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 revision-editorgit 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/revision-editor)<a href="https://agentmods.dev/skills/haohaha-11/paper-writing/revision-editor"><img src="https://agentmods.dev/badge/skills/haohaha-11/paper-writing/revision-editor/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/revision-editor"><img src="https://agentmods.dev/badge/skills/haohaha-11/paper-writing/revision-editor.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 | $0.00584 |
| Opus 5 | $0.00000 | $0.00292 |
| Sonnet 5 | $0.00000 | $0.00117 |
| Haiku 4.5 | $0.00000 | $0.00058 |
Grade A, and why
revision-editor 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 11d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Revision Editor
Purpose
Turn review reports, claim audits, and writing suggestions into a controlled revision plan with patch-ready changes. This skill is the bridge between critique and actual paper edits.
When To Use
- After
paper-redteam. - After real reviewer comments.
- Before camera-ready revision.
- When multiple skills produce overlapping suggestions.
Inputs
Required:
- target venue;
- current draft or section text;
- review findings;
- claim-evidence matrix;
- list of required changes.
Optional:
- rebuttal plan;
- page budget;
- template or anonymity constraints;
- Git diff from prior version.
Procedure
- Cluster requested changes by section.
- Separate scientific changes from wording changes.
- Identify changes requiring new evidence, citations, or experiments.
- Create a patch plan with file/section targets.
- Preserve LaTeX commands, labels, refs, citations, equations, and figure/table references.
- Avoid conflicting edits across Abstract, Introduction, Results, and Conclusion.
- Produce a revision log for human approval.
Rubric
| Dimension | Strong | Weak |
|---|---|---|
| Traceability | Every edit maps to an issue | Unmotivated rewrite |
| Safety | LaTeX and citations preserved | Broken refs/cites |
| Claim control | Claims stay evidence-backed | Stronger unsupported claims |
| Consistency | Abstract/intro/results align | Sections contradict |
| Review usefulness | Prioritizes decision impact | Cosmetic edits first |
Venue Adaptation
- ICLR/NeurIPS/ICML: preserve limitations/reproducibility and update checklist-sensitive text.
- CVPR/ECCV: preserve figure references, supplement anonymity, and visual evidence.
- AAAI: ensure all text remains author-owned and policy-compliant.
- TMI: preserve page-count-sensitive references, clinical caveats, and privacy/IRB language.
- arXiv: convert anonymous review text to public version where appropriate.
Output Contract
Return:
Revision plan:
Section-by-section changes:
Evidence/citation dependencies:
Patch suggestions:
Consistency checks:
Changes requiring human approval:
Residual risks:
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.
- 11d ago First seen · 98 lines · 0 tokens per session scan A fd03ff43db85
revision-editor 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 584 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…