Agentic Research Directory

Agent skill

The Rookery: Storm Research skill

The Rookery documents a portable Storm Research skill for source-backed briefings using independent perspectives, explicit disagreements, and source-quality audits. It is an independent workflow inspired by STORM, not a distribution of Stanford STORM software.

Workflow level n/a Source: Repository-documented Outcome: Not empirically evaluated here

Research applicability

Useful as an AI-assisted evidence-review protocol for researchers comparing competing accounts across disciplines. Suitability for a systematic review or any particular field remains an editorial suggestion, not demonstrated coverage or methodological validation.

Getting started

Editorial, untested suggestion: read the Storm Research skill and its linked references, define a small public-source question, then use the README installation guidance for only the needed skill. Manually inspect every source claim and disclosed gap before reusing a briefing.

Maintenance

Dated documentation snapshot only; continued maintenance and availability not independently established.

License

README and skill declare MIT; license file and dependency terms not independently audited.

Workflow & human oversight

No fixed automation level is assigned. The documented agent workflow proposes and synthesizes evidence; researchers remain responsible for framing, source rights, disciplinary judgment and final use.

Workflow level is not an evidence score; higher is not better evidence.

Approach

The skill specifies a frozen question and sourced baseline, isolated lens executors, contradiction mapping, claim-level source audits, and a separate fidelity check. Unavailable source access or unverifiable isolation must be disclosed as degraded research, not hidden.

Limitations

README and Storm Research SKILL.md only; linked lens charter, analysis-methods and fidelity-check reference files were not reviewed. No installation, research run or behavioral evaluation was performed. The README says other skill packages await revalidation after an evaluation reset. Multi-agent separation depends on the host harness and does not establish independent scientific evidence. No accuracy or time-saving outcome is established.

Reproducibility

Exact retrieved bodies, source URLs, UTC retrieval timestamps and SHA-256 envelopes saved. No upstream code or claimed outcomes reproduced. HEAD was mutable; no commit version pinned.

Adoption requirements

A compatible Agent Skills host and permitted source access are needed; the documented isolated-lens mode requires verifiably clean executor contexts. Audit package instructions, permissions and model-provider data handling before use; do not upload confidential research material without authorization.

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