Feature Planner
serendipity1004/cc-feature-implementer
Creates phase-based feature plans with quality gates and incremental delivery structure.
Codex's PRIMARY review role. An agent skill from appleweiping/WEIPING_WIKI.
Install Aris Auto Review Loop
$ npx skills add appleweiping/WEIPING_WIKI --skill aris-auto-review-loop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install appleweiping/WEIPING_WIKI aris-auto-review-loop --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/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/aris-auto-review-loop .claude/skills/aris-auto-review-loop && 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 "aris-auto-review-loop" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.codex/skills/aris-auto-review-loop into .claude/skills/aris-auto-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-auto-review-loop", 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/appleweiping/WEIPING_WIKI/tree/main/.codex/skills/aris-auto-review-loopType 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 appleweiping/WEIPING_WIKI --skill aris-auto-review-loop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install appleweiping/WEIPING_WIKI aris-auto-review-loop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/aris-auto-review-loop .agents/skills/aris-auto-review-loop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aris-auto-review-loop" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.codex/skills/aris-auto-review-loop into .agents/skills/aris-auto-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-auto-review-loop", 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 appleweiping/WEIPING_WIKI --skill aris-auto-review-loop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install appleweiping/WEIPING_WIKI aris-auto-review-loop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/aris-auto-review-loop .cursor/skills/aris-auto-review-loop && 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 "aris-auto-review-loop" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.codex/skills/aris-auto-review-loop into .cursor/skills/aris-auto-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-auto-review-loop", 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/appleweiping/WEIPING_WIKI.git --path .codex/skills/aris-auto-review-loop--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 appleweiping/WEIPING_WIKI --skill aris-auto-review-loop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install appleweiping/WEIPING_WIKI aris-auto-review-loop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/aris-auto-review-loop .gemini/skills/aris-auto-review-loop && 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 "aris-auto-review-loop" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.codex/skills/aris-auto-review-loop into .gemini/skills/aris-auto-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-auto-review-loop", 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 appleweiping/WEIPING_WIKI aris-auto-review-loopInstalls 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 appleweiping/WEIPING_WIKI --skill aris-auto-review-loop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/aris-auto-review-loop .github/skills/aris-auto-review-loop && 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 "aris-auto-review-loop" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.codex/skills/aris-auto-review-loop into .github/skills/aris-auto-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-auto-review-loop", 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 appleweiping/WEIPING_WIKI --skill aris-auto-review-loop -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install appleweiping/WEIPING_WIKI aris-auto-review-loop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/aris-auto-review-loop .opencode/skills/aris-auto-review-loop && 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 "aris-auto-review-loop" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.codex/skills/aris-auto-review-loop into .opencode/skills/aris-auto-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-auto-review-loop", 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.
Facts
- Skill name
aris-auto-review-loop- GitHub stars
- 119
- Token cost
- ~1.5k tokens
- SKILL.md length
- 530 words
- Files
- 1
- Skills in repo
- 51
- Repo updated
- First seen
- Licence
- MIT
At a glance
Codex's PRIMARY review role. An agent skill from appleweiping/WEIPING_WIKI.
- Works in 4 steps: Full Structured Review → Kill-Argument → Questions for Authors → …
- Tasks that involve Quality gates
- SKILL.md covers Role, Phase 1: Full Structured Review, Phase 2: Kill-Argument and Phase 3: Questions for Authors, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Aris Auto Review Loop is an agent skill from appleweiping/WEIPING_WIKI. Codex's PRIMARY review role. Simulate a hostile top-venue reviewer. Score on 7 dimensions, write kill-argument, give accept/reject verdict. This is the core quality gate in the ARIS research workflow.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Testing & QA, covering Quality gates. The repository describes itself as: knowledge base managed with an LLM workflow. The licence is MIT.
When your agent uses it
- Tasks that involve Quality gates
Example prompts
- “/aris-auto-review-loop”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 76fdc42. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
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.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Aris Auto Review Loop loads about 1.5k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 530 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from appleweiping/WEIPING_WIKI at commit 76fdc42, republished under its MIT licence (© appleweiping). 530 words, ~1,460 tokens.
Download SKILL.mdSave it as
.claude/skills/aris-auto-review-loop/SKILL.md (or your agent's skills folder).- name
- aris-auto-review-loop
- description
- Codex's PRIMARY review role. Simulate a hostile top-venue reviewer. Score on 7 dimensions, write kill-argument, give accept/reject verdict. This is the core quality gate in the ARIS research workflow.
- triggers
- auto-review, review paper, 自动审稿, peer review, simulate reviewer, conference review
- role
- auditor
- agent
- codex
ARIS Auto-Review Loop: Hostile Reviewer Simulation
Role
You are a hostile top-venue reviewer (DAC/ICCAD/ISSCC/NeurIPS/ICML caliber). Your job is to find every weakness. You are not here to encourage — you are here to prevent embarrassment at review time.
Mindset: "If I can find this flaw, so will Reviewer 2."
Phase 1: Full Structured Review
7-Dimension Scoring Rubric
| Dimension | 1 (Fatal) | 2 (Weak) | 3 (Borderline) | 4 (Good) | 5 (Excellent) |
|---|---|---|---|---|---|
| Novelty | Incremental rehash of known work | Minor twist on existing method | Some new elements but overlap with prior art | Clear novel contribution | Paradigm-shifting idea |
| Clarity | Unreadable, undefined notation | Confusing structure, key details missing | Mostly clear but some ambiguity | Well-written, minor issues | Crystal clear, a pleasure to read |
| Soundness | Fundamental errors in method/proof | Questionable assumptions unaddressed | Minor gaps in reasoning | Technically solid | Rigorous and watertight |
| Significance | No practical or theoretical impact | Marginal improvement | Useful but limited scope | Strong contribution to subfield | Will change how people work |
| Reproducibility | No details to reproduce | Missing critical parameters | Most details present, some gaps | Fully specified method | Code + data available |
| Completeness | Missing major experiments | Key baselines absent | Adequate but could be stronger | Thorough evaluation | Exhaustive, anticipates all questions |
| Presentation | Figures unreadable, tables broken | Poor formatting, inconsistent style | Acceptable but not polished | Professional quality | Publication-ready, exemplary |
Scoring Output
DIMENSION SCORES:
Novelty: X/5 — [one-line justification]
Clarity: X/5 — [one-line justification]
Soundness: X/5 — [one-line justification]
Significance: X/5 — [one-line justification]
Reproducibility: X/5 — [one-line justification]
Completeness: X/5 — [one-line justification]
Presentation: X/5 — [one-line justification]
OVERALL: X/35Score Interpretation
- 30-35: Strong Accept territory
- 25-29: Weak Accept / Borderline Accept
- 20-24: Borderline
- 15-19: Weak Reject
- Below 15: Reject
Phase 2: Kill-Argument
The single strongest reason to reject this paper. Write it as a reviewer would:
Template
KILL-ARGUMENT:
[2-4 sentences. The one fatal flaw that, if unaddressed, guarantees rejection.
Be specific. Cite the exact section/claim/figure that fails.]Kill-Argument Categories (pick the most applicable)
- Novelty kill: "This is essentially [prior work] with [minor change]"
- Soundness kill: "The proof/method has a fundamental flaw at [location]"
- Evaluation kill: "Missing comparison to [obvious baseline]"
- Overclaim kill: "Claims X but evidence only shows Y"
- Scope kill: "Only works for [narrow case], not generalizable"
Phase 3: Questions for Authors
List 3-5 questions that a reviewer would ask in the "Questions for Authors" section. These should be questions whose answers would change the verdict.
Show full SKILL.md (200 more words)Show less
Format
QUESTIONS FOR AUTHORS:
Q1: [Question that, if answered well, would strengthen the paper]
Q2: [Question exposing a potential weakness]
Q3: [Question about generalizability or limitations]
Q4: [Optional: question about experimental setup]
Q5: [Optional: question about comparison fairness]Phase 4: Verdict
Verdict Scale
| Verdict | Meaning | Action |
|---|---|---|
| Accept | Ready for submission as-is | Proceed to final formatting |
| Weak Accept | Minor issues, fixable in 1-2 days | Fix listed issues, no re-review needed |
| Borderline | Could go either way | Fix issues, run review loop again |
| Weak Reject | Significant issues but salvageable | Major revision, must re-review |
| Reject | Fundamental problems | Back to drawing board on core contribution |
Verdict Template
VERDICT: [Accept / Weak Accept / Borderline / Weak Reject / Reject]
Confidence: [High / Medium / Low]
(Low = paper is outside my expertise or I'm unsure about domain conventions)
Summary: [2-3 sentences explaining the verdict]
Required changes (if not Accept):
1. [Most critical change]
2. [Second most critical]
3. [Third, if applicable]
Suggested changes (nice-to-have):
- [Optional improvement 1]
- [Optional improvement 2]Execution Protocol
- Read the FULL paper before scoring (do not score section-by-section)
- Score all 7 dimensions independently
- Write kill-argument AFTER scoring (don't let it bias scores)
- Questions should be genuine — things you'd actually want answered
- Verdict must be consistent with scores (don't give 30/35 and Reject)
Calibration Notes
- A typical top-venue acceptance rate is 20-25%. Be calibrated accordingly.
- "Good enough for a workshop" is NOT good enough. Target top venues.
- If the paper is in a domain you lack expertise in, state this and lower confidence.
- Compare against the BEST papers in the target venue, not average submissions.
Loop Behavior
This skill can be invoked multiple times on the same paper (after revisions). Each invocation is independent — do not anchor to previous scores. Track revision history only if explicitly provided.
© appleweiping, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .codex/skills/aris-auto-review-loop of appleweiping/WEIPING_WIKI.
Open the folder on GitHubat commit 76fdc42
Compare with similar skills
Aris Auto Review Loop 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 |
|---|---|---|---|---|---|---|
| Aris Auto Review Loop this skillappleweiping/WEIPING_WIKI | 119 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Feature Plannerserendipity1004/cc-feature-implementer | 176 | — | ~2.4k | Automated safety check: Pass | None | |
| Ccg Workflowfengshao1227/ccg-workflow | 5.9k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Conducty Checkpointrobertbarclayy/conducty | 176 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Mission Plannerjdforsythe/forge | 151 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Quality Gate0xNyk/lacp | 305 | — | ~382 | Automated safety check: Pass | MIT |
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fengshao1227/ccg-workflow
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Conducty Checkpoint
robertbarclayy/conducty
Quality gate between parallelization groups. An agent skill from robertbarclayy/conducty.
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jdforsythe/forge
Decomposes goals into team blueprints using evidence-based scaling laws, topology selection, and role design.
Quality Gate
0xNyk/lacp
Production quality gate for agent sessions. An agent skill from 0xNyk/lacp.
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Questions about Aris Auto Review Loop
What does Aris Auto Review Loop do?
Codex's PRIMARY review role. An agent skill from appleweiping/WEIPING_WIKI. Aris Auto Review Loop is an agent skill from appleweiping/WEIPING_WIKI. Codex's PRIMARY review role.
When should I use Aris Auto Review Loop?
Aris Auto Review Loop fits situations like: tasks that involve Quality gates.
How do I install Aris Auto Review Loop in Claude Code?
Run `npx skills add appleweiping/WEIPING_WIKI --skill aris-auto-review-loop -a claude-code`. Or copy the skill folder (.codex/skills/aris-auto-review-loop in appleweiping/WEIPING_WIKI) into .claude/skills/aris-auto-review-loop in your project. Claude Code loads it when a task matches its description.
How do I install Aris Auto Review Loop in Codex?
Run `npx skills add appleweiping/WEIPING_WIKI --skill aris-auto-review-loop -a codex`. Or copy the skill folder (.codex/skills/aris-auto-review-loop in appleweiping/WEIPING_WIKI) into .agents/skills/aris-auto-review-loop in your project. Codex loads it when a task matches its description.
Can I use Aris Auto Review Loop in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add appleweiping/WEIPING_WIKI --skill aris-auto-review-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aris-auto-review-loop, .gemini/skills/aris-auto-review-loop, .github/skills/aris-auto-review-loop and .opencode/skills/aris-auto-review-loop in your project.
What does Aris Auto Review Loop need to run?
SKILL.md names no scripts, command-line tools or credentials: Aris Auto Review Loop is instructions for the agent only.
Does Aris Auto Review Loop access the network?
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.
Is Aris Auto Review Loop safe to install?
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.
What licence does Aris Auto Review Loop use?
Aris Auto Review Loop is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Aris Auto Review Loop use?
About 1.5k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Aris Auto Review Loop?
Skills that share tags, products or a category with Aris Auto Review Loop: Feature Planner (serendipity1004/cc-feature-implementer, 176 stars), Ccg Workflow (fengshao1227/ccg-workflow, 5.9k stars), Conducty Checkpoint (robertbarclayy/conducty, 176 stars) and Mission Planner (jdforsythe/forge, 151 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aris Auto Review Loop?
appleweiping (a GitHub user) maintains it in appleweiping/WEIPING_WIKI, which has 119 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on August 26, 2026.
Source: appleweiping/WEIPING_WIKI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.