raktim-mondol/dsh-researchcraft/academic-harness

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Write, revise, and verify academic LaTeX (literature reviews, journal/conference papers, grants, theses, rebuttals) with Academic Harness on DeepSeek Harness. Use when the workspace has ah.yaml, or the user asks to start, audit, plan, or fix a paper/grant/thesis in LaTeX. Routes to ah-write-unit, ah-plan-section, ah-fix-findings, ah-audit-section, ah-revise-from-review.

Install

npx vskill@latest install raktim-mondol/dsh-researchcraft/academic-harness

SKILL.md

Academic Harness on DeepSeek Harness

The engine is the substitute oracle for academic writing. DeepSeek Harness is the chat. Pi is not required.

Inactive outside a directory tree with ah.yaml. To start: ah_init (new) or ah_migrate (existing LaTeX tree, dry-run first).

What DSH already does in this session

  • Injects the paper-state card (conventions, facts, terms, scope, thesis, briefs, blockers)
  • Blocks writes to sources/, facts, ledger, briefs, claim records, reviews, plans, and the outline
  • Blocks dropping a %% @unit anchor while rewriting a paragraph
  • After each write/edit/bash that changes prose, appends the findings that edit introduced
  • Loops until those findings are gone, then stops or hands off to the author

You never close a finding. Only a later check that no longer fires marks it fixed. A waiver is the author's.

Route

User askLoad
Draft or rewrite a paragraph / table / figureah-write-unit
Add a section or argument not yet in the outlineah-plan-section
Fix audit findingsah-fix-findings
Review / audit a section without editingah-audit-section
Address reviewer or supervisor commentsah-revise-from-review

Non-LaTeX paper work

Outside an ah.yaml project, the Supervisor-Skills suite covers the paper lifecycle: deep-research, idea-evaluator, tech-paper-template or benchmark-paper-template, intro-drafter/paper-writer/paper-polish, figure-designer/drawio-reconstruction, pre-submission-reviewer, and rebuttal-guidance. Do not use this engine as a generic paper template when no ah.yaml exists; its tools return "not a project".

Tools

Native ah_* tools (not MCP, not Pi). Prefer them over shelling out to ah. Do not pip install academic-harness and do not install it into DSH; the engine is vendored inside this plugin (vendor/academic-harness).

NeedTool
Coverage / "are we done"ah_inventory, then ah_check / ah_audit
Anchors, facts macrosah_units, ah_fact build
Evidenceah_source add/list, ah_source_search
Draftah_plan → ah_brief_new → ah_pack → edit
Numbersah_fact, ah_bind, ah_sweep, ah_fact_propose
Reviewsah_review import, ah_review_set, ah_review_respond, ah_snapshot
Provenance / AI-useah_provenance, ah_disclosure
Profiles / overlayah_profile, ah_init, ah_migrate, ah_config, ah_catalogue

Author-only (human must have asked this message; DSH confirms): waive, accept/reject a fact, approve a brief or plan, verify a claim, decline a review item, fill provenance, approve a disclosure. You cannot do those. Call ah_decision_request and stop, or ah_author after they asked.

Numbers from data: \fact{id}. Cite only registered sources. Do not invent citations, numbers, or quotes. Done means inventory coverage is complete and this turn introduced no open blocker or major.

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