What you can do with DSH Industry Research

4 use cases

• Map an industry chain with sourced values and gap list

  Build an upstream, midstream, and downstream chain map where every number carries a source and missing data is listed.

  • DSH Industry Research
  • Research
  • Intermediate
  View prompt

  Using the dsh-industry-research plugin in DeepSeek Harness, call industry_map for the industry <industry-name> with a chain of nodes and edges. Expect a saved chain.json and a gap list. Verify that every metric with a value has a sourceRef, and that the tool reports the gaps rather than filling them.

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• Track policy and news for an industry in one timeline

  Search topics through the web tool and keep a deduplicated, dated timeline of public sources for an industry.

  • DSH Industry Research
  • Research
  • Intermediate
  View prompt

  With the dsh-industry-research plugin in DeepSeek Harness, call industry_track for the industry <industry-name> with a list of topics and a since date. Expect timeline.jsonl entries and a delta summary. Verify that each entry has an evidence category and that failed snapshots appear as citation-only entries with a note.

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• Build company research cards from your own data files

  Turn Markdown, text, CSV, TSV, or JSON files in the workspace into company cards with explicit gaps.

  • DSH Industry Research
  • Research
  • Intermediate
  View prompt

  Using the dsh-industry-research plugin in DeepSeek Harness, call company_scan for the companies <company-list> with the listed data files. Expect company cards and a list of rejected files with reasons. Verify that each metric has source and asOf, and that unsupported items appear as gaps.

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• Assemble an auditable industry report with verified evidence

  Combine chain, timeline, and company evidence into a report where each claim points to registered evidence.

  • DSH Industry Research
  • Research
  • Advanced
  View prompt

  With the dsh-industry-research plugin in DeepSeek Harness, call industry_report for the industry <industry-name>, using the existing chain, timeline, and company artifacts. Expect report.md and manifest.json in the reports folder. Verify that every claim's evidence IDs exist and that the delivery contract passed with no placeholders.

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How to use DSH Industry Research

1. Check you have what it needs: DeepSeek Harness installed, with a profile to add plugins to (README tests against dsh-v0.2.1-alpha.1); Node.js and the dsh command available in the terminal; A session workspace where the artifact folder (industry-research) can be written.
2. Open PerryLink/dsh-industry-research on GitHub and read the README and license.
3. dsh plugin --profile demo add dsh-industry-research
4. dsh --profile demo --dump-config | grep dsh-industry-research
5. In a session, load the method: 加载 industry-research-method 技能
6. Call industry_map with a chain of nodes (tier upstream, midstream, downstream) and edges, giving each sourced metric a sourceRef

These steps come from our top use case, Map an industry chain with sourced values and gap list, which also has a copy-paste agent prompt.

DSH Industry Research alternatives · Best AI repos for Research

About this repo

• Who it is forAnalysts, students, and researchers who need sourced industry or company research inside DeepSeek Harness, with gaps declared instead of filled in.
• Why it is hot
• LanguageTypeScript
• Sourcegithub.com/PerryLink/dsh-industry-research · Back to Hot repos

Requirements

• DeepSeek Harness installed, with a profile to add plugins to (README tests against dsh-v0.2.1-alpha.1)
• Node.js and the dsh command available in the terminal
• A session workspace where the artifact folder (industry-research) can be written
• Optional: ctx.web mounted and offline left false, needed for industry_track and web-assisted runs

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