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 melodic-software/claude-code-plugins --skill generategit clone --depth 1 https://github.com/melodic-software/claude-code-pluginsWrote 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/melodic-software/claude-code-plugins/generate)<a href="https://agentmods.dev/skills/melodic-software/claude-code-plugins/generate"><img src="https://agentmods.dev/badge/skills/melodic-software/claude-code-plugins/generate/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/melodic-software/claude-code-plugins/generate"><img src="https://agentmods.dev/badge/skills/melodic-software/claude-code-plugins/generate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00072 | $0.03165 |
| Opus 5.5 | $0.00029 | $0.01266 |
| Sonnet 5.5 | $0.00014 | $0.00633 |
| Haiku 4.5 | $0.00007 | $0.00316 |
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 yesterday.
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 — 222 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:
- Official vendor blogs, documentation, changelogs, and release notes.
- GitHub release pages and repository APIs.
- RSS/Atom feeds listed by the selected profile.
- Reputable secondary reporting, corroborated by a primary source when practical.
- 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> |
Each source's bookmark; 14d for a source with none | Accept 1d, 3d, 7d, 14d, 30d, or an ISO date. An explicit value is one fixed window for every source and ignores the bookmarks. |
--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. |
What ships with it
53 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.
- evals/evals.json 11 KB
- evals/fixtures/archive-sample.md 2.1 KB
- evals/fixtures/candidate-items-sample.md 2.4 KB
- evals/fixtures/open-window-sample.md 1.3 KB
- lib/source-bookmarks.sh 3.3 KB runs code
- lib/source-bookmarks.test.sh 2.7 KB runs code
- output/build/assemble-html.js 2.8 KB runs code
- output/build/assets/logo-anthropic.svg 281 B
- output/build/assets/logo-bun.svg 1.7 KB
- output/build/assets/logo-cursor.svg 454 B
- output/build/assets/logo-google.svg 457 B
- output/build/assets/logo-huggingface.svg 3.0 KB
- output/build/assets/logo-langchain.svg 535 B
- output/build/assets/logo-meta.svg 1.3 KB
- output/build/assets/logo-microsoft.svg 206 B
- output/build/assets/logo-nvidia.svg 881 B
- output/build/assets/logo-openai.svg 1.5 KB
- output/build/assets/logo-tesla.svg 541 B
- output/build/assets/logo-visualstudiocode.svg 483 B
- output/build/assets/logo-x.svg 299 B
- output/build/brand.js 1.0 KB runs code
- output/build/build-client-js.js 5.2 KB runs code
- output/build/build-css.js 26 KB runs code
- output/build/build-html.js 184 B runs code
- output/build/build-pdf.js 1.6 KB runs code
- output/build/build-pptx.js 18 KB runs code
- output/build/build-sections.js 10 KB runs code
- output/build/emit-slides-data.js 8.8 KB runs code
- output/build/lib/brand-overlay.js 3.0 KB runs code
- output/build/lib/emit-slides.js 16 KB runs code
- output/build/lib/parse-briefing.js 14 KB runs code
- output/build/lib/paths.js 3.6 KB runs code
- output/build/lib/provider-logos.js 1.2 KB runs code
- output/build/lib/schema.js 4.6 KB runs code
- output/build/lib/url-display.js 1008 B runs code
- output/build/lib/url-policy.js 10 KB runs code
- output/build/package-lock.json 65 KB
- output/build/package.json 763 B
- output/build/run.js 2.5 KB runs code
- output/build/test/brand-overlay.test.js 4.5 KB runs code
- output/build/test/build-sinks.test.js 4.2 KB runs code
- output/build/test/cli-entry.test.js 3.2 KB runs code
- output/build/test/parse-briefing.test.js 2.1 KB runs code
- output/build/test/paths.test.js 2.9 KB runs code
- output/build/test/provider-logos.test.js 669 B runs code
- output/build/test/schema.test.js 1.6 KB runs code
- output/build/test/url-policy.test.js 9.7 KB runs code
- output/build/test/window.test.js 1.9 KB runs code
- output/build/validate.js 17 KB runs code
- reference/audience-defaults.md 3.5 KB
- reference/build-pipeline.md 19 KB
- reference/slide-generation.md 12 KB
- scripts/run-tests.sh 455 B runs code
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.
- yesterday Changed · +54 lines 0f1afe5989a8
- 12d ago Changed 82c5ee657704
- 16d ago Changed · +8 lines e35ac93b4cec
- 20d ago Changed 6bb0c8a926d7
- 26d ago Changed · +2 lines 30240d65032a
- 1mo ago Changed · +2 lines 6d6d168587c4
- 1mo ago Changed · +2 lines 7e363a6d1b16
- 1mo ago First seen · 154 lines · 72 tokens per session scan A d8c190efda0e
generate is a skill published in the GitHub repository melodic-software/claude-code-plugins (26 stars, last pushed today), licensed MIT. It adds 72 tokens to every session and 3,165 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 2026-08-30.
Other skills, from other repositories
parse-extract-input
For text processing: extract numbers, words, structured data from messy text using regex patterns, parsing utilities.
local-llm
Manage local Ollama LLM models for development and testing. Use when: running local models, configuring Ollama, switching between fast/quality models, optimizing VRAM usage, troubleshooting model performance, creating Modelfiles, or integrating local LLMs with applications via OpenAI-compatible API. Triggers: ollama…
dagster-expert
Use for any task involving Dagster, the dg CLI, assets, materialization, components, data tools or data pipelines, matching the situations the Dagster skill handles. This is the deprecated dagster-expert plugin. It carries no Dagster guidance and exists only to tell the user to move to the dagster plugin.
generate-tree-structure
For tree/maze generation: spanning trees, random mazes, graph coverage. Uses frontier-based exploration with configurable traversal order.
catch-expected-errors
For iteration with errors: catch exceptions during exploration, skip invalid cases, continue to next attempt.
find-shortest-path
For pathfinding and search: shortest path, maze solving, game AI, route planning, graph traversal, BFS/DFS, Dijkstra, A problems.