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 FradSer/dotclaude --skill generategit clone --depth 1 https://github.com/FradSer/dotclaudeWrote 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/fradser/dotclaude/generate)<a href="https://agentmods.dev/skills/fradser/dotclaude/generate"><img src="https://agentmods.dev/badge/skills/fradser/dotclaude/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/fradser/dotclaude/generate"><img src="https://agentmods.dev/badge/skills/fradser/dotclaude/generate.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00074 | $0.00921 |
| Opus 5.5 | $0.00030 | $0.00368 |
| Sonnet 5.5 | $0.00015 | $0.00184 |
| Haiku 4.5 | $0.00007 | $0.00092 |
Grade A, and why
storm-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 22d 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.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/storm:generate
End-to-end STORM article generation. Runs all four phases in sequence, skipping any phase whose artifact already exists (unless --force).
CRITICAL: Load Engine First
Load the storm-engine skill via the Skill tool before doing anything else. It defines the artifact layout, stage-gating contract, citation hygiene, and retrieval fallback that this orchestration depends on. Do not improvise these.
Arguments
<topic>(required) — the subject of the article.--max-perspective N(default 3) — number of personas to discover.--max-turns N(default 3) — max Q&A turns per persona.--output-dir PATH— explicit output location. Mutually exclusive with--save.--save— persist todocs/storm/<slug>/instead of a temp dir.--docs DIR— ground on local documents in addition to (or, with--docs-only, instead of) the web.--force— re-run all phases even if artifacts exist.--retriever mcp|web|local— override retrieval source (default: mcp with fallback).
Procedure
- Parse arguments; if no topic, invoke
AskUserQuestionto request one. - Derive
<slug>and resolve<output_dir>per the engine contract. Create the directory. - Write
run-config.jsonwith a snapshot of all parameters. Stampstarted_atusingdate -u +%Y-%m-%dT%H:%M:%SZ(the only place a timestamp is generated). - For each phase in order —
research,outline,write,polish: a. Check the phase's completion artifact (per engine contract). b. If complete and not--force: markphases.<name>: "skipped"inrun-config.json, log "Skipping (artifact present)". c. Otherwise: invoke the corresponding/storm:<phase>skill via the Skill tool, passing the resolved output dir and run parameters. After it returns, verify its artifact and markphases.<name>: "completed"(or"failed"with the error). - After all phases, read
article-polished.mdand print a summary: topic, word count, number of sources cited, number of sections, and the absolute path to the final article. - If the run used a temporary directory, surface its absolute path prominently so the user can rescue artifacts.
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.
- 22d ago First seen · 56 lines · 74 tokens per session scan A 76cf3f978b26
storm-generate is a skill published in the GitHub repository FradSer/dotclaude (593 stars, last pushed 7d ago), licensed MIT. It adds 74 tokens to every session and 921 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 2026-09-24.
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