Agent skill

Academic Research Pipeline

by Imbad0202 in Imbad0202/academic-research-skills

Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.

Custom licenceAuto-check passedResearch & Science

Install Academic Research Pipeline

skills CLI
$ npx skills add Imbad0202/academic-research-skills --skill academic-pipeline -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Imbad0202/academic-research-skills academic-pipeline --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Imbad0202/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/academic-pipeline .claude/skills/academic-pipeline && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
academic-pipeline
GitHub stars
51k
Token cost
~15k tokens
SKILL.md length
6,116 words
Files
31 (incl. references)
Skills in repo
5
Repo updated
First seen
Licence
Custom licence

At a glance

Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.

  • Works in 4 steps: INTAKE & DETECTION → MODE RECOMMENDATION → STAGE EXECUTION → …
  • Taking a research idea all the way to a reviewed, revised manuscript
  • SKILL.md covers Quick Start, Pasted and retrieved text is…, Trigger Conditions and Pipeline Stages (10 Stages), plus 10 more sections
  • Calls python3

What it does

This is a lightweight orchestrator rather than a worker. It detects which stage a project is at, recommends a mode, dispatches the deep-research, academic-paper and academic-paper-reviewer skills, manages the handoffs between stages and tracks state. The flow runs research, writing, an integrity check, review, revision, re-review, a second revision, a final integrity check and finalization.

Integrity checks are required at set points and limited to what they can cover, review happens in two stages, and each stage leaves auditable quality-assurance artifacts. Routing is explicit: slash commands starting with `/ars-` or clear phrases like reviewing a paper go straight to the matching skill, and a `[direct-mode]` prefix on the first message skips cross-phase clarification. Supporting files include agents for orchestration, state tracking, integrity verification and claim-to-reference audits, plus worked examples of a full run, a mid-pipeline start and recovery from an integrity failure.

When your agent uses it

  • Taking a research idea all the way to a reviewed, revised manuscript
  • Starting mid-way with an existing draft that needs review and revision
  • Running integrity checks and a second review round before submission
  • Recovering after an integrity check flags problems in a draft

Example prompts

  • “Run the full paper pipeline on my study of remote work and team productivity, starting from the research question.”
  • “I have a finished draft in ./paper/draft.docx. Pick up the pipeline at the review stage.”
  • “The integrity check flagged mismatched citations. Show me how to recover and re-run it.”

Requirements

  • The deep-research, academic-paper and academic-paper-reviewer skills

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. INTAKE & DETECTION
  2. MODE RECOMMENDATION
  3. STAGE EXECUTION
  4. TRANSITION

What it can do on your machine

Read from SKILL.md and the folder at commit ebc21bf. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Academic Research Pipeline loads about 15k tokens when it runs, and up to ~67k if it reads all its reference files. Until then it costs about 200 tokens; SKILL.md has 6,116 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~200
When it runs · the whole SKILL.md, loaded when a task matches
~15k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~67k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 6,116 words (~14,688 tokens).

“A lightweight orchestrator that manages the complete academic pipeline from research exploration to final manuscript. It does not perform substantive work — it only detects stages, recommends modes, dispatches skills, manages transitions, and tracks state.”

— opening of SKILL.md by Imbad0202, Custom licence
name
academic-pipeline
metadata.version
3.23.0
metadata.last_updated
2026-10-03
metadata.depends_on
deep-research, academic-paper, academic-paper-reviewer
metadata.status
active
metadata.data_access_level
raw
metadata.task_type
open-ended
metadata.related_skills
deep-research, academic-paper, academic-paper-reviewer

Read the full SKILL.md on GitHub

Files

SKILL.md and 30 other files (references) in academic-pipeline of Imbad0202/academic-research-skills.

  • SKILL.md
  • agents/claim_ref_alignment_audit_agent.md
  • agents/collaboration_depth_agent.md
  • agents/integrity_verification_agent.md
  • agents/pipeline_orchestrator_agent.md
  • agents/state_tracker_agent.md
  • examples/full_pipeline_example.md
  • examples/integrity_failure_recovery.md
  • examples/mid_entry_example.md
  • references/adapters/.gitkeep
  • references/adapters/overview.md
  • references/ai_research_failure_modes.md
  • references/changelog.md
  • references/claim_audit_calibration_protocol.md
  • references/claim_verification_protocol.md
  • references/external_review_protocol.md
  • references/integrity_review_protocol.md
  • … and 14 more

Open the folder on GitHubat commit ebc21bf

Compare with similar skills

Academic Research Pipeline next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Academic Research Pipeline compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Academic Research Pipeline this skillImbad0202/academic-research-skills51k—~15kAutomated safety check: PassCustom licence
Academic Research Suite for CodexImbad0202/academic-research-skills-codex12k—~12kAutomated safety check: PassCustom licence
Social Science Paper Writingfakerqwq/social-science-paper-writing-skill382—~7kAutomated safety check: PassNone
Scholar Evaluationjimmc414/Kosmos5951 repos~2.5kAutomated safety check: PassNone
ResearchClaw Research Pipelineaiming-lab/AutoResearchClaw15k—~1kAutomated safety check: PassMIT
Generate ReportGRIND-Lab-Core/night_owl_research_agent106—~2.2kAutomated safety check: NotesNone

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    Imbad0202/academic-research-skills-codex

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    12k GitHub stars~12k tokensUpdated 7 days ago
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  • Social Science Paper Writing

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    Helps draft, diagnose, review and revise social science papers, from topic and research question to literature review, citation risks and pre-submission checks.

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  • Scholar Evaluation

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    Systematic framework for evaluating scholarly and research work based on the ScholarEval methodology.

    595 GitHub starsUsed in 1 repo~2.5k tokens
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  • ResearchClaw Research Pipeline

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    Runs the ResearchClaw 23-stage autonomous pipeline from a topic, config file and output directory, from literature review through experiments to a written and reviewed paper.

    15k GitHub stars~1k tokensUpdated 1 mo ago
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  • Academic Paper Writing Pipeline

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  • Academic Paper Reviewer

    Imbad0202/academic-research-skills

    Simulates a journal peer review of a manuscript with a five-seat reviewer panel, an editorial synthesizer and several review modes.

    51k GitHub stars~11k tokensUpdated yesterday
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  • Deep Research Agent Team

    Imbad0202/academic-research-skills

    Runs a 13-agent pipeline for rigorous academic research, from forming the question through systematic search, synthesis, bias checks and an APA 7.0 report.

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Questions about Academic Research Pipeline

What does Academic Research Pipeline do?

Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision. This is a lightweight orchestrator rather than a worker. It detects which stage a project is at, recommends a mode, dispatches the deep-research, academic-paper and academic-paper-reviewer skills, manages the handoffs between stages and tracks state.

When should I use Academic Research Pipeline?

Academic Research Pipeline fits situations like: taking a research idea all the way to a reviewed, revised manuscript; starting mid-way with an existing draft that needs review and revision; running integrity checks and a second review round before submission; recovering after an integrity check flags problems in a draft.

How do I install Academic Research Pipeline in Claude Code?

Run `npx skills add Imbad0202/academic-research-skills --skill academic-pipeline -a claude-code`. Or copy the skill folder (academic-pipeline in Imbad0202/academic-research-skills) into .claude/skills/academic-pipeline in your project. Claude Code loads it when a task matches its description.

How do I install Academic Research Pipeline in Codex?

Run `npx skills add Imbad0202/academic-research-skills --skill academic-pipeline -a codex`. Or copy the skill folder (academic-pipeline in Imbad0202/academic-research-skills) into .agents/skills/academic-pipeline in your project. Codex loads it when a task matches its description.

Can I use Academic Research Pipeline in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Imbad0202/academic-research-skills --skill academic-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/academic-pipeline, .gemini/skills/academic-pipeline, .github/skills/academic-pipeline and .opencode/skills/academic-pipeline in your project.

What does Academic Research Pipeline need to run?

Going by SKILL.md and its folder, Academic Research Pipeline needs the command-line tools its instructions call (python3). Our summary lists: The deep-research, academic-paper and academic-paper-reviewer skills.

Does Academic Research Pipeline access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Academic Research Pipeline safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Academic Research Pipeline use?

Academic Research Pipeline has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Academic Research Pipeline use?

About 15k tokens (SKILL.md is roughly 59k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 52k tokens, read only when the agent opens those files.

What are the alternatives to Academic Research Pipeline?

Skills that share tags, products or a category with Academic Research Pipeline: Academic Research Suite for Codex (Imbad0202/academic-research-skills-codex, 12k stars), Social Science Paper Writing (fakerqwq/social-science-paper-writing-skill, 382 stars), Scholar Evaluation (jimmc414/Kosmos, 595 stars) and ResearchClaw Research Pipeline (aiming-lab/AutoResearchClaw, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Academic Research Pipeline?

Imbad0202 (a GitHub user) maintains it in Imbad0202/academic-research-skills, which has 51,242 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 10, 2026.

Source: Imbad0202/academic-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.