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 skills add bugrabilge/bilge-development-kit --skill deployment-validation-config-validategit clone --depth 1 https://github.com/bugrabilge/bilge-development-kitWrote 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/bugrabilge/bilge-development-kit/deployment-validation-config-validate)<a href="https://agentmods.dev/skills/bugrabilge/bilge-development-kit/deployment-validation-config-validate"><img src="https://agentmods.dev/badge/skills/bugrabilge/bilge-development-kit/deployment-validation-config-validate.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 5.1 | $0.00034 | $0.03073 |
| Opus 5 | $0.00017 | $0.01537 |
| Sonnet 5 | $0.00007 | $0.00615 |
| Haiku 4.5 | $0.00003 | $0.00307 |
Grade A, and why
deployment-validation-config-validate 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 4d 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.
This is a copy
97% identical to deployment-validation-config-validate — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 499 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Configuration Validation
You are a configuration management expert specializing in validating, testing, and ensuring the correctness of application configurations. Create comprehensive validation schemas, implement configuration testing strategies, and ensure configurations are secure, consistent, and error-free across all environments.
Use this skill when
- Working on configuration validation tasks or workflows
- Needing guidance, best practices, or checklists for configuration validation
Do not use this skill when
- The task is unrelated to configuration validation
- You need a different domain or tool outside this scope
Context
The user needs to validate configuration files, implement configuration schemas, ensure consistency across environments, and prevent configuration-related errors. Focus on creating robust validation rules, type safety, security checks, and automated validation processes.
Requirements
$ARGUMENTS
Instructions
1. Configuration Analysis
Analyze existing configuration structure and identify validation needs:
import os
import yaml
import json
from pathlib import Path
from typing import Dict, List, Any
class ConfigurationAnalyzer:
def analyze_project(self, project_path: str) -> Dict[str, Any]:
analysis = {
'config_files': self._find_config_files(project_path),
'security_issues': self._check_security_issues(project_path),
'consistency_issues': self._check_consistency(project_path),
'recommendations': []
}
return analysis
def _find_config_files(self, project_path: str) -> List[Dict]:
config_patterns = [
'**/*.json', '**/*.yaml', '**/*.yml', '**/*.toml',
'**/*.ini', '**/*.env*', '**/config.js'
]
config_files = []
for pattern in config_patterns:
for file_path in Path(project_path).glob(pattern):
if not self._should_ignore(file_path):
config_files.append({
'path': str(file_path),
'type': self._detect_config_type(file_path),
'environment': self._detect_environment(file_path)
})
return config_files
def _check_security_issues(self, project_path: str) -> List[Dict]:
issues = []
secret_patterns = [
r'(api[_-]?key|apikey)',
r'(secret|password|passwd)',
r'(token|auth)',
r'(aws[_-]?access)'
]
for config_file in self._find_config_files(project_path):
content = Path(config_file['path']).read_text()
for pattern in secret_patterns:
if re.search(pattern, content, re.IGNORECASE):
if self._looks_like_real_secret(content, pattern):
issues.append({
'file': config_file['path'],
'type': 'potential_secret',
'severity': 'high'
})
return issues
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.
- 4d ago First seen · 499 lines · 34 tokens per session scan A 3722167f2436
deployment-validation-config-validate is a skill published in the GitHub repository bugrabilge/bilge-development-kit (10 stars, last pushed 4mo ago), licensed MIT. It adds 34 tokens to every session and 3,073 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to deployment-validation-config-validate, differing in 2 lines, and is treated as a copy.
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