Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
A skill your agent uses when implementing any endpoint, form handler, CLI tool, or function that accepts external input.
Install Input Validation And Sanitization
$ npx skills add aiming-lab/MetaClaw --skill input-validation-and-sanitization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiming-lab/MetaClaw input-validation-and-sanitization --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/aiming-lab/MetaClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/memory_data/skills/input-validation-and-sanitization .claude/skills/input-validation-and-sanitization && 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 "input-validation-and-sanitization" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/input-validation-and-sanitization into .claude/skills/input-validation-and-sanitization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "input-validation-and-sanitization", 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/aiming-lab/MetaClaw/tree/main/memory_data/skills/input-validation-and-sanitizationType 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 aiming-lab/MetaClaw --skill input-validation-and-sanitization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiming-lab/MetaClaw input-validation-and-sanitization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/memory_data/skills/input-validation-and-sanitization .agents/skills/input-validation-and-sanitization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "input-validation-and-sanitization" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/input-validation-and-sanitization into .agents/skills/input-validation-and-sanitization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "input-validation-and-sanitization", 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 aiming-lab/MetaClaw --skill input-validation-and-sanitization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiming-lab/MetaClaw input-validation-and-sanitization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/memory_data/skills/input-validation-and-sanitization .cursor/skills/input-validation-and-sanitization && 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 "input-validation-and-sanitization" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/input-validation-and-sanitization into .cursor/skills/input-validation-and-sanitization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "input-validation-and-sanitization", 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/aiming-lab/MetaClaw.git --path memory_data/skills/input-validation-and-sanitization--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 aiming-lab/MetaClaw --skill input-validation-and-sanitization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiming-lab/MetaClaw input-validation-and-sanitization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/memory_data/skills/input-validation-and-sanitization .gemini/skills/input-validation-and-sanitization && 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 "input-validation-and-sanitization" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/input-validation-and-sanitization into .gemini/skills/input-validation-and-sanitization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "input-validation-and-sanitization", 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 aiming-lab/MetaClaw input-validation-and-sanitizationInstalls 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 aiming-lab/MetaClaw --skill input-validation-and-sanitization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/memory_data/skills/input-validation-and-sanitization .github/skills/input-validation-and-sanitization && 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 "input-validation-and-sanitization" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/input-validation-and-sanitization into .github/skills/input-validation-and-sanitization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "input-validation-and-sanitization", 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 aiming-lab/MetaClaw --skill input-validation-and-sanitization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiming-lab/MetaClaw input-validation-and-sanitization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/memory_data/skills/input-validation-and-sanitization .opencode/skills/input-validation-and-sanitization && 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 "input-validation-and-sanitization" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/input-validation-and-sanitization into .opencode/skills/input-validation-and-sanitization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "input-validation-and-sanitization", 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
input-validation-and-sanitization- GitHub stars
- 3.5k
- Token cost
- ~251 tokens
- SKILL.md length
- 73 words
- Files
- 1
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when implementing any endpoint, form handler, CLI tool, or function that accepts external input.
- Implementing any endpoint
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Function that accepts external input
What it does
Input Validation And Sanitization is an agent skill from aiming-lab/MetaClaw. Use this skill when implementing any endpoint, form handler, CLI tool, or function that accepts external input. Validate and sanitize all untrusted data before processing — never assume input is safe.
Its SKILL.md is about 250 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. The repository describes itself as: 🦞 Just talk to your agent — it learns and EVOLVES 🧬. The licence is MIT.
When your agent uses it
- Implementing any endpoint
- Function that accepts external input
Example prompts
- “/input-validation-and-sanitization”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 922caf3. 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 (its code samples are 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
Input Validation And Sanitization loads about 251 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 73 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 aiming-lab/MetaClaw at commit 922caf3, republished under its MIT licence (© aiming-lab). 73 words, ~251 tokens.
Download SKILL.mdSave it as
.claude/skills/input-validation-and-sanitization/SKILL.md (or your agent's skills folder).- name
- input-validation-and-sanitization
- description
- Use this skill when implementing any endpoint, form handler, CLI tool, or function that accepts external input. Validate and sanitize all untrusted data before processing — never assume input is safe.
- category
- security
Input Validation and Sanitization
Validation principles:
- Validate at the system boundary (API layer, form handler) — not deep in business logic.
- Validate type, range, length, and format explicitly.
- Reject unexpected input by default (allowlist > denylist).
SQL injection prevention: Always use parameterized queries or an ORM.
XSS prevention: Escape HTML output; use Content-Security-Policy headers; avoid innerHTML with user data.
Path traversal prevention: Resolve paths to canonical form and verify they are under the expected directory.
import os
base = '/allowed/dir'
canonical = os.path.realpath(os.path.join(base, user_input))
assert canonical.startswith(base + os.sep)© aiming-lab, 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 memory_data/skills/input-validation-and-sanitization of aiming-lab/MetaClaw.
Open the folder on GitHubat commit 922caf3
Compare with similar skills
Input Validation And Sanitization 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 |
|---|---|---|---|---|---|---|
| Input Validation And Sanitization this skillaiming-lab/MetaClaw | 3.5k | — | ~251 | Automated safety check: Pass | MIT | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| Peft Fine TuningOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.8k | 13 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Input Validation And Sanitization
What does Input Validation And Sanitization do?
A skill your agent uses when implementing any endpoint, form handler, CLI tool, or function that accepts external input. Input Validation And Sanitization is an agent skill from aiming-lab/MetaClaw. Use this skill when implementing any endpoint, form handler, CLI tool, or function that accepts external input.
When should I use Input Validation And Sanitization?
Input Validation And Sanitization fits situations like: implementing any endpoint; function that accepts external input.
How do I install Input Validation And Sanitization in Claude Code?
Run `npx skills add aiming-lab/MetaClaw --skill input-validation-and-sanitization -a claude-code`. Or copy the skill folder (memory_data/skills/input-validation-and-sanitization in aiming-lab/MetaClaw) into .claude/skills/input-validation-and-sanitization in your project. Claude Code loads it when a task matches its description.
How do I install Input Validation And Sanitization in Codex?
Run `npx skills add aiming-lab/MetaClaw --skill input-validation-and-sanitization -a codex`. Or copy the skill folder (memory_data/skills/input-validation-and-sanitization in aiming-lab/MetaClaw) into .agents/skills/input-validation-and-sanitization in your project. Codex loads it when a task matches its description.
Can I use Input Validation And Sanitization 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 aiming-lab/MetaClaw --skill input-validation-and-sanitization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/input-validation-and-sanitization, .gemini/skills/input-validation-and-sanitization, .github/skills/input-validation-and-sanitization and .opencode/skills/input-validation-and-sanitization in your project.
What does Input Validation And Sanitization need to run?
SKILL.md names no scripts, command-line tools or credentials: Input Validation And Sanitization is instructions for the agent only. Our summary lists: Python 3.
Does Input Validation And Sanitization 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 Input Validation And Sanitization 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 Input Validation And Sanitization use?
Input Validation And Sanitization 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 Input Validation And Sanitization use?
About 251 tokens (SKILL.md is roughly 1k 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 Input Validation And Sanitization?
Skills that share tags, products or a category with Input Validation And Sanitization: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (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.
Who maintains Input Validation And Sanitization?
aiming-lab (a GitHub organization) maintains it in aiming-lab/MetaClaw, which has 3,459 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on June 7, 2026.
Source: aiming-lab/MetaClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.