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.
npx agentmods add skills/aurite-ai/agent-verifier/verify-languagenpx skills add Aurite-ai/agent-verifier --skill verify-languagegit clone --depth 1 https://github.com/Aurite-ai/agent-verifierWrote 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.
[](https://agentmods.dev/skills/aurite-ai/agent-verifier/verify-language)<a href="https://agentmods.dev/skills/aurite-ai/agent-verifier/verify-language"><img src="https://agentmods.dev/badge/skills/aurite-ai/agent-verifier/verify-language.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00048 | $0.02482 |
| Opus 5 | $0.00024 | $0.01241 |
| Sonnet 5 | $0.00010 | $0.00496 |
| Haiku 4.5 | $0.00005 | $0.00248 |
Grade A, and why
verify-language scanned grade A with 0 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 5d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 451 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Language-Specific Verification
Purpose
Verify code against language-specific best practices and idioms for Python, TypeScript/JavaScript, and Go. All analysis happens locally.
When to Use
Trigger this skill when the user asks to:
- "verify agent language"
- "verify language"
- "check types"
- "check Python/TypeScript/Go code"
This skill is also auto-invoked by the main verification orchestrator based on detected language.
Note: For full verification including security, patterns, and quality checks, tell the user to say "verify agent".
Process
Step 1: Detect Language
Identify the primary language by checking:
| Indicator | Language |
|---|---|
pyproject.toml, requirements.txt, setup.py |
Python |
package.json, tsconfig.json |
TypeScript/JavaScript |
go.mod, go.sum |
Go |
Cargo.toml |
Rust |
Also check file extensions in src/ or project root:
.py→ Python.ts,.tsx,.js,.jsx→ TypeScript/JavaScript.go→ Go.rs→ Rust
Step 2: Run Language-Specific Checks
Apply checks based on detected language. Each section below is only applicable for its language.
Python Checks
[PATTERN] Type Hints on Public Functions
Flag any def function in public scope (no leading _) that has parameters without type annotations.
Examples:
# ⚠️ Warning - Missing type hints
def get_user(user_id):
return db.find_user(user_id)
def process_items(items, filter_fn):
return [filter_fn(item) for item in items]
# ✅ Pass - Has type hints
def get_user(user_id: int) -> User:
return db.find_user(user_id)
def process_items(items: list[Item], filter_fn: Callable[[Item], bool]) -> list[Item]:
return [filter_fn(item) for item in items]
Scope:
- Public functions (no leading
_) - Class methods (except
__init__can skip return type) - Module-level functions
Severity: ⚠️ Warning
[HEURISTIC] Docstrings
Check for missing docstrings:
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.
- 5d ago First seen · 451 lines · 48 tokens per session scan A 055b18ea27af
verify-language is a skill published in the GitHub repository Aurite-ai/agent-verifier (44 stars, last pushed 9d ago), licensed MIT. It adds 48 tokens to every session and 2,482 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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