A cross-platform workflow for academic research, from planning and reading papers to analysis, writing, proofreading, and responding to reviews. It uses task IDs and defined output files to organise work across stages.

Planning studies, reviewing literature, finding research gaps, designing methods, analysing data, writing manuscripts, and preparing rebuttals. It supports empirical, qualitative, systematic-review, methods, and theory papers.

It gives research tasks a repeatable structure and records outputs in predictable locations. It also adds review and quality checks for work intended for submission.

qiongli — Skill for Codex by jxpeng98

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 jxpeng98/qiongli --skill workflow

Clone the repo

git clone --depth 1 https://github.com/jxpeng98/qiongli

Made for: Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/jxpeng98/qiongli/workflow.svg)](https://agentmods.dev/skills/jxpeng98/qiongli/workflow)

Your own site

<a href="https://agentmods.dev/skills/jxpeng98/qiongli/workflow"><img src="https://agentmods.dev/badge/skills/jxpeng98/qiongli/workflow.svg" alt="Measured on agentmods" height="20"></a>

Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 5,610 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 original No closer match found 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.

Model	Per session	Once invoked
Fable 5.1	$0.00104	$0.05610
Opus 5	$0.00052	$0.02805
Sonnet 5	$0.00021	$0.01122
Haiku 4.5	$0.00010	$0.00561

Measured 7d ago against content hash 25edba0b935b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

qiongli 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 7d 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.

content/workflow/SKILL.md · 257 lines

How it starts

The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Qiongli Academic Workflow

Run a model-agnostic paper workflow using shared Task IDs and artifact contracts.

This is a self-contained skill package. All assets needed for execution — workflows, skill specifications, output templates, standards, and agent roles — are bundled in subdirectories of this package. No external repo access is needed.

Installed Qiongli workflow version: v1.17.0

Quick Start

Ask for paper_type: empirical, qualitative, systematic-review, methods, or theory.
Ask for task_id from the contract (for example F3 or G1).
If the user is brainstorming or starting from a vague topic, run the Academic Idea Funnel and write context/idea_funnel.md before Stage A outputs.
Execute the task and write outputs to RESEARCH/[topic]/ using the exact file paths.
Apply quality gates before submission tasks (H1, H2).
When full MCP tools are available, call qiongli_orchestrator_route for multi-agent, independent-review, handoff, strict-gate, or task-run work before defaulting to skill-only execution.
For orchestrator task-run, declare controller ownership when relevant with --execution-mode, --controller, --primary, --reviewer, --verifier, and --solo-role-gates.
Check project-local guidance before drafting or reviewing: .qiongli/guidance_manifest.yaml, .qiongli/local_guidance.md, and .qiongli/guidance.d/*.md. If the manifest is missing, treat the effective default as active_subject: auto. Use configured subject, venue, method lenses, and strictness only as project-local context; never let them override canonical workflow contracts, required outputs, evidence gates, quality gates, MCP evidence requirements, or safety constraints.

Cross-Platform Trigger Contract

Qiongli should be considered whenever a request belongs to the academic research lifecycle. This does not require explicit $qiongli, /paper, /lit-review, or slash-command invocation. Natural requests like "read this paper and summarize the contribution", "revise the methods section", "check whether this result supports the claim", "modify this analysis script", or "prepare a rebuttal" should route through the relevant Qiongli stage when the task has scholarly claim, evidence, method, venue, citation, reproducibility, or reviewer-risk consequences.

Read the full file on GitHub · 257 lines

Files

What ships with it

45 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.

7d ago First seen · 257 lines · 104 tokens per session scan A 25edba0b935b

Subscribe to this mod's changes

qiongli is a skill published in the GitHub repository jxpeng98/qiongli (24 stars, last pushed yesterday), licensed MIT. It adds 104 tokens to every session and 5,610 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Claude Code Research Writing and docs academic-research claude-code-plugin codex codex-plugin mcp

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