academic-pipeline

academic-pipeline is a skill for Claude Code from echoleesong/claude-skills-plugin. It costs 106 tokens per session (8,775 once invoked), scanned A, a copy of academic-pipeline, MIT.

A workflow coordinator for academic research that moves work from research through writing, integrity checks, reviews, revisions, and finalization.

In plain words
What is it for?
Use it to detect stages, dispatch research and review skills, manage transitions, track state, and optionally resume from saved checkpoints.
Why use it?
It keeps a long research process organized across stages and helps ensure required checks happen before completion.

Skill for Claude Code

Written for Claude Code: PreToolUse hook event. Also seen: mentions CLAUDE.md; mentions Claude Code.

Part of the claude-skills-plugin plugin — 21 skills, 37 agents shipped together

Good fit Use it to detect stages, dispatch research and review skills, manage transitions, track state, and optionally resume from saved checkpoints.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/echoleesong/claude-skills-plugin/academic-pipeline
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add echoleesong/claude-skills-plugin --skill academic-pipeline
Clone the repo
git clone --depth 1 https://github.com/echoleesong/claude-skills-plugin

Made for: Claude Code.

Or install claude-skills-plugin, the plugin that ships this one along with the rest of its 21 skills, 37 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for academic-pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/echoleesong/claude-skills-plugin/academic-pipeline/github.svg)](https://agentmods.dev/skills/echoleesong/claude-skills-plugin/academic-pipeline)
Your own site
<a href="https://agentmods.dev/skills/echoleesong/claude-skills-plugin/academic-pipeline"><img src="https://agentmods.dev/badge/skills/echoleesong/claude-skills-plugin/academic-pipeline/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for academic-pipeline

Your own site · 80×15
<a href="https://agentmods.dev/skills/echoleesong/claude-skills-plugin/academic-pipeline"><img src="https://agentmods.dev/badge/skills/echoleesong/claude-skills-plugin/academic-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,775 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 94% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00106 $0.08775
Opus 5 $0.00053 $0.04387
Sonnet 5 $0.00021 $0.01755
Haiku 4.5 $0.00011 $0.00877

Measured 11d ago against content hash 705c46924593, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

academic-pipeline scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

94% identical to academic-pipeline — 43 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/academic-pipeline/SKILL.md · 624 lines

How it starts

The opening of the file, as written. The whole thing — 624 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Academic Pipeline v3.11.1 — 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.

Routing discipline (v3.9.2): see .claude/CLAUDE.md "Routing Discipline (v3.9.2)" + shared/references/intent_clarification_protocol.md for cross-skill routing rules. This skill assumes routing has already settled — ambiguous cross-phase materials should have been clarified upstream.

v3.6.3 (opt-in): Set ARS_PASSPORT_RESET=1 to promote FULL checkpoints to context-reset boundaries. Use resume_from_passport=<hash> in a fresh session to continue from the recorded stage. See references/passport_as_reset_boundary.md.

v3.8 (opt-in): Set ARS_CLAIM_AUDIT=1 to enable the L3 claim-faithfulness audit gate at the Stage 4 → Stage 5 transition. When the flag is set, the orchestrator dispatches claim_ref_alignment_audit_agent after the v3.7.1 Cite-Time Provenance Finalizer and before formatter_agent's hard gate. The audit emits claim_audit_results[] + uncited_assertions[] + claim_drifts[] + constraint_violations[] + audit_sampling_summaries[] aggregates per the 8-row matrix; HIGH-WARN classes gate-refuse output via the formatter REFUSE rules 6-10. Default OFF for v3.8.0 — ramp-on plan deferred to post-calibration evidence (spec §5 mode flag rationale). See agents/claim_ref_alignment_audit_agent.md and the orchestrator §3.6 prose.

v2.0 Core Improvements:

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

Read the full file on GitHub · 624 lines

Files

What ships with it

29 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 624 lines · 106 tokens per session scan A 705c46924593

Subscribe to this mod's changes

academic-pipeline is a skill published in the GitHub repository echoleesong/claude-skills-plugin (4 stars, last pushed 3mo ago), licensed MIT. It adds 106 tokens to every session and 8,775 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to academic-pipeline, differing in 43 lines, and is treated as a copy.

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