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 outlinegit 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/outline)<a href="https://agentmods.dev/skills/fradser/dotclaude/outline"><img src="https://agentmods.dev/badge/skills/fradser/dotclaude/outline/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/outline"><img src="https://agentmods.dev/badge/skills/fradser/dotclaude/outline.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 | $0.00064 | $0.00501 |
| Opus 5.5 | $0.00026 | $0.00200 |
| Sonnet 5.5 | $0.00013 | $0.00100 |
| Haiku 4.5 | $0.00006 | $0.00050 |
Grade A, and why
storm-outline 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.
What it actually says
/storm:outline
Phase 2 of the STORM pipeline. Drafts an outline from the model's parametric knowledge, then refines it using the research conversations to reflect what was actually learned.
CRITICAL: Prerequisites
- Load
storm-enginevia the Skill tool. research/sources.jsonMUST exist (phase 1 complete). If absent, stop and instruct the user to run/storm:researchfirst. Do not proceed with a parametric-only outline as the final artifact.
Completion Contract
This phase is complete iff outline.md exists and has ≥2 sections. If --force is not set and it exists, skip and exit early.
Procedure
- Resolve output dir.
- Read
research/conversations.jsonlandresearch/sources.json. Concatenate the conversation histories as the refinement input. - Draft — generate
outline-draft.mdfrom parametric knowledge alone. This is the model's prior structure for the topic. Use markdown## Sectionheadings. - Refine — reorganize the draft using the conversation history: merge redundant sections, add sections for material the research surfaced that the draft missed, drop sections the research did not support. Write the result to
outline.md. - Mark "Introduction", "Conclusion", "Summary" sections as placeholders if present — they are filled in the
polishphase, not here. - Verify
outline.mdhas ≥2 sections. Updaterun-config.json:phases.outline = "completed", section count.
Output
Report: number of draft sections, number of refined sections, sections added/removed during refinement, and the path to outline.md.
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 · 34 lines · 64 tokens per session scan A 2fd9f16a91a5
storm-outline is a skill published in the GitHub repository FradSer/dotclaude (593 stars, last pushed 7d ago), licensed MIT. It adds 64 tokens to every session and 501 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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