Each voice has recognition cues and one fix. A cue is a candidate, not a verdict; classify it with the procedure below before changing it.
1. Audit voice: the project's process leaking into the paper
The text reports how the work was run and checked instead of what it found. Typical cues:
- process status: locked, frozen, hashed, scored once, fixed in advance, deterministic assignment, identical comparison arms restated, configuration hashes;
- verification talk: verified rather than assumed, the numerical check that, to verify, sanity check, leakage-safe, implementation verification, the pipeline was confirmed to;
- provenance qualifiers in Results: post hoc, added after the original evaluation, historical locked recomputation, primary arm of the original design;
- internal vocabulary: phase and gate names, PASS or FAIL verdicts, retired metric names (files, folders and code names are the developer voice, below);
- checker language presented as a finding: "no additive cost is resolvable";
- attempt narration, what was tried before the final design and what did not work: "we first tried", "an earlier version", "we also experimented with", "did not help".
What ships with it
3 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.
- 2d ago Changed · +80 lines · +38 tokens per session b5952e29ab67
- 27d ago Changed · +56 lines · +26 tokens per session 0442184893fc
- 1mo ago Changed · -224 tokens per session 82cfa3673e2b
- 1mo ago Changed · +59 lines · +208 tokens per session 5e0fae56209c
- 2mo ago First seen · 262 lines · 201 tokens per session scan A 7557e433d223
anti-defensive-writing is a skill published in the GitHub repository Boom5426/Nature-Paper-Skills (657 stars, last pushed 3d ago), licensed MIT. It adds 249 tokens to every session and 7,583 once invoked, about $0.0010 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 2026-09-05.
anti-defensive-writing compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| anti-defensive-writingBoom5426/Nature-Paper-Skills | Skill | 657 | 3d ago | MIT | A | 249 | Claude Code, Codex |
| inno-paper-writingLigphiDonk/Oh-my--paper | Skill | 753 | 6mo ago | MIT | A | 28 | Claude Code, Codex |
| ml-paper-writingdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 65 | Claude Code, Codex |
| review-responseGalaxy-Dawn/claude-scholar | Skill | 6.0k | 18d ago | MIT | A | 51 | Claude Code |
| anti-defensive-writing-enAdkid-Zephyr/anti-defensive-writing-Skill | Skill | 5.3k | 10d ago | MIT | A | 138 | Claude Code, Codex |
| anti-defensive-writingAdkid-Zephyr/anti-defensive-writing-Skill | Skill | 5.3k | 10d ago | MIT | A | 160 | Claude Code, Codex |
| paper2poster-posterPaper2Poster/Paper2Poster | Skill | 4.0k | 14d ago | MIT | A | 80 | Codex |