amj-contribution-framing

amj-contribution-framing is a skill for Claude Code from brycewang-stanford/Awesome-Journal-Skills. It costs 73 tokens per session (1,119 once invoked), scanned A, original, MIT.

A writing workflow for explaining what an Academy of Management Journal study adds to theory. It turns findings into a discussion of what researchers and managers can learn from them.

In plain words
What is it for?
Use it to frame theoretical contributions, write the discussion section, explain practical implications, and respond to claims that a contribution is incremental or descriptive.
Why use it?
It helps when a paper reports results but the central “so what?” is unclear, or when the discussion merely repeats the findings. It also avoids vague claims about practical value.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the amj-skills plugin — 3 skills shipped together

Good fit Use it to frame theoretical contributions, write the discussion section, explain practical implications, and respond to claims that a contribution is incremental or descriptive.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/brycewang-stanford/awesome-journal-skills/amj-contribution-framing
About the project

Awesome Journal Skills is a collection of agent skill packs tailored to hundreds of academic journals across fields including economics, social science, medicine, science, and engineering. Researchers use the packs for tasks such as choosing topics, designing empirical strategies, preparing tables and figures, submitting papers, and responding to reviewers. The catalogue entries are the project's journal-specific skills and related plugins.

brycewang-stanford/Awesome-Journal-Skills · 1,259 stars · on GitHub · copaper.ai

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 brycewang-stanford/Awesome-Journal-Skills --skill amj-contribution-framing
Clone the repo
git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills

Made for: Claude Code.

Or install amj-skills, the plugin that ships this one along with the rest of its 3 skills.

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 amj-contribution-framing

README.md
[![agentmods](https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/amj-contribution-framing/github.svg)](https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/amj-contribution-framing)
Your own site
<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/amj-contribution-framing"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/amj-contribution-framing/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 amj-contribution-framing

Your own site · 80×15
<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/amj-contribution-framing"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/amj-contribution-framing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,119 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00073 $0.01119
Opus 5.5 $0.00029 $0.00448
Sonnet 5.5 $0.00015 $0.00224
Haiku 4.5 $0.00007 $0.00112

Measured 1mo ago against content hash f629cdfc8c71, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

amj-contribution-framing 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 1mo 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.

Academy-of-Management-Journal-Skills/skills/amj-contribution-framing/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Contribution Framing & Discussion (amj-contribution-framing)

When to trigger

  • Results are in but the "so what for theory" is vague or missing
  • The discussion restates findings instead of advancing the theory
  • A reviewer says the contribution is "incremental," "descriptive," or "unclear"
  • You can describe what you found but not what the field now knows that it did not before
  • The practical-implications paragraph is generic ("managers should pay attention to X")

The contribution question AMJ asks

AMJ evaluates every paper on three criteria: a strong empirical contribution, a meaningful theoretical contribution, and practical relevance. The empirical contribution must be paired with a theoretical one: what do we now understand about the theory that we did not before? — and the discussion must also speak to why it matters for management practice. A clear, defensible theoretical answer is essential; strong results with no theoretical advance read as a technical report, not an AMJ paper. AMJ's From the Editors tradition frames this as the "so what?" and "who cares?" tests.

Types of theoretical contribution (claim the right one)

Contribution type What it does
Reveal a new mechanism Explains why an established effect occurs
Establish a boundary Shows when an effect holds, weakens, or reverses
Adjudicate competing theories Shows which of two rival predictions holds, and why
Integrate / bridge Connects two literatures into a more general account
Challenge an assumption Overturns a taken-for-granted premise (problematization)
Introduce/refine a construct Conceptualizes and validates a new construct that earns its keep

State explicitly which type(s) you claim; do not gesture vaguely at "contributing to the literature."

Read the full file on GitHub · 80 lines

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. 1mo ago First seen · 80 lines · 73 tokens per session scan A f629cdfc8c71

Subscribe to this mod's changes

amj-contribution-framing is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,259 stars, last pushed 19d ago), licensed MIT. It adds 73 tokens to every session and 1,119 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-15.

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