StatsPAI_skill

brycewang-stanford/Auto-Empirical-Research-Skills AI & ML engineering Office & PDF Science & research

StatsPAI_skill is a skill in brycewang-stanford/Auto-Empirical-Research-Skills, last changed 15 Oct 2026. It can change agent settings, run shell commands, reach the network and name web addresses — read the findings before installing.

From the author

Use when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics paper (AER / QJE / JPE / ReStud / AEJ) with DID / RD / IV / SCM / DML / matching, written-out estimating equation + identifying assumption, Table 1 / Table 2 / event-study figure / robustness gauntlet — OR in epidemiology / public health style (target-trial emulation, IPTW + g-formula + TMLE triplet, Mendelian randomization, KM/AFT survival, E-value sensitivity, STROBE/TRIPOD reporting) — OR in ML causal inference style (DML, S/T/X/R/DR meta-learners, causal forest, Dragonnet/TARNet/CEVAE, BCF, CATE distribution, policy learning, conformal causal, fairness audit, causal discovery) — OR in distributional / gap-decomposition style (Oaxaca–Blinder `sp.oaxaca`, Kitagawa `sp.kitagawa_decompose`, DiNardo–Fortin–Lemieux `sp.dfl_decompose`, Gelbach `sp.gelbach`, Fairlie `sp.fairlie`, RIF / FFL `sp.rif_decomposition`, all reachable through the `sp.decompose` dispatcher). Also covers exporting multi-column regression tables to Word / Excel / LaTeX (Stata outreg2 / esttab / R modelsummary equivalent) and bundling an entire replication appendix into one .docx / .xlsx / .tex file. Triggers on keywords "StatsPAI", "statspai", "AER empirical analysis", "applied micro pipeline", "Table 1 balance", "event study", "first-stage F", "Oster bound", "honest_did", "spec_curve", "callaway_santanna", "dragonnet", "text as treatment", "outreg2 in Python", "regression table to Word/Excel", "sp.regtable", "sp.collect", "sp.paper_tables", "sp.feols", "summary_col", "modelsummary", "AER style table", "QJE style table", "epidemiology pipeline", "target trial emulation", "g-formula", "IPTW", "TMLE", "Mendelian randomization", "STROBE", "TRIPOD", "公共健康", "流行病学", "DML", "double machine learning", "causal forest", "meta-learner", "CATE", "conformal causal", "policy learning", "因果机器学习", "ML causal", "decomposition", "Oaxaca-Blinder", "Kitagawa", "DiNardo-Fortin-Lemieux", "DFL", "Gelbach", "RIF decomposition", "wage gap decomposition", "sp.decompose", "sp.oaxaca".

How much a skill can do, not whether it is risky.

Pattern check

Nothing flagged

That isn't proof the skill is harmless.

Commit bfa0a6e · 3 Nov 2026

How the check works

Pattern check: nothing flagged

That isn't proof the skill is harmless.

Install

Each tab says whether it installs commit bfa0a6e, the one we checked, or the latest version.

OpenCode also looks in .agents/skills/ and ~/.agents/skills/, so use the Any agent steps.

Goose also looks in .agents/skills/ and ~/.agents/skills/, so use the Any agent steps.

Windsurf (Devin Desktop) also looks in .agents/skills/ and ~/.agents/skills/, so use the Any agent steps.

Zed also looks in .agents/skills/ and ~/.agents/skills/, so use the Any agent steps.

Roo Code also looks in .agents/skills/ and ~/.agents/skills/, so use the Any agent steps.

Factory Droid also looks in .agents/skills/ and ~/.agents/skills/, so use the Any agent steps.

Junie also looks in .agents/skills/ and ~/.agents/skills/, so use the Any agent steps.

Amp also looks in .agents/skills/ and ~/.agents/skills/, so use the Any agent steps.

No install command here reaches Kiro. Copy the skill's folder into .kiro/skills/ in your project, or ~/.kiro/skills/ for all your projects. brycewang-stanford/Auto-Empirical-Research-Skills/skills/00-Full-empirical-analysis-skill_StatsPAI (opens in a new tab)

Antigravity also looks in .agents/skills/, so the Any agent steps reach it with This project. For All projects, see where Antigravity looks.

Cline also looks in .claude/skills/, so the Claude Code steps reach it with This project. For All projects, see where Cline looks.

No tab for your agent? Use Any agent for OpenCode, Goose, Windsurf (Devin Desktop), Zed, Roo Code, Factory Droid, Junie and Amp. With This project, Any agent also reaches Antigravity and Claude Code reaches Cline. Kiro needs the folder copied by hand.

Pinned to commit bfa0a6e, the one we checked.

From your project's root folder:

tmp="$(mktemp -d)" &&git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git "$tmp" &&git -C "$tmp" fetch -q --depth 1 origin bfa0a6e5a843babbf45a1ef1663fd5dc4f07c0ba &&git -C "$tmp" sparse-checkout set -- skills/00-Full-empirical-analysis-skill_StatsPAI &&git -C "$tmp" checkout -q bfa0a6e5a843babbf45a1ef1663fd5dc4f07c0ba &&mkdir -p .claude/skills &&mkdir .claude/skills/00-Full-empirical-analysis-skill_StatsPAI &&cp -R "$tmp"/skills/00-Full-empirical-analysis-skill_StatsPAI/. .claude/skills/00-Full-empirical-analysis-skill_StatsPAI/ &&rm -rf "$tmp"

If Claude Code was already running and this created the skills folder, run /reload-skills.

Claude Code docs

Pinned to commit bfa0a6e, the one we checked.

Skills in the Claude apps belong to your account rather than to a project.

Make 00-Full-empirical-analysis-skill_StatsPAI.zip, with the skill folder at the top level:

tmp="$(mktemp -d)" &&git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git "$tmp" &&git -C "$tmp" fetch -q --depth 1 origin bfa0a6e5a843babbf45a1ef1663fd5dc4f07c0ba &&git -C "$tmp" sparse-checkout set -- skills/00-Full-empirical-analysis-skill_StatsPAI &&git -C "$tmp" checkout -q bfa0a6e5a843babbf45a1ef1663fd5dc4f07c0ba &&out="$(mktemp -d)" &&cp -R "$tmp"/skills/00-Full-empirical-analysis-skill_StatsPAI "$out"/00-Full-empirical-analysis-skill_StatsPAI &&(cd "$out" && zip -qr - 00-Full-empirical-analysis-skill_StatsPAI) > 00-Full-empirical-analysis-skill_StatsPAI.zip &&rm -rf "$tmp" "$out"

In Claude, open Customize > Skills, select +, then + Create skill > Upload a skill, and choose 00-Full-empirical-analysis-skill_StatsPAI.zip.

On Free, Pro and Max plans, turn on Code execution and file creation (Create and edit files in newer settings) under Settings > Capabilities.

Claude apps docs

Pinned to commit bfa0a6e, the one we checked.

From your project's root folder:

tmp="$(mktemp -d)" &&git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git "$tmp" &&git -C "$tmp" fetch -q --depth 1 origin bfa0a6e5a843babbf45a1ef1663fd5dc4f07c0ba &&git -C "$tmp" sparse-checkout set -- skills/00-Full-empirical-analysis-skill_StatsPAI &&git -C "$tmp" checkout -q bfa0a6e5a843babbf45a1ef1663fd5dc4f07c0ba &&mkdir -p .agents/skills &&mkdir .agents/skills/00-Full-empirical-analysis-skill_StatsPAI &&cp -R "$tmp"/skills/00-Full-empirical-analysis-skill_StatsPAI/. .agents/skills/00-Full-empirical-analysis-skill_StatsPAI/ &&rm -rf "$tmp"

Codex picks up new skills on its own; restart it if this one does not appear.

Codex docs

Pinned to commit bfa0a6e, the one we checked.

From your project's root folder:

tmp="$(mktemp -d)" &&git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git "$tmp" &&git -C "$tmp" fetch -q --depth 1 origin bfa0a6e5a843babbf45a1ef1663fd5dc4f07c0ba &&git -C "$tmp" sparse-checkout set -- skills/00-Full-empirical-analysis-skill_StatsPAI &&git -C "$tmp" checkout -q bfa0a6e5a843babbf45a1ef1663fd5dc4f07c0ba &&mkdir -p .cursor/skills &&mkdir .cursor/skills/00-Full-empirical-analysis-skill_StatsPAI &&cp -R "$tmp"/skills/00-Full-empirical-analysis-skill_StatsPAI/. .cursor/skills/00-Full-empirical-analysis-skill_StatsPAI/ &&rm -rf "$tmp"

Cursor docs

Pinned to commit bfa0a6e, the one we checked.

From your project's root folder:

tmp="$(mktemp -d)" &&git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git "$tmp" &&git -C "$tmp" fetch -q --depth 1 origin bfa0a6e5a843babbf45a1ef1663fd5dc4f07c0ba &&git -C "$tmp" sparse-checkout set -- skills/00-Full-empirical-analysis-skill_StatsPAI &&git -C "$tmp" checkout -q bfa0a6e5a843babbf45a1ef1663fd5dc4f07c0ba &&mkdir -p .github/skills &&mkdir .github/skills/00-Full-empirical-analysis-skill_StatsPAI &&cp -R "$tmp"/skills/00-Full-empirical-analysis-skill_StatsPAI/. .github/skills/00-Full-empirical-analysis-skill_StatsPAI/ &&rm -rf "$tmp"

In a running Copilot CLI session, run /skills reload.

Or install it with gh skill, which also installs the commit we checked. Needs GitHub CLI 2.90 or later.

gh skill install brycewang-stanford/Auto-Empirical-Research-Skills skills/00-Full-empirical-analysis-skill_StatsPAI/SKILL.md@bfa0a6e5a843babbf45a1ef1663fd5dc4f07c0ba --agent github-copilot --scope project

Copilot & VS Code docs

Pinned to commit bfa0a6e, the one we checked.

From your project's root folder:

tmp="$(mktemp -d)" &&git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git "$tmp" &&git -C "$tmp" fetch -q --depth 1 origin bfa0a6e5a843babbf45a1ef1663fd5dc4f07c0ba &&git -C "$tmp" sparse-checkout set -- skills/00-Full-empirical-analysis-skill_StatsPAI &&git -C "$tmp" checkout -q bfa0a6e5a843babbf45a1ef1663fd5dc4f07c0ba &&mkdir -p .gemini/skills &&mkdir .gemini/skills/00-Full-empirical-analysis-skill_StatsPAI &&cp -R "$tmp"/skills/00-Full-empirical-analysis-skill_StatsPAI/. .gemini/skills/00-Full-empirical-analysis-skill_StatsPAI/ &&rm -rf "$tmp"

In a running session, run /skills reload.

Or use Gemini CLI’s own installer. Installs the latest version, not the one we checked.

gemini skills install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/00-Full-empirical-analysis-skill_StatsPAI --scope workspace

Gemini CLI docs

Pinned to commit bfa0a6e, the one we checked.

OpenCode, Goose, Windsurf (Devin Desktop), Zed, Roo Code, Factory Droid, Junie, Amp and Antigravity read .agents/skills in a project.

From your project's root folder:

tmp="$(mktemp -d)" &&git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git "$tmp" &&git -C "$tmp" fetch -q --depth 1 origin bfa0a6e5a843babbf45a1ef1663fd5dc4f07c0ba &&git -C "$tmp" sparse-checkout set -- skills/00-Full-empirical-analysis-skill_StatsPAI &&git -C "$tmp" checkout -q bfa0a6e5a843babbf45a1ef1663fd5dc4f07c0ba &&mkdir -p .agents/skills &&mkdir .agents/skills/00-Full-empirical-analysis-skill_StatsPAI &&cp -R "$tmp"/skills/00-Full-empirical-analysis-skill_StatsPAI/. .agents/skills/00-Full-empirical-analysis-skill_StatsPAI/ &&rm -rf "$tmp"

Or use the skills CLI from skills.sh. Installs the latest version, not the one we checked. The skills CLI reports installs to skills.sh unless you set DISABLE_TELEMETRY=1.

npx skills@1.7.4 add brycewang-stanford/Auto-Empirical-Research-Skills --skill StatsPAI_skill

Agent Skills docs

Read SKILL.md first

Licence not identified

Licence

4.9k

Repo stars

Folder last changed

Publisher

Files

Checked

3 Nov 2026

What it can touch

From the files and frontmatter at commit bfa0a6e. This is how much a skill can do, not whether it is risky.

Changes agent settings
It writes to agent memory or settings files such as CLAUDE.md, AGENTS.md or .claude/settings.json.
README.md:125 (opens in a new tab) · README.md:128 (opens in a new tab) · README.md:312 (opens in a new tab) and 1 more
Runs shell commands
Its instructions or files give the agent commands to run on your computer.
Reaches the network
It sends or fetches data over the internet, for example with curl, an HTTP library or a package install.
Names web addresses
It mentions outside web addresses the agent may visit. We list them but don't follow them.
Outside links we did not follow

Pattern check

Pattern check: nothing flagged · commit bfa0a6e · 3 Nov 2026

We checked every text file in this skill, at commit bfa0a6e on 3 Nov 2026, against 45 published patterns such as download-and-run commands, hidden text and credential access. We don't run the skill, we don't read the web pages it points to, and we can't judge everything its instructions might lead an agent to do. In published tests, pattern checks like this one missed most malicious skills. Read the skill before you install it — especially anything it asks you to download or run.

How the check works Report an incorrect finding

Outside links we did not follow

https://github.com/brycewang-stanford/StatsPAI
https://doi.org/10.21105/joss.10604
https://github.com/microsoft/SkillOpt

Format check

Each agent reads SKILL.md a little differently. We check the file against each one's published rules; we don't run the skill in any agent.

Agent Skills specFails
The open format from agentskills.io, held to the strictest version of each rule among the agents we check.
- Error
  The name "StatsPAI_skill" has uppercase letters and underscores. Names may use only a–z, 0–9 and single hyphens. N3
  Fix: Use name: statspai-skill and rename the folder to match.
- Error
  The name "StatsPAI_skill" doesn't match its folder "00-Full-empirical-analysis-skill_StatsPAI". The spec requires them to match. N4
  Fix: Set name: 00-full-empirical-analysis-skill-statspai, or rename the folder to statspai-skill.
- Error
  The description is 2,086 characters; the limit is 1,024. D2
  Fix: Shorten it to 1,024 characters or fewer, and move detail into the body.
- Warning
  Fields outside the spec: triggers. Uploads to the Claude apps and API, and the spec's validator, reject the file; most agents ignore these fields. O1
  Fix: Delete them for a portable skill, or keep them if you only target the agents that read them.
- Warning
  The body is 2181 lines; the spec suggests under 500. B1
  Fix: Move detailed sections into reference files and link to them from SKILL.md.
- Warning
  The body is about 35,436 tokens (approx.); the spec suggests under 5,000. B2
  Fix: Move detail into reference files that the agent reads only when needed.
- Note
  The first sentence of the description is 999 characters. Agents shorten long descriptions, so lead with the main job. D8
  Fix: Start with one short sentence that names the job.
- Note
  There is no license field, so readers can't tell whether they may reuse the skill. O2
  Fix: Add license: with an SPDX name such as MIT or Apache-2.0, or the name of a bundled licence file.
Claude CodePasses with warnings
Claude Code reads its own extra fields, ignores unknown ones, and still loads a skill whose frontmatter is broken, without its fields.
- Warning
  The description comes to 2,086 characters; Claude Code's skill listing cuts each entry at 1,536. The listing keeps every skill's name, but past its budget (1% of the context window) Claude Code drops descriptions, starting with the skills used least. D5
  Fix: Put the key use case first, or move detail into the body.
- Note
  The name "StatsPAI_skill" doesn't match its folder "00-Full-empirical-analysis-skill_StatsPAI". Claude Code shows the skill as /StatsPAI_skill, and the folder name also invokes it. N4
  Fix: Set name: 00-full-empirical-analysis-skill-statspai, or rename the folder to statspai-skill.
- Note
  The first sentence of the description is 999 characters. Agents shorten long descriptions, so lead with the main job. D8
  Fix: Start with one short sentence that names the job.
- Note
  Claude Code ignores fields it doesn't know: triggers. O1
  Fix: Check the spelling against Claude Code's field list, or delete them.
- Note
  The body is 2181 lines; the spec suggests under 500. Claude Code's docs say the same. B1
  Fix: Move detailed sections into reference files and link to them from SKILL.md.
- Note
  The body is about 35,436 tokens (approx.); the spec suggests under 5,000. After compaction Claude Code keeps only the first 5,000 tokens of a skill. B2
  Fix: Move detail into reference files that the agent reads only when needed.
Claude apps & API uploadFails
Uploading to claude.ai or the Claude API, or packaging with Anthropic's script, accepts only the six spec fields and stops on anything else.
- Error
  The name "StatsPAI_skill" has uppercase letters and underscores. Anthropic's validator allows only lowercase letters, digits and hyphens. N3
  Fix: Use name: statspai-skill and rename the folder to match.
- Error
  The name "StatsPAI_skill" doesn't match its folder "00-Full-empirical-analysis-skill_StatsPAI". claude.ai refuses an upload whose folder name doesn't match the skill name. N4
  Fix: Set name: 00-full-empirical-analysis-skill-statspai, or rename the folder to statspai-skill.
- Error
  The description is 2,086 characters; the limit is 1,024. Anthropic's validator rejects it. D2
  Fix: Shorten it to 1,024 characters or fewer, and move detail into the body.
- Error
  Upload and packaging fail on fields outside the spec: triggers. O1
  Fix: Delete them, and keep your own data under metadata as text values.
- Note
  The body is 2181 lines; the spec suggests under 500. Anthropic's guidance says the same. B1
  Fix: Move detailed sections into reference files and link to them from SKILL.md.
- Note
  The body is about 35,436 tokens (approx.); the spec suggests under 5,000. Anthropic's guidance says the same. B2
  Fix: Move detail into reference files that the agent reads only when needed.
OpenAI (Codex & API)Fails
Codex finds SKILL.md by its exact name and needs a description; OpenAI's Skills API checks the frontmatter against the spec and caps uploads.
- Error
  The name "StatsPAI_skill" has uppercase letters and underscores. OpenAI's upload follows the spec, which allows only a–z, 0–9 and hyphens. N3
  Fix: Use name: statspai-skill and rename the folder to match.
- Error
  The description is 2,086 characters; the limit is 1,024. Codex has no limit, but OpenAI's upload follows the spec. D2
  Fix: Shorten it to 1,024 characters or fewer, and move detail into the body.
- Warning
  The name "StatsPAI_skill" doesn't match its folder "00-Full-empirical-analysis-skill_StatsPAI". OpenAI's own upload example uses a differently named folder, but the spec it follows says they must match. N4
  Fix: Set name: 00-full-empirical-analysis-skill-statspai, or rename the folder to statspai-skill.
- Warning
  Fields outside the spec: triggers. Codex ignores them; OpenAI doesn't say whether its upload accepts them. O1
  Fix: Delete them, or move your own data under metadata as text values.
- Note
  The first sentence of the description is 999 characters. Agents shorten long descriptions, so lead with the main job. D8
  Fix: Start with one short sentence that names the job.
VS Code & CopilotPasses with warnings
VS Code reads skills one folder below .github/skills, .claude/skills or .agents/skills and falls back to the folder name when the name is missing or differs; GitHub's Copilot docs require the exact name SKILL.md.
- Warning
  The name "StatsPAI_skill" has uppercase letters and underscores. VS Code uses the folder name whenever the name differs from it. N3
  Fix: Use name: statspai-skill and rename the folder to match.
- Warning
  The name "StatsPAI_skill" doesn't match its folder "00-Full-empirical-analysis-skill_StatsPAI". VS Code uses the folder name, 00-Full-empirical-analysis-skill_StatsPAI, instead. N4
  Fix: Set name: 00-full-empirical-analysis-skill-statspai, or rename the folder to statspai-skill.
- Warning
  The description is 2,086 characters; the limit is 1,024. VS Code cuts it at 1,024 characters. D2
  Fix: Shorten it to 1,024 characters or fewer, and move detail into the body.
- Note
  VS Code ignores fields it doesn't support: triggers. O1
  Fix: Delete them unless another agent you target reads them.

SKILL.md

We only show SKILL.md text here when its licence clearly allows it.

Read SKILL.md on GitHub

Files

2 files

Path	Size
README.md (opens in a new tab)	21.7 KB
SKILL.md (opens in a new tab)	144 KB

More from brycewang-stanford/Auto-Empirical-Research-Skills

Skill	What it can touch	Pattern check	Licence	Updated
a1VS-Enhanced Research Question Refiner - Prevents Mode Collapse and derives differentiated research questions Enhanced VS 3-Phase process: Modal question avoidance, alternatives presentation, differentiated RQ recommendation Use when: refining research ideas, formulating research questions, clarifying scope Triggers: research question, 연구 질문, PICO, SPIDER, research idea Instructions only Pattern check: Nothing flaggedNo licenceUpdated 2 Apr 2026	Instructions only	Pattern check: Nothing flagged	No licence	2 Apr 2026
a2VS-Enhanced Theoretical Framework Architect with Critique & Visualization Full VS 5-Phase process: Modal theory avoidance, Long-tail exploration, differentiated framework presentation Absorbed A3 (Devil's Advocate) critique and A6 (Conceptual Framework Visualizer) capabilities Use when: building theoretical foundations, designing conceptual models, deriving hypotheses, critiquing frameworks, visualizing models Triggers: theoretical framework, 이론적 프레임워크, conceptual model, 개념적 모형, hypothesis derivation, critique, devil's advocate, 반론, visualization, diagram Instructions only Pattern check: Nothing flaggedNo licenceUpdated 2 Apr 2026	Instructions only	Pattern check: Nothing flagged	No licence	2 Apr 2026
a5Agent A5 - Paradigm & Worldview Advisor - Philosophical foundations for research design. Covers ontology, epistemology, axiology, and methodology alignment. Use when: establishing philosophical foundations, justifying methodological choices, writing positionality statements Triggers: paradigm, 패러다임, ontology, epistemology, worldview, 세계관, philosophical foundations, 철학적 기초 Instructions only Pattern check: Nothing flaggedNo licenceUpdated 2 Apr 2026	Instructions only	Pattern check: Nothing flagged	No licence	2 Apr 2026
abstractReads the manuscript and notebooks to generate a structured abstract. Use when writing or updating the abstract. Runs shell commands +1 more Pattern check: 1 item to reviewNo licenceUpdated 2 Apr 2026	Runs shell commands Pre-approves tools	Pattern check: 1 item to review	No licence	2 Apr 2026
abstract-writing-guideCraft structured research abstracts that maximize clarity and journal acceptance Instructions only Pattern check: Nothing flaggedNo licenceUpdated 2 Apr 2026	Instructions only	Pattern check: Nothing flagged	No licence	2 Apr 2026
academic-baselineUse when working on any empirical academic research context — paper writing, data analysis, literature review, or any task involving citations, results, or publication artifacts. Establishes non-negotiable principles that govern all other superpapers skills. Instructions only Pattern check: Nothing flaggedNo licenceUpdated 3 Jun 2026	Instructions only	Pattern check: Nothing flagged	No licence	3 Jun 2026

All skills in brycewang-stanford/Auto-Empirical-Research-Skills

Other AI & ML engineering skills

Same category, most repo stars first.

Skill	What it can touch	Pattern check	Licence	Updated
agent-architecture-auditFull-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack. affaan-m/ECC Runs shell commands Pattern check: Nothing flaggedMITUpdated 11 Aug 2026	Runs shell commands	Pattern check: Nothing flagged	MIT	11 Aug 2026
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At a glance

What it can touch

Pattern check

Install

Claude Code

Claude apps

Codex

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Copilot & VS Code

Gemini CLI

Any agent

What it can touch

Pattern check

Outside links we did not follow

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SKILL.md

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