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Agent skill

File Search

by aipoch in aipoch/medical-research-skills

Perform fast file name and content searches with ripgrep (rg); use it when you need to locate files by glob/regex, find keywords across directories, or replace common find/grep workflows.

MITAuto-check passed

Install File Search

skills CLI
$ npx skills add aipoch/medical-research-skills --skill file-search -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills file-search --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/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/scientific-skills/Other/file-search .claude/skills/file-search && 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
file-search
GitHub stars
2k
Token cost
~1.4k tokens
SKILL.md length
665 words
Files
4 (incl. scripts, references)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Perform fast file name and content searches with ripgrep (rg); use it when you need to locate files by glob/regex, find keywords across directories, or replace common find/grep workflows.

  • Works in 4 steps: Validate the request against the skill… → Select the documented execution path and… → Produce the expected output using the… → …
  • You need to locate files by glob/regex
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 11 more sections
  • Runs Python scripts from its folder; calls rg and python

What it does

File Search is an agent skill from aipoch/medical-research-skills. Perform fast file name and content searches with ripgrep (rg); use it when you need to locate files by glob/regex, find keywords across directories, or replace common find/grep workflows.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `file-search_audit_result_v2.json`, `references/quick-reference.md` and `scripts/validate_skill.py`).

It works with Rust. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • You need to locate files by glob/regex
  • Find keywords across directories
  • Replace common find/grep workflows

Example prompts

  • “/file-search”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Validate the request against the skill boundary and confirm all required inputs are present.
  2. Select the documented execution path and prefer the simplest supported command or procedure.
  3. Produce the expected output using the documented file format, schema, or narrative structure.
  4. Run a final validation pass for completeness, consistency, and safety before returning the result.

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • rg
    • 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

File Search loads about 1.4k tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 665 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.6k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 665 words, ~1,448 tokens.

Download SKILL.mdSave it as .claude/skills/file-search/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
file-search
description
Perform fast file name and content searches with ripgrep (rg); use it when you need to locate files by glob/regex, find keywords across directories, or replace common find/grep workflows.
license
MIT
author
AIPOCH

Source: https://github.com/aipoch/medical-research-skills

When to Use

  • You need to list files matching a pattern (e.g., *.rs, *.md) across a project quickly.
  • You want to find occurrences of a keyword/regex (e.g., TODO|FIXME) across one or more directories.
  • You need contextual matches (lines before/after) to understand how a symbol or string is used.
  • You want a faster, simpler replacement for typical find + grep pipelines.
  • You need to narrow searches by file type (e.g., Rust-only) while scanning large repositories.

Key Features

  • File name discovery via rg --files combined with --glob filters.
  • Content search using regex patterns with high performance.
  • Context output around matches (e.g., -C 3) for quick inspection.
  • Optional type filtering (e.g., --type rust) to reduce noise.
  • Simple pre-check workflow to ensure rg is available before running searches.

Dependencies

  • ripgrep (rg) >= 13.0.0
  • Python >= 3.8 (only required to run scripts/test_skill.py)

Example Usage

bash
# 1) Pre-check: ensure ripgrep is installed
rg --version

# 2) (Optional) Run the skill self-check script
python scripts/test_skill.py

# 3) Search by file name (list Rust files under a directory)
rg --files --glob "*.rs" /path/to/projects

# 4) Search by content (regex search across a directory)
rg "TODO|FIXME" /path/to/projects

# 5) Search by content with context and type filtering
rg -C 3 "fn main" /path/to/projects --type rust

Implementation Details

  • File name search: uses rg --files to enumerate files, then applies --glob to include/exclude paths (e.g., --glob "*.rs").
  • Content search: rg PATTERN PATH performs a regex search; patterns like TODO|FIXME use alternation.
  • Context control: -C N prints N lines of leading and trailing context around each match to aid quick review.
  • Type filtering: --type <name> restricts scanning to known file type definitions (e.g., rust), reducing irrelevant matches.
  • Pre-check behavior: if rg is not available, prompt to install ripgrep before proceeding with any search commands.

When Not to Use

  • Do not use this skill when the required source data, identifiers, files, or credentials are missing.
  • Do not use this skill when the user asks for fabricated results, unsupported claims, or out-of-scope conclusions.
  • Do not use this skill when a simpler direct answer is more appropriate than the documented workflow.

Required Inputs

  • A clearly specified task goal aligned with the documented scope.
  • All required files, identifiers, parameters, or environment variables before execution.
  • Any domain constraints, formatting requirements, and expected output destination if applicable.
  1. Validate the request against the skill boundary and confirm all required inputs are present.
  2. Select the documented execution path and prefer the simplest supported command or procedure.
  3. Produce the expected output using the documented file format, schema, or narrative structure.
  4. Run a final validation pass for completeness, consistency, and safety before returning the result.

Deterministic Output Rules

  • Use the same section order for every supported request of this skill.
  • Keep output field names stable and do not rename documented keys across examples.
  • If a value is unavailable, emit an explicit placeholder instead of omitting the field.
Show full SKILL.md (252 more words)Show less

Output Contract

  • Return a structured deliverable that is directly usable without reformatting.
  • If a file is produced, prefer a deterministic output name such as file_search_result.md unless the skill documentation defines a better convention.
  • Include a short validation summary describing what was checked, what assumptions were made, and any remaining limitations.

Validation and Safety Rules

  • Validate required inputs before execution and stop early when mandatory fields or files are missing.
  • Do not fabricate measurements, references, findings, or conclusions that are not supported by the provided source material.
  • Emit a clear warning when credentials, privacy constraints, safety boundaries, or unsupported requests affect the result.
  • Keep the output safe, reproducible, and within the documented scope at all times.

Failure Handling

  • If validation fails, explain the exact missing field, file, or parameter and show the minimum fix required.
  • If an external dependency or script fails, surface the command path, likely cause, and the next recovery step.
  • If partial output is returned, label it clearly and identify which checks could not be completed.

Completion Checklist

  • Confirm all required inputs were present and valid.
  • Confirm the supported execution path completed without unresolved errors.
  • Confirm the final deliverable matches the documented format exactly.
  • Confirm assumptions, limitations, and warnings are surfaced explicitly.

Quick Validation

Run this minimal verification path before full execution when possible:

text
No local script validation step is required for this skill.

Expected output format:

text
Result file: file_search_result.md
Validation summary: PASS/FAIL with brief notes
Assumptions: explicit list if any

Scope Reminder

  • Core purpose: Perform fast file name and content searches with ripgrep (rg); use it when you need to locate files by glob/regex, find keywords across directories, or replace common find/grep workflows.

© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in scientific-skills/Other/file-search of aipoch/medical-research-skills.

  • SKILL.md
  • file-search_audit_result_v2.json
  • references/quick-reference.md
  • scripts/validate_skill.py

Open the folder on GitHubat commit 686e09d

Compare with similar skills

File Search 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.

File Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
File Search this skillaipoch/medical-research-skills2k—~1.4kAutomated safety check: PassMIT
Update V8 Versionopeninterpreter/openinterpreter69k2 repos~845Automated safety check: PassApache-2.0
Firecrawl Page Scrape Integrationfirecrawl/firecrawl190k1 repos~944Automated safety check: PassISC
Migrate Core Code to Submodulestinyhumansai/openhuman42k—~2.6kAutomated safety check: PassGPL-3.0
Rust TDD Workflowrtk-ai/rtk83k—~753Automated safety check: NotesApache-2.0
OpenLogi macOS Permissions TriageAprilNEA/OpenLogi23k—~2.5kAutomated safety check: NotesApache-2.0

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Works with

Questions about File Search

What does File Search do?

Perform fast file name and content searches with ripgrep (rg); use it when you need to locate files by glob/regex, find keywords across directories, or replace common find/grep workflows. File Search is an agent skill from aipoch/medical-research-skills. Perform fast file name and content searches with ripgrep (rg); use it when you need to locate files by glob/regex, find keywords across directories, or replace common find/grep workflows.

When should I use File Search?

File Search fits situations like: you need to locate files by glob/regex; find keywords across directories; replace common find/grep workflows.

How do I install File Search in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill file-search -a claude-code`. Or copy the skill folder (scientific-skills/Other/file-search in aipoch/medical-research-skills) into .claude/skills/file-search in your project. Claude Code loads it when a task matches its description.

How do I install File Search in Codex?

Run `npx skills add aipoch/medical-research-skills --skill file-search -a codex`. Or copy the skill folder (scientific-skills/Other/file-search in aipoch/medical-research-skills) into .agents/skills/file-search in your project. Codex loads it when a task matches its description.

Can I use File Search 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 aipoch/medical-research-skills --skill file-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/file-search, .gemini/skills/file-search, .github/skills/file-search and .opencode/skills/file-search in your project.

What does File Search need to run?

Going by SKILL.md and its folder, File Search needs Python for the scripts in its folder and the command-line tools its instructions call (rg and python). Our summary lists: Python 3.

Does File Search 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 File Search 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does File Search use?

File Search is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does File Search use?

About 1.4k tokens (SKILL.md is roughly 5.8k 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 144 tokens, read only when the agent opens those files.

What are the alternatives to File Search?

Skills that share tags, products or a category with File Search: Update V8 Version (openinterpreter/openinterpreter, 69k stars), Firecrawl Page Scrape Integration (firecrawl/firecrawl, 190k stars), Migrate Core Code to Submodules (tinyhumansai/openhuman, 42k stars) and Rust TDD Workflow (rtk-ai/rtk, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains File Search?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,978 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-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.