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Model Registry Maintainer · microck | DecimalAI

codingby microck

Model Registry Maintainer

microck/model-registry-maintainer

Source microck/ordinary-claude-skills ↗License NOASSERTION

Guide for maintaining the MassGen model and backend registry. This skill should be used when adding new models, updating model information (release dates, pricing, context windows), or ensuring the registry stays current with provider releases. Covers both the capabilities registry and the pricing/token manager.

SkillScore100Maintained

Automatic

AI Engineer pack

Last verified 8/21/2026

What it changes

Passed 23 of 23 test cases with the skill, and 11 of 23 without it.

Without skill48%

With skill100%

Checks it passed that the model alone missed

Explains that only token manager file needs updating.
Specifies using the year-month string format YYYY-MM.
Specifies using the capitalized provider key 'Google'.

and 16 more in the full report

12 fixed11 passed either way0 still failing0 broke

Pass-rate lift: +52 pp
Tokens: +242%
Agent turns: 0%
Response time: -47%

Model gemini-3.6-flashMeasured 8/21/2026v123 of 23 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/microck-model-registry-maintainer/SKILL.md https://app.decimal.ai/s/microck-model-registry-maintainer/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add microck-model-registry-maintainer, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/microck-model-registry-maintainer/ and pins it in .decimal/skills.lock

decimalai skills add microck-model-registry-maintainer

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/microck-model-registry-maintainer/SKILL.md https://app.decimal.ai/s/microck-model-registry-maintainer/SKILL.md

Raw file: /s/microck-model-registry-maintainer/SKILL.md ↗ · machine-readable summary at /s/microck-model-registry-maintainer.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 12

Prompt

Where is the automated model pricing update script located in MassGen, and what external JSON database source does it pull model pricing from?

What was checked, without and with the skill
Checked	Without skill	With skill
Identifies the script path scripts/update_model_pricing.py.	Missed	Passed
Specifies fetching model data from LiteLLM's raw GitHub repository JSON URL.	Passed	Passed

case-16 · gemini-3.6-flash · 8/21/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md478 linessingle file

Model Registry Maintainer

This skill provides guidance for maintaining MassGen's model registry across two key files:

massgen/backend/capabilities.py - Models, capabilities, release dates
massgen/token_manager/token_manager.py - Pricing, context windows

When to Use This Skill

New model released by a provider
Model pricing changes
Context window limits updated
Model capabilities changed
New provider/backend added

Two Files to Maintain

File 1: capabilities.py (Models & Features)

What it contains:

List of available models per provider
Model capabilities (web search, code execution, vision, etc.)
Release dates
Default models

Used by:

Config builder (--quickstart, --generate-config)
Documentation generation
Backend validation

Always update this file for new models.

File 2: token_manager.py (Pricing & Limits)

What it contains:

Hardcoded pricing/context windows for models NOT in LiteLLM database
On-demand loading from LiteLLM database (500+ models)

Used by:

Cost estimation

Track record

Benchmark

23 / 23

test cases passed, vs 11 / 23 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

microck / ordinary-claude-skills

skills_all/model-registry-maintainer/SKILL.md

View on GitHub ↗

License NOASSERTIONImported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

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See it in action

What's inside

Model Registry Maintainer

When to Use This Skill

Two Files to Maintain

File 1: capabilities.py (Models & Features)

File 2: token_manager.py (Pricing & Limits)

Track record

Benchmark

Adoption

SkillSafety

Source

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