Paper Review
CamusGIT/EvoQuant
Guides self-review of YOUR OWN academic paper before submission with adversarial stress-testing.
Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict.
$ npx skills add tenfoldmarc/llm-council-skill --skill llm-council -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tenfoldmarc/llm-council-skill llm-council --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "llm-council" agent skill from https://github.com/tenfoldmarc/llm-council-skill/tree/main into .claude/skills/llm-council/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-council", 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.
$ npx skills add tenfoldmarc/llm-council-skill --skill llm-council -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tenfoldmarc/llm-council-skill llm-council --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "llm-council" agent skill from https://github.com/tenfoldmarc/llm-council-skill/tree/main into .agents/skills/llm-council/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-council", 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 tenfoldmarc/llm-council-skill --skill llm-council -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tenfoldmarc/llm-council-skill llm-council --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "llm-council" agent skill from https://github.com/tenfoldmarc/llm-council-skill/tree/main into .cursor/skills/llm-council/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-council", 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.
$ npx skills add tenfoldmarc/llm-council-skill --skill llm-council -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tenfoldmarc/llm-council-skill llm-council --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "llm-council" agent skill from https://github.com/tenfoldmarc/llm-council-skill/tree/main into .gemini/skills/llm-council/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-council", 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 tenfoldmarc/llm-council-skill llm-councilInstalls 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 tenfoldmarc/llm-council-skill --skill llm-council -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "llm-council" agent skill from https://github.com/tenfoldmarc/llm-council-skill/tree/main into .github/skills/llm-council/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-council", 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 tenfoldmarc/llm-council-skill --skill llm-council -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tenfoldmarc/llm-council-skill llm-council --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "llm-council" agent skill from https://github.com/tenfoldmarc/llm-council-skill/tree/main into .opencode/skills/llm-council/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-council", 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.
llm-councilRun any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict.
LLM Council is an agent skill from tenfoldmarc/llm-council-skill. Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict. Based on Karpathy's LLM Council methodology. MANDATORY TRIGGERS: 'council this', 'run the council', 'war room this', 'pressure-test this', 'stress-test this', 'debate this'. STRONG TRIGGERS (use when combined with a real decision or tradeoff): 'should I X or Y', 'which option', 'what would you do', 'is this the right move', 'validate this', 'get…
Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `README.md`).
It sits in Research & Science, covering Load testing and Peer review.
11 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 0dc0327. 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.
Links to these hosts (documentation or services it may open):
x.cominstagram.comFrom 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.
LLM Council loads about 4.2k tokens when it runs. Until then it costs about 230 tokens; SKILL.md has 2,118 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 2,118 words (~4,248 tokens).
“You ask one AI a question, you get one answer. That answer might be great. It might be mid. You have no way to tell because you only saw one perspective.”
SKILL.md and 2 other files in the repository root of tenfoldmarc/llm-council-skill.
Open the folder on GitHubat commit 0dc0327
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in tenfoldmarc/llm-council-skill, which our catalogue first saw on October 7, 2026.
LLM Council 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 |
|---|---|---|---|---|---|---|
| LLM Council this skilltenfoldmarc/llm-council-skill | 823 | 1 repos | ~4.2k | Automated safety check: Pass | None | |
| Paper ReviewCamusGIT/EvoQuant | 151 | 2 repos | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Paper ReviewEvoScientist/EvoSkills | 478 | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | |
| Review Paperpedrohcgs/claude-code-my-workflow | 1.7k | — | ~7.3k | Automated safety check: Pass | MIT | |
| Grant Mock Revieweraipoch/medical-research-skills | 1.9k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Weakness Scannerflonat/flonat-research | 146 | — | ~1.5k | Automated safety check: Pass | MIT |
CamusGIT/EvoQuant
Guides self-review of YOUR OWN academic paper before submission with adversarial stress-testing.
EvoScientist/EvoSkills
Guides self-review of YOUR OWN academic paper before submission with adversarial stress-testing.
pedrohcgs/claude-code-my-workflow
Comprehensive manuscript review with three modes: single-pass (default), --adversarial critic-fixer loop, and --peer [journal] simulated peer-review pipeline (editor + 2 dispositioned referees +…
aipoch/medical-research-skills
Simulate structured grant peer review for biomedical proposals; use when stress-testing significance, innovation, approach, feasibility, and reviewer-facing weaknesses before submission.
flonat/flonat-research
Identify recurring weak arguments, unsupported assumptions, and vulnerable inference patterns across a literature corpus.
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when calibrating expectations for the fast, decisive American Economic Review: Insights (AER: Insights) review process — conditional-accept-or-reject decisions, the…
Categories
Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict. LLM Council is an agent skill from tenfoldmarc/llm-council-skill. Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict.
LLM Council fits situations like: (use when combined with a real decision; tradeoff): should I X; what would you do; is this the right move.
Run `npx skills add tenfoldmarc/llm-council-skill --skill llm-council -a claude-code`. Or copy the skill folder (the tenfoldmarc/llm-council-skill repository) into .claude/skills/llm-council in your project. Claude Code loads it when a task matches its description.
Run `npx skills add tenfoldmarc/llm-council-skill --skill llm-council -a codex`. Or copy the skill folder (the tenfoldmarc/llm-council-skill repository) into .agents/skills/llm-council 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 tenfoldmarc/llm-council-skill --skill llm-council -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llm-council, .gemini/skills/llm-council, .github/skills/llm-council and .opencode/skills/llm-council in your project.
SKILL.md names no scripts, command-line tools or credentials: LLM Council is instructions for the agent only.
SKILL.md names 2 domains. As links in the text: x.com and instagram.com. 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.
No licence was found for LLM Council or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 4.2k tokens (SKILL.md is roughly 17k 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 LLM Council: Paper Review (CamusGIT/EvoQuant, 151 stars), Paper Review (EvoScientist/EvoSkills, 478 stars), Review Paper (pedrohcgs/claude-code-my-workflow, 1.7k stars) and Grant Mock Reviewer (aipoch/medical-research-skills, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
tenfoldmarc (a GitHub user) maintains it in tenfoldmarc/llm-council-skill, which has 823 GitHub stars. The repository was last updated on April 18, 2026.
Source: tenfoldmarc/llm-council-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.