dsh-deep-research

Kestrel / dsh-deep-research

JavaScript evidence-processing tools for source-text anchoring, document similarity/lineage, claim assessment, and storage. The implementation is in lib/; the command-line entry point is bin/kestrel.mjs.

Verified local behavior

On the audited branch, 265 Node tests pass. node demo/run.mjs executes the real library against the bundled fictional corpus: it checks source-text quotations, groups copied documents, surfaces the fixture contradiction, and recalls stored findings. These are offline fixture results; the corpus is not real-world business evidence.

The audit reproduced a citation defect: fuzzy matching admitted a long quotation whose amount was changed from 42 to 91. Quote matching now defaults to strict mode, and both citation-admission paths disable fuzzy matching. Regression tests exercise that exact counterexample. Explicit approximate search is still available, but it cannot enable fuzzy citation admission.

Run

Requires Node 20 or later. The local test/demo path has no required third-party packages or API keys.

node --test
node demo/run.mjs
node bin/kestrel.mjs --help

Standalone URL-fetching commands and DeepSeek Harness/model integration are implemented in the source but were not validated against live providers in this audit. Running URL commands makes network requests; installing into a Harness profile changes local configuration.

Limits

Finding a quote in a document does not prove the claim is true. Normalized matching ignores case and punctuation; inspect the returned source span. Similarity-based lineage is a heuristic, not proof of source independence. Model judgments, live search, fetch resilience and real-world research accuracy remain unverified here. No fabricated-quote-proof, accuracy, latency, or production-scale guarantee is claimed.