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 josherau/claude-operating-core --skill storm-researchgit clone --depth 1 https://github.com/josherau/claude-operating-coreWrote 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/josherau/claude-operating-core/storm-research)<a href="https://agentmods.dev/skills/josherau/claude-operating-core/storm-research"><img src="https://agentmods.dev/badge/skills/josherau/claude-operating-core/storm-research/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/josherau/claude-operating-core/storm-research"><img src="https://agentmods.dev/badge/skills/josherau/claude-operating-core/storm-research.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 | $0.00084 | $0.00895 |
| Opus 5 | $0.00042 | $0.00447 |
| Sonnet 5 | $0.00017 | $0.00179 |
| Haiku 4.5 | $0.00008 | $0.00089 |
Grade A, and why
storm-research 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 8d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
STORM Research
Overview
Multi-perspective research method adapted from Stanford's STORM (Shao et al., NAACL 2024, github.com/stanford-oval/storm). Core principle: one query returns the majority view; five grounded perspectives plus a contradiction map returns understanding. The STORM paper reports ~25% better organization and ~10% broader coverage from multi-perspective question asking versus its single-pass baseline.
The Iron Rule: every perspective must be grounded in real retrieval. Persona-prompting without sources is five flavors of one model's blind spots hallucinating in harmony. Each perspective's claims come from actual searches (WebSearch, WebFetch, or whatever search MCPs you have wired up) with sources noted. No search → no claim.
The Four Phases
Run all four, in order. Do not stop after Phase 1 or 3.
Phase 1 — Multi-Perspective Scan
Pick 5 perspectives suited to the topic. Default set:
| Perspective | Asks |
|---|---|
| Practitioner | What actually happens day-to-day? What breaks in reality? |
| Skeptic | What's overhyped or wrong? What could fail? |
| Economist | Who profits? What incentives shape the claims? |
| Historian | Has this pattern happened before? How did it end? |
| Academic | What does the actual evidence/data say? |
Swap perspectives when the topic demands (e.g. regulator, customer, competitor, clinician). For each: generate that persona's 2-3 sharpest questions, then search to answer them. Note the source for each finding.
Phase 2 — Contradiction Map
Find where the perspectives fight and why. Rules of evidence:
- All 5 agree → probably true.
- Perspectives conflict → the real understanding lives here; name the disagreement and the reason (incentive, timeframe, evidence quality).
- Nobody addressed it → you found a gap; say so explicitly.
Phase 3 — Synthesis
One briefing: what's established (with sources), the named contradictions, reliability ranking of major claims, and a specific recommended action — not a summary that hedges everything.
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.
- 8d ago First seen · 61 lines · 84 tokens per session scan A a29a8a0dc47f
storm-research is a skill published in the GitHub repository josherau/claude-operating-core (3 stars, last pushed 29d ago), licensed MIT. It adds 84 tokens to every session and 895 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 2026-08-31.
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