generate

A tool for producing a source-backed briefing about recent AI-industry developments. It gathers information from official publications, RSS or Atom feeds, GitHub releases, reputable reporting, and URLs supplied by the user, then presents it as markdown or optionally as HTML or presentation files.

In plain words
What is it for?
Use it for AI news roundups, meeting preparation, industry updates, and optional rendered briefing documents or slide decks.
Why use it?
AI news changes quickly and can be duplicated or poorly sourced. This collects, checks, removes duplicates, ranks, and organizes developments while following defined source rules.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/melodic-software/claude-code-plugins/generate
Any agent
npx skills add melodic-software/claude-code-plugins --skill generate
Clone the repo
git clone --depth 1 https://github.com/melodic-software/claude-code-plugins

Made for: Claude Code, Codex.

Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,825 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00072 $0.01825
Opus 5 $0.00036 $0.00912
Sonnet 5 $0.00014 $0.00365
Haiku 4.5 $0.00007 $0.00183

Measured 2d ago against content hash d8c190efda0e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

generate 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.

The scan reads SKILL.md. This mod also ships 29 executable files (output/build/assemble-html.js, output/build/brand.js, output/build/build-client-js.js, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/ai-briefing/skills/generate/SKILL.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Variables

Arguments: $ARGUMENTS Configured active profile: ${user_config.active_profile}

Purpose

Collect, deduplicate, rank, and present current AI-industry developments without depending on organization-specific configuration. Markdown is the default output. HTML and PPTX are explicit, optional outputs backed by the bundled deterministic build pipeline.

Source and access policy

Use only interfaces that authorize automated access:

  1. Official vendor blogs, documentation, changelogs, and release notes.
  2. GitHub release pages and repository APIs.
  3. RSS/Atom feeds listed by the selected profile.
  4. Reputable secondary reporting, corroborated by a primary source when practical.
  5. User-supplied public URLs and context.

Automated X/Twitter collection is disabled. Do not crawl, scrape, scroll, navigate, fetch, or extract X pages through browser automation, DOM scripts, unofficial endpoints, or Grok. Do not refresh following graphs or profile metadata. X's current terms expressly prohibit crawling or scraping without prior written consent: https://x.com/en/tos.

If the user supplies an X URL, preserve it as user-provided citation metadata but do not programmatically retrieve it. Ask for the relevant text when it is necessary, and seek a non-X primary source for corroboration. This plugin does not configure a paid X API.

Playwright is allowed only for deterministic rendering and inspection of locally generated HTML/PDF artifacts. It is not a collection provider.

Arguments

Flag Default Effect
--profile <name> Configured active_profile, then default Select a named profile for this invocation.
--since <timeframe> 14d Accept 1d, 3d, 7d, 14d, 30d, or an ISO date.
--providers <list> All Limit collection to comma-separated provider buckets.
--extras / --no-extras On Include or omit robotics, science, and novel applications.
--format <type> markdown Emit markdown, HTML, or PPTX. Non-markdown formats require prior /ai-briefing:setup apply install-build-deps.
--yes / -y Off Skip the pre-execution confirmation gate. Required for headless runs.

Read the full file on GitHub · 154 lines

Files

What ships with it

51 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.

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. 2d ago First seen · 154 lines · 72 tokens per session scan A d8c190efda0e

Subscribe to this mod's changes

generate is a skill published in the GitHub repository melodic-software/claude-code-plugins (12 stars, last pushed 2d ago), licensed MIT. It adds 72 tokens to every session and 1,825 once invoked, about $0.0004 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 2026-08-30.

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