Agent skill
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
Catalogue of prompt framings that determine whether an agent refuses or performs specification search, and the harness for probing them.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill framing-attacks -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills framing-attacks --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/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/73-brycewang-p-hacking-skills/skills/04-framing-attacks .claude/skills/framing-attacks && 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 "framing-attacks" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/73-brycewang-p-hacking-skills/skills/04-framing-attacks into .claude/skills/framing-attacks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-attacks", 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/Auto-Empirical-Research-Skills/tree/main/skills/73-brycewang-p-hacking-skills/skills/04-framing-attacksType 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/Auto-Empirical-Research-Skills --skill framing-attacks -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills framing-attacks --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/73-brycewang-p-hacking-skills/skills/04-framing-attacks .agents/skills/framing-attacks && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "framing-attacks" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/73-brycewang-p-hacking-skills/skills/04-framing-attacks into .agents/skills/framing-attacks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-attacks", 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/Auto-Empirical-Research-Skills --skill framing-attacks -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills framing-attacks --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/73-brycewang-p-hacking-skills/skills/04-framing-attacks .cursor/skills/framing-attacks && 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 "framing-attacks" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/73-brycewang-p-hacking-skills/skills/04-framing-attacks into .cursor/skills/framing-attacks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-attacks", 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/Auto-Empirical-Research-Skills.git --path skills/73-brycewang-p-hacking-skills/skills/04-framing-attacks--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/Auto-Empirical-Research-Skills --skill framing-attacks -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills framing-attacks --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/73-brycewang-p-hacking-skills/skills/04-framing-attacks .gemini/skills/framing-attacks && 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 "framing-attacks" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/73-brycewang-p-hacking-skills/skills/04-framing-attacks into .gemini/skills/framing-attacks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-attacks", 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/Auto-Empirical-Research-Skills framing-attacksInstalls 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/Auto-Empirical-Research-Skills --skill framing-attacks -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/73-brycewang-p-hacking-skills/skills/04-framing-attacks .github/skills/framing-attacks && 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 "framing-attacks" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/73-brycewang-p-hacking-skills/skills/04-framing-attacks into .github/skills/framing-attacks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-attacks", 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/Auto-Empirical-Research-Skills --skill framing-attacks -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/Auto-Empirical-Research-Skills framing-attacks --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/73-brycewang-p-hacking-skills/skills/04-framing-attacks .opencode/skills/framing-attacks && 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 "framing-attacks" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/73-brycewang-p-hacking-skills/skills/04-framing-attacks into .opencode/skills/framing-attacks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-attacks", 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.
framing-attacksCatalogue of prompt framings that determine whether an agent refuses or performs specification search, and the harness for probing them.
Framing Attacks is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Catalogue of prompt framings that determine whether an agent refuses or performs specification search, and the harness for probing them. Reproduces and extends the published finding that coding agents refuse an explicit request for significant results but comply when the identical request is reframed as uncertainty reporting. Use when running a red-team probe of statistical guardrails, designing eval conditions for an agent p-hacking benchmark, measuring the gap between refusal-by-framing and refusal-by-intent…
Its SKILL.md is about 1.4k 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 AI & LLM Engineering, covering LLM guardrails and Red teaming and adversary simulation. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI…
Read from SKILL.md and the folder at commit 9fa87d8. 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:
pythonFrom 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.
Framing Attacks loads about 1.4k tokens when it runs. Until then it costs about 157 tokens; SKILL.md has 680 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 680 words (~1,400 tokens).
“Asher, Malzahn, Paschal, Persano, Myers & Hall (2026) ran 640 analysis sessions across two frontier coding agents and four published null-result papers. The finding that matters here:”
Just SKILL.md in skills/73-brycewang-p-hacking-skills/skills/04-framing-attacks of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
Framing Attacks 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 |
|---|---|---|---|---|---|---|
| Framing Attacks this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Red Teaming LLMs With Garakmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.9k | Automated safety check: Warn | Apache-2.0 | |
| Aisafetyhotwuyoscar/AISafetyHot-Hub | 641 | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Writing Eval Scenariosopen-bias/open-bias | 143 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Prompt GuardOrchestra-Research/AI-Research-SKILLs | 13k | 1 repos | ~2.4k | Automated safety check: Warn | MIT | |
| Continuous LLM Red Teaming With Promptfoomukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 |
mukul975/Anthropic-Cybersecurity-Skills
Runs NVIDIA garak probe suites (jailbreak, prompt injection, data leakage, toxicity, and more) against an LLM endpoint - Hugging Face models, OpenAI-compatible APIs, or Bedrock - then interprets the…
wuyoscar/AISafetyHot-Hub
Query AI Safety HOT news, research papers, incidents, hot topics, and daily/weekly/monthly reports through its public read-only MCP service.
open-bias/open-bias
Guide for writing eval conversation JSONs and running them through policy engines
Orchestra-Research/AI-Research-SKILLs
Meta's 86M prompt injection and jailbreak detector. An agent skill from Orchestra-Research/AI-Research-SKILLs.
mukul975/Anthropic-Cybersecurity-Skills
Wires Promptfoo and DeepTeam into CI/CD for automated, repeatable red-teaming of LLM apps against OWASP LLM Top 10, OWASP Agentic, and MITRE ATLAS presets, failing the build when jailbreak or…
mukul975/Anthropic-Cybersecurity-Skills
Deploys Llama Guard 3 safety classification, NeMo Guardrails programmable dialogue rails, and LLM Guard input/output scanner pipelines as complementary runtime defenses that inspect and constrain…
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when auditing a finished or near-finished AER, AER:Insights, or AEJ manuscript for internal consistency: headline numbers across abstract, introduction, results, and tables…
brycewang-stanford/Auto-Empirical-Research-Skills
English LaTeX academic paper assistant for existing .tex projects.
brycewang-stanford/Auto-Empirical-Research-Skills
Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper…
brycewang-stanford/Auto-Empirical-Research-Skills
Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…
Categories
Catalogue of prompt framings that determine whether an agent refuses or performs specification search, and the harness for probing them. Framing Attacks is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Catalogue of prompt framings that determine whether an agent refuses or performs specification search, and the harness for probing them.
Framing Attacks fits situations like: running a red-team probe of statistical guardrails; designing eval conditions for an agent p-hacking benchmark; measuring the gap between refusal-by-framing and refusal-by-intent; assessing whether a prompt someone received was engineered to induce specification search.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill framing-attacks -a claude-code`. Or copy the skill folder (skills/73-brycewang-p-hacking-skills/skills/04-framing-attacks in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/framing-attacks in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill framing-attacks -a codex`. Or copy the skill folder (skills/73-brycewang-p-hacking-skills/skills/04-framing-attacks in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/framing-attacks 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/Auto-Empirical-Research-Skills --skill framing-attacks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/framing-attacks, .gemini/skills/framing-attacks, .github/skills/framing-attacks and .opencode/skills/framing-attacks in your project.
Going by SKILL.md and its folder, Framing Attacks needs the command-line tools its instructions call (python). Our summary lists: Python 3.
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.
Framing Attacks has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.4k tokens (SKILL.md is roughly 5.6k 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 Framing Attacks: Red Teaming LLMs With Garak (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Aisafetyhot (wuyoscar/AISafetyHot-Hub, 641 stars), Writing Eval Scenarios (open-bias/open-bias, 143 stars) and Prompt Guard (Orchestra-Research/AI-Research-SKILLs, 13k 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/Auto-Empirical-Research-Skills, which has 4,542 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
