language-baseline

language-baseline is a skill for Claude Code from catpilotai/catpilot-ai-guardrails. It costs 115 tokens per session (5,168 once invoked), scanned B, original, MIT.

Security guidance for preventing user-provided data from being treated as code or commands across different programming languages. It covers problems such as SQL injection, shell command injection, cross-site scripting, unsafe file paths, unsafe object loading, and server-side request forgery.

In plain words
What is it for?
Use it when reviewing code that handles user input, especially database queries, shell commands, web pages, filenames, serialized data, or requested URLs.
Why use it?
It helps developers spot common ways attackers can make an application run unintended database queries, commands, scripts, or file and network requests.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument; mentions Codex; built for openclaw.

Part of the catpilot-guardrails plugin — 25 skills shipped together

Good fit Use it when reviewing code that handles user input, especially database queries, shell commands, web pages, filenames, serialized data, or requested URLs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/catpilotai/catpilot-ai-guardrails/language-baseline
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add catpilotai/catpilot-ai-guardrails --skill language-baseline
Clone the repo
git clone --depth 1 https://github.com/catpilotai/catpilot-ai-guardrails

Made for: Claude Code.

Or install catpilot-guardrails, the plugin that ships this one along with the rest of its 25 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for language-baseline

README.md
[![agentmods](https://agentmods.dev/badge/skills/catpilotai/catpilot-ai-guardrails/language-baseline/github.svg)](https://agentmods.dev/skills/catpilotai/catpilot-ai-guardrails/language-baseline)
Your own site
<a href="https://agentmods.dev/skills/catpilotai/catpilot-ai-guardrails/language-baseline"><img src="https://agentmods.dev/badge/skills/catpilotai/catpilot-ai-guardrails/language-baseline/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for language-baseline

Your own site · 80×15
<a href="https://agentmods.dev/skills/catpilotai/catpilot-ai-guardrails/language-baseline"><img src="https://agentmods.dev/badge/skills/catpilotai/catpilot-ai-guardrails/language-baseline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,168 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 3 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00115 $0.05168
Opus 5.5 $0.00046 $0.02067
Sonnet 5.5 $0.00023 $0.01034
Haiku 4.5 $0.00012 $0.00517

Measured 1mo ago against content hash bb84f867f44b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

language-baseline scanned grade B with 3 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Cloud metadata endpointmediumServer-side request forgery

One request to 169.254.169.254 can return temporary IAM credentials.

fetches `http://169.254.169.254/latest/meta-data/` from the

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

`$(curl evil)` as a substitution. (Command injection — CWE-78.)

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

`subprocess.call(..., shell=True)`, and the shell treats
src/skills/core/language-baseline/SKILL.md · 571 lines

How it starts

The opening of the file, as written. The whole thing — 571 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Baseline

Applies when: Writing or committing code that builds SQL from non-literal values, runs a subprocess/shell with non-literal arguments, writes input into the DOM/HTML, resolves a filesystem path from input, deserializes untrusted data, executes a string as code, bypasses type-system checks, or issues an outbound HTTP request to an input-derived URL.

Always:

  • Route SQL values through driver parameter binding; never string concatenation, f-strings, template literals, or ORM raw-query helpers.
  • Run subprocesses with an argv array and no shell (shell=False); the command name is a literal or from an allowlist, never derived from input.
  • Write user-controlled values to the DOM/HTML only through escaping sinks (textContent, not innerHTML/document.write); sanitize with a vetted library when raw HTML is required.
  • Normalize input-derived filesystem paths: strip to basename, join against a known-safe directory, resolve symlinks, and reject anything outside that directory.
  • Deserialize untrusted data only with type-constrained formats (json.loads, yaml.safe_load); never pickle.loads, unsafe yaml.load, Marshal.load, ObjectInputStream, or unserialize.
  • Never execute a string as code (eval, new Function, setTimeout(stringArg)) or bypass type-system checks (as any, @ts-ignore) on external input.
  • Before an outbound HTTP request to an input-derived URL, check the host against an allowlist and reject internal/link-local IP ranges.

Never:

  • SQL built by string concatenation, f-strings, or template literals with non-literal values.
  • subprocess/exec/system invoked with a single shell-interpreted string containing non-literal elements.
  • innerHTML, document.write, dangerouslySetInnerHTML, or {{ x | safe }} fed with unsanitized user input.
  • pickle.loads, yaml.load/yaml.unsafe_load, Marshal.load, or unserialize on external data.
  • eval, new Function, or TypeScript as any/@ts-ignore used to bypass validation of external input.

Open the full component before acting: it has the examples, the remediation steps, and the detection patterns.

Read the full file on GitHub · 571 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed · +22 lines bb84f867f44b
  2. 2mo ago First seen · 549 lines · 115 tokens per session scan B 2739d0b76a92

Subscribe to this mod's changes

language-baseline is a skill published in the GitHub repository catpilotai/catpilot-ai-guardrails (2 stars, last pushed 8d ago), licensed MIT. It adds 115 tokens to every session and 5,168 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 3 findings (cloud metadata endpoint, makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

language-baseline compared with skills from other repositories

language-baseline next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
language-baselinecatpilotai/catpilot-ai-guardrailsSkill28d agoMITB115Claude Code
dcf-modelNousResearch/hermes-agentSkill262ktodayMITA14Claude Code, Codex
baoyu-article-illustratorNousResearch/hermes-agentSkill262ktodayMITA18Claude Code, Codex
flash-attentionNousResearch/hermes-agentSkill262ktodayMITA14Claude Code, Codex
subagent-driven-developmentNousResearch/hermes-agentSkill262ktodayMITA17Claude Code, Codex
mcporterNousResearch/hermes-agentSkill262ktodayMITA16Claude Code, Codex
mem0-vercel-ai-sdkmem0ai/mem0Skill69kyesterdayApache-2.0A146Claude Code, Codex