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 agentmods add commands/alberduris/skills/generate-extragit clone --depth 1 https://github.com/alberduris/skillsWrote 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/commands/alberduris/skills/generate-extra)<a href="https://agentmods.dev/commands/alberduris/skills/generate-extra"><img src="https://agentmods.dev/badge/commands/alberduris/skills/generate-extra.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 | $0.00025 | $0.00257 |
| Opus 5 | $0.00013 | $0.00129 |
| Sonnet 5 | $0.00005 | $0.00051 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
generate-extra 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 6d 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.
What it actually says
Load the newspaper-explainer skill. Read ./templates/broadsheet.html and ./references/css-patterns.md to absorb the canonical CSS class vocabulary and palette, but generate a REDUCED structure. Then generate an EXTRA edition for: $@
Extra edition output is ALWAYS opt-in — only generate when this command is invoked or the user explicitly asks for an extra, bulletin, or summary edition. The extra edition is the newspaper equivalent of a wire dispatch: one subject, maximum density, no filler.
The structure is strictly MASTHEAD (with "EXTRA EDITION" in the edition field) + TICKER (single scrolling headline) + ONE LEAD STORY (with drop cap, inset box, pull quote, column text — the full lead treatment) + COLOPHON. No sidebar, no secondary stories, no letters, no dispatch board. Everything that matters fits above the fold. The narrative should be telegraphic — authoritative, compressed, every sentence carrying information.
Gather facts with the same rigor as a full edition. NEVER EVER fabricate. Write to ~/.agent/newspapers/ and open in the browser.
$@
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.
- 6d ago First seen · 13 lines · 25 tokens per session scan A 060c9f9c6b25
generate-extra is a command published in the GitHub repository alberduris/skills (18 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 257 once invoked, about $0.0001 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.