Grilling
bestofjs/bestofjs
Grill the user relentlessly about a plan, decision, or idea.
Adversarially challenge research assumptions, mechanisms, and arguments in writing.
$ npx skills add flonat/flonat-research --skill devils-advocate -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install flonat/flonat-research devils-advocate --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/flonat/flonat-research.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/devils-advocate .claude/skills/devils-advocate && 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 "devils-advocate" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/devils-advocate into .claude/skills/devils-advocate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "devils-advocate", 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/flonat/flonat-research/tree/main/skills/devils-advocateType 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 flonat/flonat-research --skill devils-advocate -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install flonat/flonat-research devils-advocate --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/devils-advocate .agents/skills/devils-advocate && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "devils-advocate" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/devils-advocate into .agents/skills/devils-advocate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "devils-advocate", 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 flonat/flonat-research --skill devils-advocate -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install flonat/flonat-research devils-advocate --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/devils-advocate .cursor/skills/devils-advocate && 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 "devils-advocate" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/devils-advocate into .cursor/skills/devils-advocate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "devils-advocate", 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/flonat/flonat-research.git --path skills/devils-advocate--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 flonat/flonat-research --skill devils-advocate -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install flonat/flonat-research devils-advocate --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/devils-advocate .gemini/skills/devils-advocate && 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 "devils-advocate" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/devils-advocate into .gemini/skills/devils-advocate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "devils-advocate", 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 flonat/flonat-research devils-advocateInstalls 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 flonat/flonat-research --skill devils-advocate -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/devils-advocate .github/skills/devils-advocate && 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 "devils-advocate" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/devils-advocate into .github/skills/devils-advocate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "devils-advocate", 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 flonat/flonat-research --skill devils-advocate -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install flonat/flonat-research devils-advocate --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/devils-advocate .opencode/skills/devils-advocate && 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 "devils-advocate" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/devils-advocate into .opencode/skills/devils-advocate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "devils-advocate", 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.
devils-advocateAdversarially challenge research assumptions, mechanisms, and arguments in writing.
Devils Advocate is an agent skill from flonat/flonat-research. Adversarially challenge research assumptions, mechanisms, and arguments in writing. Use when stress-testing a claim or design before committing to it. Not for an interactive oral drill or a full referee report; use $grill-me or a review agent.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/competing-hypotheses.md`).
It sits in Agent Workflows, covering Load testing and Requirements gathering. The repository describes itself as: Shareable Claude Code + Codex infrastructure for PhD researchers — skills, agents, hooks, and rules for academic workflows. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit da27600. 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.
Shell commands in SKILL.md call:
bashFrom 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.
Devils Advocate loads about 1.8k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 738 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 flonat/flonat-research at commit da27600, republished under its MIT licence (© flonat). 738 words, ~1,758 tokens.
.claude/skills/devils-advocate/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Challenge research assumptions and identify weaknesses in your arguments.
Based on Scott Cunningham's Part 3: "Creating Devil's Advocate Agents for Tough Problems" - addressing the "LLM thing of over-confidence in diagnosing a problem."
For formal code audits with replication scripts and referee reports, use the Referee 2 agent instead (.claude/agents/referee2-reviewer.md). This skill is for quick adversarial feedback on arguments, not systematic audits.
references/competing-hypotheses.md and generate 3-5 rival explanations before critiquingInspired by the simulated scientific debates in Google's AI Co-Scientist. A one-shot critique is easy for an LLM to produce but often superficial. Multi-turn debates force each critique to survive a defense, filtering out weak objections and sharpening the strong ones.
Adopt the persona of a hostile but competent reviewer. Challenge on:
Produce numbered critiques (aim for 5-8), each with a concrete statement of the problem.
Switch persona to the paper's author. For each numbered critique, provide the strongest possible defense:
Switch to an impartial senior reviewer. For each critique-defense pair, rule:
Produce a structured report with only the surviving critiques (stands + partially addressed), ranked by severity:
## Devil's Advocate Report
### Critical (must fix before submission)
1. [Critique] — [Why the defense failed] — [Suggested fix]
### Major (reviewers will likely raise)
2. [Critique] — [What remains after defense] — [Suggested fix]
### Minor (worth acknowledging)
3. [Critique] — [Residual concern] — [How to preempt]
### Dismissed
- [Critiques that were resolved in Round 2, listed briefly for transparency]When run on a paper in a research project (a paper-*/ directory exists), persist the report and stamp it into the review log — the same wiring as proofread and bib-validate, so review-recap renders it as a first-class review (not a manual slot).
reviews/<scope>/devils-advocate/<YYYY-MM-DD-HHMM>.md, where <scope> is the in-scope paper slug (e.g. paper-prima) or _project for a project-level argument. Create the dir first (mkdir -p reviews/<scope>/devils-advocate/). Never overwrite — each run is timestamped to the minute. Per rules/review-artefact-routing.md, never write to the project root.reviews/INDEX.md:bash <skills-root>/_shared/review-state-log.sh \
--check devils-advocate \
--paper "<scope>" \
--verdict "<PASS|ISSUES FOUND>" \
--open-issues "<surviving-critiques>/<total-critiques-raised>" \
--report "reviews/<scope>/devils-advocate/<YYYY-MM-DD-HHMM>.md" \
--notes "<one line: e.g. '2 Critical, 1 Major survive; identification strategy weakest'>" \
[--trigger "review-cluster|pre-submission-report"]PASS if no critiques survive adjudication (all dismissed); ISSUES FOUND otherwise.review-cluster or pre-submission-report; otherwise omit.Skip stamping only for non-paper use (challenging a bare argument with no project context) or single-shot mode on a paragraph — then the report stays inline. Schema: the installed shared resource shared/review-state-schema.md.
For quick checks (e.g., "just poke holes in this argument"), skip the multi-turn protocol and produce a direct critique. Use when the user says "quick", "just challenge this", or the input is a paragraph rather than a full paper.
"Play devil's advocate on my research paper about preference drift - specifically challenge my identification strategy and the assumptions about utility functions."
For the highest-stakes arguments, run the debate across multiple LLM providers — different models have genuinely different reasoning patterns, producing adversarial tension a single model cannot replicate. Each model plays Adversarial Critic, cross-reviews the others, and a chairman ranks surviving critiques by cross-model agreement. Trigger: "council devil's advocate" / "thorough challenge". Full orchestration + invocation: ../shared/council-protocol.md.
Value: High — the multi-turn debate becomes genuinely adversarial when different models play different roles. A critique that survives cross-model scrutiny is almost certainly a real weakness.
| Skill | When to use instead/alongside |
|---|---|
interview-me | To develop the idea further through structured interview |
multi-perspective | For multi-perspective analysis with disciplinary diversity |
proofread | For language/formatting review rather than argument critique |
© flonat, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/devils-advocate of flonat/flonat-research.
Open the folder on GitHubat commit da27600
Devils Advocate 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 |
|---|---|---|---|---|---|---|
| Devils Advocate this skillflonat/flonat-research | 145 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Grillingbestofjs/bestofjs | 3.1k | 30 repos | ~464 | Automated safety check: Pass | MIT | |
| Grill Menateherkai/AIS-OS | 1.6k | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Grill MeEffect-TS/effect-smol | 782 | 1 repos | ~504 | Automated safety check: Pass | MIT | |
| Grill Mesanity-io/sanity | 6.4k | 40 repos | ~151 | Automated safety check: Pass | MIT | |
| Deep Divebyungjunjang/jangpm-meta-skills | 121 | — | ~2.5k | Automated safety check: Pass | None |
bestofjs/bestofjs
Grill the user relentlessly about a plan, decision, or idea.
nateherkai/AIS-OS
Interview the user relentlessly about a plan, design, or topic, checkpointing every answer to a brainstorm file so nothing is lost.
Effect-TS/effect-smol
Interview the user about a plan or design until reaching shared understanding, resolving each branch of the decision tree.
sanity-io/sanity
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree.
byungjunjang/jangpm-meta-skills
Socratic interview skill to deepen a spec or refine an existing agent blueprint.
opencrvs/opencrvs-core
Grill the user relentlessly about a plan or design. An agent skill from opencrvs/opencrvs-core.
flonat/flonat-research
Create a large-format academic poster in LaTeX using beamerposter, tikzposter, or baposter.
flonat/flonat-research
Create, revise, and evaluate reusable AI workflow skills, including trigger-quality tests.
flonat/flonat-research
Create, read, edit, or convert Microsoft Word documents while preserving professional document structure.
flonat/flonat-research
Read, create, combine, split, rotate, OCR, watermark, secure, or extract content from PDF files.
flonat/flonat-research
Create or migrate project-level agents, repeatable project workflows, and planning state from one client-neutral contract, then render repository-scoped adapters for both Claude Code and Codex.
flonat/flonat-research
Deliver a fast pre-commit safety scan: file size, anonymity (author / affiliation strings in tex/bib), hardcoded secrets, and invisible-Unicode carriers.
Categories
Adversarially challenge research assumptions, mechanisms, and arguments in writing. Devils Advocate is an agent skill from flonat/flonat-research. Adversarially challenge research assumptions, mechanisms, and arguments in writing.
Devils Advocate fits situations like: stress-testing a claim; design before committing to it.
Run `npx skills add flonat/flonat-research --skill devils-advocate -a claude-code`. Or copy the skill folder (skills/devils-advocate in flonat/flonat-research) into .claude/skills/devils-advocate in your project. Claude Code loads it when a task matches its description.
Run `npx skills add flonat/flonat-research --skill devils-advocate -a codex`. Or copy the skill folder (skills/devils-advocate in flonat/flonat-research) into .agents/skills/devils-advocate 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 flonat/flonat-research --skill devils-advocate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/devils-advocate, .gemini/skills/devils-advocate, .github/skills/devils-advocate and .opencode/skills/devils-advocate in your project.
Going by SKILL.md and its folder, Devils Advocate needs the command-line tools its instructions call (bash).
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.
Devils Advocate is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Devils Advocate: Grilling (bestofjs/bestofjs, 3.1k stars), Grill Me (nateherkai/AIS-OS, 1.6k stars), Grill Me (Effect-TS/effect-smol, 782 stars) and Grill Me (sanity-io/sanity, 6.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
flonat (a GitHub user) maintains it in flonat/flonat-research, which has 145 GitHub stars. The repository holds 83 skills in this directory. The repository was last updated on September 29, 2026.
Source: flonat/flonat-research on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.