Claims
ruvnet/ruflo
Claims-based authorization for agents and operations. An agent skill from ruvnet/ruflo.
Agent skill
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when the one-sentence computational/methodological claim of an INFORMS Journal on Computing (IJOC) manuscript is not sharp, or the contribution reads as application rather…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ijoc-contribution-framing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ijoc-contribution-framing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framing .claude/skills/ijoc-contribution-framing && rm -rf skills-srcUse ~/.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/
Install the "ijoc-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framing into .claude/skills/ijoc-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijoc-contribution-framing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ijoc-contribution-framing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ijoc-contribution-framing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framing .agents/skills/ijoc-contribution-framing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ijoc-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framing into .agents/skills/ijoc-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijoc-contribution-framing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ijoc-contribution-framing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ijoc-contribution-framing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framing .cursor/skills/ijoc-contribution-framing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ijoc-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framing into .cursor/skills/ijoc-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijoc-contribution-framing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ijoc-contribution-framing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ijoc-contribution-framing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framing .gemini/skills/ijoc-contribution-framing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ijoc-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framing into .gemini/skills/ijoc-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijoc-contribution-framing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ijoc-contribution-framingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ijoc-contribution-framing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framing .github/skills/ijoc-contribution-framing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ijoc-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framing into .github/skills/ijoc-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijoc-contribution-framing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ijoc-contribution-framing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ijoc-contribution-framing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framing .opencode/skills/ijoc-contribution-framing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ijoc-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framing into .opencode/skills/ijoc-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijoc-contribution-framing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ijoc-contribution-framingA skill your agent uses when the one-sentence computational/methodological claim of an INFORMS Journal on Computing (IJOC) manuscript is not sharp, or the contribution reads as application rather…
Ijoc Contribution Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the one-sentence computational/methodological claim of an INFORMS Journal on Computing (IJOC) manuscript is not sharp, or the contribution reads as application rather than computing. Sharpens the "what is new and by how much"; it does not run the experiments that back it.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ijoc Contribution Framing loads about 1.2k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 549 words of instructions outside code blocks.
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.
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.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 549 words, ~1,220 tokens.
.claude/skills/ijoc-contribution-framing/SKILL.md (or your agent's skills folder).ijoc-data-analysis) but the paper does not claim them crisplyA strong IJOC contribution sentence names the method, the axis of improvement, the magnitude, and the evidence regime — and is falsifiable. Template:
"We propose [method] for [OR problem]; it [wins on axis] by [magnitude] over [SOTA baseline] on [benchmark set], with [guarantee/property]."
Worked, illustrative: "We propose a Benders-with-lazy-cuts scheme for two-stage stochastic network design that solves instances 6× larger than the best published exact method on standard library instances within the same time limit, with a proof of cut validity and a 31% root-gap reduction." That sentence tells the Area Editor exactly what to verify.
Frame the contribution as one (or a clear combination) of these, and make the primary one unambiguous:
| Contribution type | What makes it land at IJOC | Common failure |
|---|---|---|
| New exact method / formulation | larger solvable instances, tighter bounds, with validity proven | "new model" with no computational edge |
| New heuristic/matheuristic | better quality or time, fairly compared, ideally with a bound | win over a strawman baseline |
| ML-for-OR method | beats both OR and prior learning baselines; feasibility safe | a black box with no OR baseline |
| New simulation/estimation method | lower variance/cost at equal accuracy, with theory | "we simulated it" with no methodological news |
| Computational tooling/methodology | enables computations not previously feasible, reproducibly | software existence without a methodological claim |
The most common framing error at IJOC is leading with the application ("we study airline crew scheduling") rather than the computing ("we design a column-generation acceleration that…"). State the application in one or two sentences as motivation, then pivot hard to the methodological news. If you remove the application and the paper still has a contribution, you are framed correctly; if it collapses, the computing is not yet the contribution — return to ijoc-topic-selection.
Overclaiming triggers referee distrust; underclaiming wastes a good result. Match the verb to the evidence: "proves," "guarantees" only with proofs; "consistently outperforms" only with a performance profile and a statistical test; "scales to" only with a scaling plot. Scope honestly by regime ("on sparse, large instances") rather than blanket dominance. The claim in the abstract, the intro, and the conclusion must be the same claim.
【Journal】INFORMS Journal on Computing
【Skill】ijoc-contribution-framing
【Contribution sentence】method + axis + magnitude + baseline + benchmark + property
【Primary type】exact / heuristic / ML-for-OR / simulation / tooling
【Computing-first?】application is motivation only? [Y/N]
【Claim–evidence match】verbs justified by proofs/profiles/scaling? [Y/N]
【Regime scoping】where the claim holds / where a rival wins
【Next skill】ijoc-tables-figures© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framing of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Ijoc Contribution Framing 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ijoc Contribution Framing this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Claimsruvnet/ruflo | 74k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Ito Computeaffaan-m/ECC | 276k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Contributemindfold-ai/Trellis | 15k | — | ~2.7k | Automated safety check: Pass | AGPL-3.0 | |
| Contributesuperset-sh/superset | 15k | — | ~624 | Automated safety check: Pass | Custom licence | |
| Contributingkortix-ai/suna | 20k | — | ~3k | Automated safety check: Warn | Custom licence |
ruvnet/ruflo
Claims-based authorization for agents and operations. An agent skill from ruvnet/ruflo.
affaan-m/ECC
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, revoke device credentials, and run explicitly gated node qualification through the separately…
mindfold-ai/Trellis
Guide for contributing to Trellis documentation and marketplace.
superset-sh/superset
Set up a Superset open-source contribution, from forking and cloning superset-sh/superset through local dev setup and the repo's rules to a merge-ready PR.
kortix-ai/suna
The pull request loop for this repo: branch → commit → verify in your own box (local tests + local stack) → PR into main → demo video recorded with agent-browser on the local stack → gh --attach →…
davila7/claude-code-templates
World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems.
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
A skill your agent uses when the one-sentence computational/methodological claim of an INFORMS Journal on Computing (IJOC) manuscript is not sharp, or the contribution reads as application rather…. Ijoc Contribution Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the one-sentence computational/methodological claim of an INFORMS Journal on Computing (IJOC) manuscript is not sharp, or the contribution reads as application rather than computing.
Ijoc Contribution Framing fits situations like: the one-sentence computational/methodological claim of an INFORMS Journal on Computing (IJOC) manuscript is not sharp; the contribution reads as application rather than computing.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ijoc-contribution-framing -a claude-code`. Or copy the skill folder (INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framing in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ijoc-contribution-framing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ijoc-contribution-framing -a codex`. Or copy the skill folder (INFORMS-Journal-on-Computing-Skills/skills/ijoc-contribution-framing in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ijoc-contribution-framing in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ijoc-contribution-framing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ijoc-contribution-framing, .gemini/skills/ijoc-contribution-framing, .github/skills/ijoc-contribution-framing and .opencode/skills/ijoc-contribution-framing in your project.
SKILL.md names no scripts, command-line tools or credentials: Ijoc Contribution Framing is instructions for the agent only.
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.
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.
Ijoc Contribution Framing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Ijoc Contribution Framing: Claims (ruvnet/ruflo, 74k stars), Ito Compute (affaan-m/ECC, 276k stars), Contribute (mindfold-ai/Trellis, 15k stars) and Contribute (superset-sh/superset, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.