Skill Auditor
aipoch/medical-research-skills
A comprehensive auditor for any agent skill — including Manus, OpenClaw/ClawHub, Claude, LobeHub, or custom SKILL.md-based skills.
A skill your agent uses when executing and stress-testing the empirical analysis for a Research Policy (RP) manuscript — building bibliometric/patent variables, running estimation or qualitative…
Install Respol Data Analysis
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill respol-data-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills respol-data-analysis --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/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Research-Policy-Skills/skills/respol-data-analysis .claude/skills/respol-data-analysis && 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 "respol-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Research-Policy-Skills/skills/respol-data-analysis into .claude/skills/respol-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respol-data-analysis", 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/Awesome-Journal-Skills/tree/main/Research-Policy-Skills/skills/respol-data-analysisType 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/Awesome-Journal-Skills --skill respol-data-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills respol-data-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Research-Policy-Skills/skills/respol-data-analysis .agents/skills/respol-data-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "respol-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Research-Policy-Skills/skills/respol-data-analysis into .agents/skills/respol-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respol-data-analysis", 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/Awesome-Journal-Skills --skill respol-data-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills respol-data-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Research-Policy-Skills/skills/respol-data-analysis .cursor/skills/respol-data-analysis && 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 "respol-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Research-Policy-Skills/skills/respol-data-analysis into .cursor/skills/respol-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respol-data-analysis", 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/Awesome-Journal-Skills.git --path Research-Policy-Skills/skills/respol-data-analysis--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/Awesome-Journal-Skills --skill respol-data-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills respol-data-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Research-Policy-Skills/skills/respol-data-analysis .gemini/skills/respol-data-analysis && 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 "respol-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Research-Policy-Skills/skills/respol-data-analysis into .gemini/skills/respol-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respol-data-analysis", 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/Awesome-Journal-Skills respol-data-analysisInstalls 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/Awesome-Journal-Skills --skill respol-data-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Research-Policy-Skills/skills/respol-data-analysis .github/skills/respol-data-analysis && 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 "respol-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Research-Policy-Skills/skills/respol-data-analysis into .github/skills/respol-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respol-data-analysis", 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/Awesome-Journal-Skills --skill respol-data-analysis -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/Awesome-Journal-Skills respol-data-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Research-Policy-Skills/skills/respol-data-analysis .opencode/skills/respol-data-analysis && 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 "respol-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Research-Policy-Skills/skills/respol-data-analysis into .opencode/skills/respol-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respol-data-analysis", 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
respol-data-analysis- GitHub stars
- 1.2k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 617 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when executing and stress-testing the empirical analysis for a Research Policy (RP) manuscript — building bibliometric/patent variables, running estimation or qualitative…
- Executing and stress-testing the empirical analysis for a Research Policy (RP) manuscript — building bibliometric/patent variables
- SKILL.md covers When to trigger, The Research Policy analysis bar, Building and modeling… and Execution bridge (StatsPAI /…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Running estimation
What it does
Respol Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when executing and stress-testing the empirical analysis for a Research Policy (RP) manuscript — building bibliometric/patent variables, running estimation or qualitative coding, and assembling robustness that an innovation-studies referee will accept. Executes the analysis; it does not choose the design (respol-methods) or present exhibits (respol-tables-figures).
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 Legal & Compliance, covering Intellectual property, Data analysis and Load testing. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Executing and stress-testing the empirical analysis for a Research Policy (RP) manuscript — building bibliometric/patent variables
- Running estimation
- Qualitative coding
- Assembling robustness that an innovation-studies referee will accept
Example prompts
- “/respol-data-analysis”
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. 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
Respol Data Analysis loads about 1.5k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 617 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 brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 617 words, ~1,470 tokens.
Download SKILL.mdSave it as
.claude/skills/respol-data-analysis/SKILL.md (or your agent's skills folder).- name
- respol-data-analysis
- description
- Use when executing and stress-testing the empirical analysis for a Research Policy (RP) manuscript — building bibliometric/patent variables, running estimation or qualitative coding, and assembling robustness that an innovation-studies referee will accept. Executes the analysis; it does not choose the design (respol-methods) or present exhibits (respol-tables-figures).
Data Analysis (respol-data-analysis)
When to trigger
- Patent/bibliometric variables are built but the construction steps are not documented or reproducible
- Headline results exist but robustness to alternative measures and specifications is thin
- A count outcome (patents, citations) is run with OLS instead of an appropriate count model
- Qualitative coding lacks a transparent coding scheme or inter-coder reliability
- A referee says results are "not robust," "driven by outliers/one sector," or "the data are a black box"
The Research Policy analysis bar
RP referees know innovation data intimately and distrust opaque pipelines. The two things they probe hardest are how the variables were built (especially patent/bibliometric ones) and whether the finding survives the obvious alternatives. Counts and skewed distributions are the norm in innovation data, so estimators must respect that; and because most RP indicators are noisy proxies, robustness is not optional decoration — it is how you show the innovation claim, not the measure's artifacts, drives the result.
Building and modeling innovation data
Variable construction (document everything)
- For patents/citations: record office, family definition, matching algorithm to firms/regions/inventors, name-disambiguation method, and truncation window. A referee should be able to rebuild the variable from the description plus the deposited code.
- For composite indicators (originality, generality, technological proximity): state the formula and the classification scheme (IPC/CPC) and version used.
- Flag and justify any sample restrictions (years, sectors, minimum patent counts) — selection on the dependent variable is a common RP rejection cause.
Estimation that fits innovation outcomes
- Patent/citation counts: Poisson/negative binomial (or fixed-effects Poisson / PPML) rather than logging-plus-OLS, which mishandles zeros and Jensen's inequality. Address over-dispersion and excess zeros explicitly.
- Skewed continuous outcomes: justify transformation and report level results.
- Panels: choose FE vs. RE on substantive grounds (Hausman is a guide, not a verdict) and cluster at the level of treatment/assignment; address few-cluster inference where relevant.
- Causal designs: report the diagnostics the design demands (pre-trends/event study for DID, first stage and weak-IV-robust inference for IV, density and bandwidth robustness for RDD).
Qualitative analysis
- Make the coding scheme explicit; report how codes became constructs; report inter-coder agreement where multiple coders; show a data-structure/evidence table linking quotes to constructs.
Show full SKILL.md (267 more words)Show less
Robustness that persuades RP
- Alternative measures of the key innovation construct (e.g., patent count vs. citation-weighted vs. family size).
- Alternative specifications, samples (drop dominant sector/period), and estimators.
- A direct test that the result is not an artifact of the indicator's known bias (e.g., truncation, propensity to patent).
Execution bridge (StatsPAI / Stata MCP)
Run the battery, don't just enumerate it. Full map:
execution-with-mcp. Research Policy is innovation studies — patent/firm panels with selection; foreground identification and the selection objection.
- Many outcomes / specifications:
romano_wolf(step-down FWER) orbenjamini_hochberg. - OVB sensitivity:
oster_delta/sensemakr. - Inference:
wild_cluster_bootstrap(few clusters),twoway_cluster/conley. - Re-fit off one handle:
audit_result(result_id)lists missing checks + the exactsuggest_functionfor each. - Exhibits:
etable/did_summary_to_latexfrom the handle — no retyped numbers.
Decisive checks in the body, exhaustive battery in the appendix. JF execution walkthrough.
Checklist
- Every patent/bibliometric variable is documented well enough to rebuild from the text + code
- Count outcomes use count models, not log-OLS hacks; zeros and over-dispersion handled
- Panel FE/RE and clustering choices are justified substantively
- Causal designs report their required diagnostics
- Qualitative coding scheme and reliability are transparent
- Robustness varies the key innovation measure, not just controls
- At least one check targets the indicator's known bias directly
- A reproducibility package (data sources + code) is assembled or planned
Anti-patterns
- A patent-variable "black box" no referee could reconstruct
- Logging patent counts and running OLS instead of a count model
- Robustness that only adds controls and never varies the innovation measure
- Selecting the sample on the outcome (only patenting firms) without addressing it
- Qualitative findings with no visible coding scheme or evidence table
- Reporting only the specification that "works"
Output format
【Journal】Research Policy
【Skill】respol-data-analysis
【Variable build】patent/bibliometric construction documented? [Y/N]
【Estimator】count/panel/causal choice + why it fits the outcome
【Diagnostics】design-required checks reported
【Robustness】alternative measures + specs + bias-targeted check
【Reproducibility】data sources + code package status
【Verdict】pass / revise / reroute
【Next skill】respol-contribution-framing© brycewang-stanford, 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 Research-Policy-Skills/skills/respol-data-analysis of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Respol Data Analysis 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 |
|---|---|---|---|---|---|---|
| Respol Data Analysis this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Skill Auditoraipoch/medical-research-skills | 2k | — | ~6.9k | Automated safety check: Pass | MIT | |
| Protocol Deviation Classifieraipoch/medical-research-skills | 2k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Mechanical Engineering Researchccplugins/awesome-claude-code-plugins | 968 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Amr Data Analysisfranklee16/academic-research-skills | 223 | 1 repos | ~1.5k | Automated safety check: Pass | None | |
| Amr Theory Developmentfranklee16/academic-research-skills | 223 | 1 repos | ~1.4k | Automated safety check: Pass | None |
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Questions about Respol Data Analysis
What does Respol Data Analysis do?
A skill your agent uses when executing and stress-testing the empirical analysis for a Research Policy (RP) manuscript — building bibliometric/patent variables, running estimation or qualitative…. Respol Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when executing and stress-testing the empirical analysis for a Research Policy (RP) manuscript — building bibliometric/patent variables, running estimation or qualitative coding, and assembling robustness that an innovation-studies referee will accept.
When should I use Respol Data Analysis?
Respol Data Analysis fits situations like: executing and stress-testing the empirical analysis for a Research Policy (RP) manuscript — building bibliometric/patent variables; running estimation; qualitative coding; assembling robustness that an innovation-studies referee will accept.
How do I install Respol Data Analysis in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill respol-data-analysis -a claude-code`. Or copy the skill folder (Research-Policy-Skills/skills/respol-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/respol-data-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Respol Data Analysis in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill respol-data-analysis -a codex`. Or copy the skill folder (Research-Policy-Skills/skills/respol-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/respol-data-analysis in your project. Codex loads it when a task matches its description.
Can I use Respol Data Analysis 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 brycewang-stanford/Awesome-Journal-Skills --skill respol-data-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/respol-data-analysis, .gemini/skills/respol-data-analysis, .github/skills/respol-data-analysis and .opencode/skills/respol-data-analysis in your project.
What does Respol Data Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Respol Data Analysis is instructions for the agent only.
Does Respol Data Analysis 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 Respol Data Analysis 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 Respol Data Analysis use?
Respol Data Analysis 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 Respol Data Analysis use?
About 1.5k tokens (SKILL.md is roughly 5.9k 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 Respol Data Analysis?
Skills that share tags, products or a category with Respol Data Analysis: Skill Auditor (aipoch/medical-research-skills, 2k stars), Protocol Deviation Classifier (aipoch/medical-research-skills, 2k stars), Mechanical Engineering Research (ccplugins/awesome-claude-code-plugins, 968 stars) and Amr Data Analysis (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Respol Data Analysis?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.