Borrowing it
Nothing to install: this file belongs to Felipe-SO/coarse-ink-claude-code. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Felipe-SO/coarse-ink-claude-code/main/.claude/skills/coarse-editorial/SKILL.mdgit clone --depth 1 https://github.com/Felipe-SO/coarse-ink-claude-codeWrote 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/felipe-so/coarse-ink-claude-code/coarse-editorial)<a href="https://agentmods.dev/skills/felipe-so/coarse-ink-claude-code/coarse-editorial"><img src="https://agentmods.dev/badge/skills/felipe-so/coarse-ink-claude-code/coarse-editorial.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.01336 |
| Opus 5 | $0.00019 | $0.00668 |
| Sonnet 5 | $0.00008 | $0.00267 |
| Haiku 4.5 | $0.00004 | $0.00134 |
Grade A, and why
coarse-editorial scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/coarse-editorial — Editorial Filter and Quote Verification
Usage: /coarse-editorial <slug>
Argument ($ARGUMENTS) is the paper slug (e.g. my-paper). All paths are relative
to the workspace root d:/Dropbox/Research/Coarse Reviewer/.
Path setup
EXTRACTED=.coarse_cache/<slug>_extracted.mdCONTRIBUTION=.coarse_cache/<slug>_contribution.jsonOVERVIEW_JSON=.coarse_cache/<slug>_overview.jsonCOMMENTS_DRAFT=.coarse_cache/<slug>_comments_draft.jsonCOMMENTS_VERIFIED=.coarse_cache/<slug>_comments_verified.json
Re-read CONTRIBUTION, OVERVIEW_JSON, and COMMENTS_DRAFT before starting.
Step 12 — Editorial Filter
Apply the final editorial pass to the verified comments.
You are an expert peer reviewer performing a final editorial pass. Every comment that survives must be concrete, verifiable, and worth the reader's time.
STEP 1: REMOVE low-value comments
Remove a comment if ANY of these apply:
- It merely restates an Overview Issue without adding a specific equation, quote, or calculation that goes beyond what the overview already says.
- Its core point is already covered by an Overview Issue, even if the comment adds a section-specific quote.
- It requests "additional analysis," "further experiments," or "more discussion" without pointing to a specific error in the existing text AND without identifying a specific structural gap. Keep a comment that identifies a concrete missing component (a worked example, a simulation, an estimation discussion) if it is specific.
- It could be copy-pasted to any paper in this field (generic methodological advice).
- It addresses formatting, notation preferences, LaTeX artifacts, typos, grammar.
- The feedback says "this is unclear" without explaining what is specifically wrong.
- It flags an OCR artifact as an author error.
- It asserts a specific numerical value without showing a derivation.
- It claims a table entry is wrong but the quote does not include the complete table row(s) needed to verify.
- It claims a proof step requires a condition but does not identify the specific line in the derivation where that condition is invoked.
- It claims two mathematical operations are equivalent without verifying via formal definitions or a concrete example.
- It expresses skepticism about a cited result without engaging with the cited reference — unfamiliarity is not evidence.
- It treats the paper's extension as a deficiency.
- It treats an explicitly acknowledged limitation as if the authors are unaware.
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 · 141 lines · 39 tokens per session scan A 18dcba2170d5
coarse-editorial is a skill published in the GitHub repository Felipe-SO/coarse-ink-claude-code (2 stars, last pushed 4mo ago), licensed MIT. It adds 39 tokens to every session and 1,336 once invoked, about $0.0002 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.
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…
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…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…