Audit how an empirical write-up presents its analytical choices, and detect the rhetorical moves that convert a specification search into an apparently confirmatory finding.

Custom licenceAuto-check passed

Install Narrative Laundering

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill narrative-laundering -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills narrative-laundering --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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/05-narrative-laundering .claude/skills/narrative-laundering && rm -rf skills-src

Use ~/.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/

Facts

Skill name
narrative-laundering
GitHub stars
4.6k
Token cost
~1.7k tokens
SKILL.md length
871 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Audit how an empirical write-up presents its analytical choices, and detect the rhetorical moves that convert a specification search into an apparently confirmatory finding.

  • Reviewing a paper
  • SKILL.md covers The moves, Disclosure that actually works and Automated scan
  • Calls python
  • An agent-produced report for undisclosed search

What it does

Narrative Laundering is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Audit how an empirical write-up presents its analytical choices, and detect the rhetorical moves that convert a specification search into an apparently confirmatory finding. Covers HARKing, robustness theatre, selective disclosure, the vanishing pilot study, and estimator-choice narratives. Use when reviewing a paper or an agent-produced report for undisclosed search, refereeing an empirical manuscript, or scoring whether an agent disclosed the specification search it actually ran.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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…

When your agent uses it

  • Reviewing a paper
  • An agent-produced report for undisclosed search
  • Refereeing an empirical manuscript
  • Scoring whether an agent disclosed the specification search it actually ran

Example prompts

  • “/narrative-laundering”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. 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

    Shell commands in SKILL.md call:

    • python

    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

Narrative Laundering loads about 1.7k tokens when it runs. Until then it costs about 127 tokens; SKILL.md has 871 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~127
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 871 words (~1,661 tokens).

“The statistics of p-hacking are only half of it. A searched result reaches print because the write-up makes the search invisible. These are the moves, and the questions that expose each one.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
narrative-laundering

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/73-brycewang-p-hacking-skills/skills/05-narrative-laundering of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Narrative Laundering 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.

Narrative Laundering compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Narrative Laundering this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~1.7kAutomated safety check: PassCustom licence
Presentationsasgeirtj/system_prompts_leaks69k—~858Automated safety check: PassCC0-1.0
Analytics Trackingalirezarezvani/claude-skills28k1 repos~3.8kAutomated safety check: PassMIT
Analyticsgetsentry/sentry46k—~2.5kAutomated safety check: PassCustom licence
PresentationRightNow-AI/openfang18k—~829Automated safety check: PassApache-2.0
Debugging MCP AnalyticsPostHog/posthog40k—~7.6kAutomated safety check: PassCustom licence

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Questions about Narrative Laundering

What does Narrative Laundering do?

Audit how an empirical write-up presents its analytical choices, and detect the rhetorical moves that convert a specification search into an apparently confirmatory finding. Narrative Laundering is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Audit how an empirical write-up presents its analytical choices, and detect the rhetorical moves that convert a specification search into an apparently confirmatory finding.

When should I use Narrative Laundering?

Narrative Laundering fits situations like: reviewing a paper; an agent-produced report for undisclosed search; refereeing an empirical manuscript; scoring whether an agent disclosed the specification search it actually ran.

How do I install Narrative Laundering in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill narrative-laundering -a claude-code`. Or copy the skill folder (skills/73-brycewang-p-hacking-skills/skills/05-narrative-laundering in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/narrative-laundering in your project. Claude Code loads it when a task matches its description.

How do I install Narrative Laundering in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill narrative-laundering -a codex`. Or copy the skill folder (skills/73-brycewang-p-hacking-skills/skills/05-narrative-laundering in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/narrative-laundering in your project. Codex loads it when a task matches its description.

Can I use Narrative Laundering 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/Auto-Empirical-Research-Skills --skill narrative-laundering -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/narrative-laundering, .gemini/skills/narrative-laundering, .github/skills/narrative-laundering and .opencode/skills/narrative-laundering in your project.

What does Narrative Laundering need to run?

Going by SKILL.md and its folder, Narrative Laundering needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Narrative Laundering 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 Narrative Laundering 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 Narrative Laundering use?

Narrative Laundering has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Narrative Laundering use?

About 1.7k tokens (SKILL.md is roughly 6.6k 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 Narrative Laundering?

Skills that share tags, products or a category with Narrative Laundering: Presentations (asgeirtj/system_prompts_leaks, 69k stars), Analytics Tracking (alirezarezvani/claude-skills, 28k stars), Analytics (getsentry/sentry, 46k stars) and Presentation (RightNow-AI/openfang, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Narrative Laundering?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 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.