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Academic Pipeline v2.7 — Full Academic Research Workflow Orchestrator · brycewang-stanford | DecimalAI

researchby brycewang-stanford

Academic Pipeline v2.7 — Full Academic Research Workflow Orchestrator

brycewang-stanford/academic-pipeline

Source brycewang-stanford/Auto-Empirical-Research-Skills ↗License NOASSERTION

Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 9-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates.

SkillScore68Maintained

Automatic

Research pack

Last verified 8/7/2026

What it changes

Passed 15 of 22 test cases with the skill, and 4 of 22 without it.

Without skill18%

With skill68%

Checks it passed that the model alone missed

The pipeline moves to Stage 4' RE-REVISE.
UNVERIFIABLE claims map to SERIOUS severity.
The review panel includes an Editor-in-Chief.

and 17 more in the full report

11 fixed4 passed either way7 still failing0 broke

Pass-rate lift: +50 pp
Tokens: +467%
Agent turns: 0%
Response time: -36%

Model gemini-3.6-flashMeasured 8/7/2026v115 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/brycewang-stanford-academic-pipeline/SKILL.md https://app.decimal.ai/s/brycewang-stanford-academic-pipeline/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add brycewang-stanford-academic-pipeline, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/brycewang-stanford-academic-pipeline/ and pins it in .decimal/skills.lock

decimalai skills add brycewang-stanford-academic-pipeline

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/brycewang-stanford-academic-pipeline/SKILL.md https://app.decimal.ai/s/brycewang-stanford-academic-pipeline/SKILL.md

Raw file: /s/brycewang-stanford-academic-pipeline/SKILL.md ↗ · machine-readable summary at /s/brycewang-stanford-academic-pipeline.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 11

Prompt

During second-stage verification review on our macroeconomics paper, the reviewer gives a Major Revision decision again. What stage does the pipeline move to, and how many additional review return loops are permitted after that?

What was checked, without and with the skill
Checked	Without skill	With skill
The pipeline moves to Stage 4' RE-REVISE.	Missed	Passed
Stage 4' proceeds directly to Stage 4.5 without returning to review.	Missed	Passed

case-12 · gemini-3.6-flash · 8/7/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md822 lines7 files

Academic Pipeline v2.7 — Full Academic Research Workflow Orchestrator

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.

v2.0 Core Improvements:

Mandatory user confirmation checkpoints — Each stage completion requires user confirmation before proceeding to the next step
Academic integrity verification — After paper completion and before review submission, 100% reference and data verification must pass
Two-stage review — First full review + post-revision focused verification review
Final integrity check — After revision completion, re-verify all citations and data are 100% correct
Reproducible — Standardized workflow producing consistent quality assurance each time
Process documentation — After pipeline completion, automatically generates a "Paper Creation Process Record" PDF documenting the human-AI collaboration history

Quick Start

Full workflow (from scratch):

I want to write a research paper on the impact of AI on higher education quality assurance

--> academic-pipeline launches, starting from Stage 1 (RESEARCH)

Mid-entry (existing paper):

I already have a paper, help me review it

--> academic-pipeline detects mid-entry, starting from Stage 2.5 (INTEGRITY)

Revision mode (received reviewer feedback):

I received reviewer comments, help me revise

--> academic-pipeline detects, starting from Stage 4 (REVISE)

Execution flow:

Detect the user's current stage and available materials
Recommend the optimal mode for each stage
Dispatch the corresponding skill for each stage
After each stage completion, proactively prompt and wait for user confirmation
Track progress throughout; Pipeline Status Dashboard available at any time

Track record

Benchmark

15 / 22

test cases passed, vs 4 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/2/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

brycewang-stanford / Auto-Empirical-Research-Skills

skills/24-Imbad0202-academic-research-skills/academic-pipeline/SKILL.md

View on GitHub ↗

License NOASSERTIONImported 8/2/2026Version v1Bundled 6 files

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See it in action

What's inside

Academic Pipeline v2.7 — Full Academic Research Workflow Orchestrator

Quick Start

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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