reverse_ENV: Skill for Claude Code

.agents/skills/article-archiver/SKILL.md

article-archiver is a skill for Claude Code, Codex from wangligong123/reverse_ENV. It costs 63 tokens per session (180 once invoked), scanned A, original, no licence file.

A document-processing workflow for turning PDFs, HTML files, and Markdown drafts into clean Markdown articles. It also organizes the articles and maintains an index.

In plain words
What is it for?
It is for processing files placed in the article\pending folder, classifying them under article\, updating docs\article-index.md, removing processed inputs, and checking encoding, links, and Git changes.
Why use it?
It removes the repeated manual work of cleaning incoming documents, filing them, updating the index, and checking the results.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is wangligong123/reverse_ENV's own configuration. It tells Claude Code and Codex how to work on reverse_ENV itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything reverse_ENV configures →

Reuse

Borrowing it

Nothing to install: this file belongs to wangligong123/reverse_ENV. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/wangligong123/reverse_ENV/main/.agents/skills/article-archiver/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/wangligong123/reverse_ENV

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for article-archiver

README.md
[![agentmods](https://agentmods.dev/badge/skills/wangligong123/reverse_env/article-archiver/github.svg)](https://agentmods.dev/skills/wangligong123/reverse_env/article-archiver)
Your own site
<a href="https://agentmods.dev/skills/wangligong123/reverse_env/article-archiver"><img src="https://agentmods.dev/badge/skills/wangligong123/reverse_env/article-archiver/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.

agentmods 80×15 button for article-archiver

Your own site · 80×15
<a href="https://agentmods.dev/skills/wangligong123/reverse_env/article-archiver"><img src="https://agentmods.dev/badge/skills/wangligong123/reverse_env/article-archiver.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 180 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.00180
Opus 5.5 $0.00025 $0.00072
Sonnet 5.5 $0.00013 $0.00036
Haiku 4.5 $0.00006 $0.00018

Measured 1mo ago against content hash db094144bec4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

article-archiver 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 1mo 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.

.agents/skills/article-archiver/SKILL.md · 12 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 1mo ago First seen · 12 lines · 63 tokens per session scan A db094144bec4

Subscribe to this mod's changes

article-archiver is a skill published in the GitHub repository wangligong123/reverse_ENV (4 stars, last pushed 3mo ago), with no licence file. It adds 63 tokens to every session and 180 once invoked, about $0.0003 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 2026-08-31.

Related

Other skills, from other repositories

foundry-hosted-agent-validation

Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.

microsoft/agent-framework · 82 tokens

skill-doc-delivery

Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.

nyldn/claude-octopus · 29 tokens

meta-web-to-pdf-briefing

Render a topic into a distributable PDF briefing in three steps: web search → bullet summary → styled PDF. Trigger when the user asks for a PDF briefing on a single topic.

opensquilla/opensquilla · 45 tokens

chat-complex-documents

Chat with and search your complex documents — ask questions, extract tables and fields, and get answers grounded in the source. Connects the hosted Unstructured Transform MCP server to parse, structure, and enrich PDFs, Word/Excel/PowerPoint, images, scanned files, emails, and 60+ other formats into clean, AI-ready…

vellum-ai/vellum-assistant · 90 tokens

pkf-writing

Author, update, convert, validate, persist, and render PKF (.pkf) content through message-inline, Library Asset, or Memory Page carriers. Use for structured reports, knowledge pages, delivery cards, or any .pkf body. NOT for recall, memory-graph placement, or curation decisions — those belong to the memory skill.

Prismer-AI/PrismerCloud · 78 tokens

paper-reader

A reading assistant for computer-vision and deep-learning research papers. It can work with PDF files, arXiv papers, and papers stored in Zotero, a reference-management app.

huangkiki/dailypaper-skills · 157 tokens