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agora: Skill for Claude Code

.claude/skills/article-factory/SKILL.md

article-factory is a skill for Claude Code from DanceNitra/agora. It costs 203 tokens per session (2,650 once invoked), scanned A, original, MIT.

A content-production procedure that turns a research finding into an Agora article in English and Slovak, then creates related Reddit, podcast, and social-media versions.

In plain words
What is it for?
Use it to research, fact-check, publish, translate, and repurpose an article for Reddit, a podcast, X, and LinkedIn.
Why use it?
It keeps the published article as the source for its derivatives and adds checks for claims, links, names, and sitemap registration. It also makes the required research and review steps explicit.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

This is DanceNitra/agora's own configuration. It tells Claude Code how to work on agora 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 agora configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python tools/humanizer_receipt.py record agora_output/derivatives/<slug>/verified_context.md --skill verify --in-session.

not rated 3repo 7d ago A scan 203 tokens original MIT
View source ↗ DanceNitra/agora dancenitra.github.io
Reuse

Borrowing it

Nothing to install: this file belongs to DanceNitra/agora. 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/DanceNitra/agora/main/.claude/skills/article-factory/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/DanceNitra/agora

Made for: Claude Code.

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-factory

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/dancenitra/agora/article-factory"><img src="https://agentmods.dev/badge/skills/dancenitra/agora/article-factory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 203 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,650 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 original 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 $0.00203 $0.02650
Opus 5.5 $0.00081 $0.01060
Sonnet 5.5 $0.00041 $0.00530
Haiku 4.5 $0.00020 $0.00265

Measured 1mo ago against content hash d205f866f414, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

article-factory 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.

.claude/skills/article-factory/SKILL.md · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

article-factory: finding -> deep research -> article (EN, SK) -> Reddit -> podcast -> promo

The order is the owner's (2026-09-17): the NotebookLM deep research runs first, so the article that goes under Agora is the best version we can write. Then the article is gated and published in English and Slovak, the way every Agora post is, and registered in the sitemap. Only then do the derivatives exist: the Reddit version, the English podcast episode, and the episode's promo.

Every derivative repeats only what the published article carries. tools/derive_post.py check enforces that with numbers, links and names. Material from the deep research enters the article in step 3, through verify-claims, and nowhere else.

Each numbered step below is its own step. A step written as a clause inside another step is the shape of thing that gets skipped (audit-post, 2026-07-01, twice in one day). Do not merge them.

Cost notice, before steps 1, 3, 7a, 7b, 7c: tell the owner what runs, how many units and the total (storm about 470k tokens, stress-claim about 420k, verify-claims per claim count), and wait for his go-ahead. Owner rule of 2026-08-21. NotebookLM steps cost his plan quota, not tokens; nlm usage shows what is left.

0. Select and score the topic

Inputs: the Canon, the Crucible ledger, Lab receipts, the Flywheel's open questions, the inbox, GET /brain/board (priorities). Three questions, each yes or no:

  1. Is there a measured number, a failed replication, or a result that contradicts a common belief?
  2. Does a stranger with no context understand the first sentence?
  3. Is it on the board and not textbook? Three yes is a candidate. Two or fewer is not an article. Write the score and the reason into agora_output/distribution/content_ledger.jsonl (one JSON line: slug, date, score, reason).

For an EXISTING post being re-issued, the score still runs: an old post can have fallen off the board or become textbook since it shipped.

1. Skeptic first, before any draft

Read the full file on GitHub · 201 lines

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 · 201 lines · 203 tokens per session scan A d205f866f414

Subscribe to this mod's changes

article-factory is a skill published in the GitHub repository DanceNitra/agora (3 stars, last pushed 7d ago), licensed MIT. It adds 203 tokens to every session and 2,650 once invoked, about $0.0008 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 2026-09-18.

EvaluationResearchWriting and docsagent-memoryagentic-aiai-agentsbenchmarkcalibration
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