Borrowing it
Nothing to install: this file belongs to blueman82/ai-counsel. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/blueman82/ai-counsel/main/.claude/skills/config-schema-migrator/SKILL.mdgit clone --depth 1 https://github.com/blueman82/ai-counselWrote 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/blueman82/ai-counsel/config-schema-migrator)<a href="https://agentmods.dev/skills/blueman82/ai-counsel/config-schema-migrator"><img src="https://agentmods.dev/badge/skills/blueman82/ai-counsel/config-schema-migrator/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.
<a href="https://agentmods.dev/skills/blueman82/ai-counsel/config-schema-migrator"><img src="https://agentmods.dev/badge/skills/blueman82/ai-counsel/config-schema-migrator.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00020 | $0.04812 |
| Opus 5 | $0.00010 | $0.02406 |
| Sonnet 5 | $0.00004 | $0.00962 |
| Haiku 4.5 | $0.00002 | $0.00481 |
Grade A, and why
config-schema-migrator 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 10d 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 — 627 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Config Schema Migrator Skill
When to Use This Skill
Activate this skill when you need to:
- Evolve Pydantic configuration schemas (add fields, change types, restructure sections)
- Maintain backward compatibility with existing config files
- Write migration scripts to automate config updates
- Implement environment variable substitution in config fields
- Add deprecation warnings for old config patterns
- Validate config schemas with field validators
- Create discriminated unions for config type discrimination
Key Principles
- Backward Compatibility First: Never break existing configs without a migration path
- Deprecation Before Removal: Warn users before removing old config sections
- Automatic Migration: Provide scripts to automate config updates (don't force manual editing)
- Type Safety: Use Pydantic validators to catch config errors at load time
- Environment Variables: Support ${VAR_NAME} substitution for secrets
- Clear Messaging: Provide helpful error messages with migration instructions
Pattern 1: Adding New Config Sections with Backward Compatibility
Example: Adding adapters Section While Keeping cli_tools
Problem: You need to add a new config section (adapters) to replace an old one (cli_tools) without breaking existing configs.
Solution Pattern (from models/config.py):
from typing import Optional
from pydantic import BaseModel
import warnings
class Config(BaseModel):
"""Root configuration model."""
# New section (preferred)
adapters: Optional[dict[str, AdapterConfig]] = None
# Legacy section (deprecated)
cli_tools: Optional[dict[str, CLIToolConfig]] = None
def model_post_init(self, __context):
"""Post-initialization validation."""
# Ensure at least one section exists
if self.adapters is None and self.cli_tools is None:
raise ValueError(
"Configuration must include either 'adapters' or 'cli_tools' section"
)
# Emit deprecation warning for old section
if self.cli_tools is not None and self.adapters is None:
warnings.warn(
"The 'cli_tools' configuration section is deprecated. "
"Please migrate to 'adapters' section with explicit 'type' field. "
"See migration guide: docs/migration/cli_tools_to_adapters.md",
DeprecationWarning,
stacklevel=2,
)
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.
- 10d ago First seen · 627 lines · 20 tokens per session scan A 7131ac30cef0
config-schema-migrator is a skill published in the GitHub repository blueman82/ai-counsel (1 stars, last pushed 4mo ago), licensed MIT. It adds 20 tokens to every session and 4,812 once invoked, about $0.0001 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 2026-08-31.
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