aitask-refresh-code-models

name	aitask-refresh-code-models
description	Research latest AI code agent models via web and update models_*.json configuration files.

Workflow

Step 1: Read Current Model Configurations

Read all model config files and the project defaults:

1. Use Glob to find all aitasks/metadata/models_*.json files
2. Read each file to get the current model list per agent
3. Read aitasks/metadata/codeagent_config.json to identify which models are configured as defaults for each operation (these will be marked "IN USE" in the change report)

Extract the agent name from each filename: models_claudecode.json → claudecode, models_codex.json → codex, etc.

Step 2: Select Agents to Update

Present the discovered agents to the user for selection.

Use AskUserQuestion (multiSelect):

• Question: "Which code agents do you want to refresh models for?"
• Header: "Agents"
• Options:
  • "All agents" (description: "Refresh models for all discovered agents")
  • One option per discovered agent (label: agent name, description: "N models currently configured")

If "All agents" is selected, process all discovered agents. Otherwise, process only the selected agents.

Step 3: Research Latest Models

Process each selected agent sequentially. For each agent:

1. WebSearch with a targeted query based on the agent (see Research Queries below)
2. WebFetch on the canonical documentation URLs listed in the Research URLs section
3. Extract from the results:
   • Model display names
   • CLI model IDs (the exact string passed to --model or -m flag)
   • Brief descriptions and capability notes
   • Release status (stable, preview, deprecated)
4. Focus on models suitable for coding and agentic tasks only — skip embedding models, vision-only models, audio models, etc.

If a WebFetch URL fails (404, redirect to different content), fall back to WebSearch results. If WebSearch also returns no relevant results for an agent, report "No updates found for <agent>" and continue to the next agent.

OpenCode special handling: OpenCode models are discovered exclusively via CLI — web research is NOT used. If opencode is selected:

1. Check if the opencode binary is available: command -v opencode
2. If available, run the discovery script directly: bash .aitask-scripts/aitask_opencode_models.sh
3. The script handles all discovery, merging, and updating of aitasks/metadata/models_opencode.json
4. Models no longer available from connected providers are marked "status": "unavailable" (never deleted, verified scores preserved)
5. If opencode is NOT installed, inform the user: "OpenCode binary not found — cannot refresh OpenCode models. Install OpenCode first." and skip OpenCode.

Research Queries

Use generic terms — do NOT hardcode year references:

• Claude: "Anthropic Claude models API model IDs latest"
• Codex: "OpenAI Codex CLI models latest"
• OpenCode: Uses CLI discovery only (see below) — web research is NOT used for OpenCode

Step 4: Compare Current vs. Discovered

For each selected agent, compare the current models_*.json content against the web research results. Categorize each model:

• NEW: Discovered in web research but not present in current config (match by cli_id). Generate:

  • name: following the naming convention (see Model Naming Convention below)
  • cli_id: exact API/CLI model ID from documentation
  • notes: brief description from documentation
  • verified: { "pick": 0, "explain": 0, "batch-review": 0 }
  • verifiedstats: {}

• UPDATED: Model exists in config but notes/status changed significantly (e.g., moved from preview to stable, description updated). Propose updated notes field.

• DEPRECATED?: Model exists in config but was NOT found in current documentation. Flag as potentially deprecated — do NOT automatically remove.

• UNCHANGED: Model exists in both config and documentation with no significant changes.

Step 5: Present Changes to User

Display a structured change report. For each selected agent:

### <Agent Name>
- NEW: <cli_id> (<proposed_name>) — "<notes>"
- UPDATED: <cli_id> (<name>) — notes changed: "<old>" → "<new>"
- DEPRECATED?: <cli_id> (<name>) — not found in current docs
- UNCHANGED: <cli_id> (<name>) [IN USE: pick, explain]

Mark models as [IN USE: <operations>] if they appear in codeagent_config.json defaults.

If no changes were found for any agent, inform the user and end the workflow.

Use AskUserQuestion:

• Question: "Review the model update report above. How would you like to proceed?"
• Header: "Update"
• Options:
  • "Apply all changes" (description: "Add new models and update changed notes. Do not remove deprecated.")
  • "Apply selectively" (description: "Choose which changes to apply per agent")
  • "Apply and remove deprecated" (description: "Add new, update changed, AND remove deprecated models")
  • "Abort" (description: "No changes will be made")

If "Apply selectively": For each agent that has changes, use AskUserQuestion (multiSelect) to let the user pick which specific changes to apply.

If "Abort": End the workflow.

Step 6: Update JSON Files

For each agent with approved changes:

1. Read the current aitasks/metadata/models_<agent>.json
2. Apply the approved changes:
   • Add new models: Append to the models array
   • Update notes: Modify the notes field for updated models
   • Remove deprecated (only if explicitly approved): Remove from the array
3. Preserve all existing verified scores and verifiedstats data for unchanged and updated models
4. Write the updated JSON back to aitasks/metadata/models_<agent>.json
   • Maintain 2-space indentation
   • Maintain field ordering used by the existing file when possible; current files may include status, verified, and verifiedstats

For new models, initialize both verified and verifiedstats even if no feedback has been recorded yet.

Seed sync (conditional):

• Check if the seed/ directory exists in the repository root
• If it exists, copy each updated models_<agent>.json to seed/models_<agent>.json
• If seed/ does not exist, skip this step

Step 7: Verify Research URLs

After updating model files, verify that the research URLs listed in this SKILL.md are still reachable.

For each URL in the Research URLs section:

• Use WebFetch with prompt: "Is this page accessible? Return the page title and a one-line summary."
• If a URL returns an error (404, connection failure, or redirects to unrelated content):
  • Report to the user: "Research URL <url> appears to be broken or has changed. Consider updating the SKILL.md."

This step is informational only — do not automatically edit the SKILL.md. The user should manually review and update URLs if needed.

Step 8: Commit

Stage and commit the changes using the appropriate git commands:

Metadata files (task data branch):

./ait git add aitasks/metadata/models_claudecode.json aitasks/metadata/models_codex.json aitasks/metadata/models_opencode.json
./ait git commit -m "ait: Refresh code agent model configurations"

Only include files that were actually modified — skip unchanged agent files.

Seed files (main branch, only if seed/ exists and files were updated):

git add seed/models_claudecode.json seed/models_codex.json seed/models_opencode.json
git commit -m "ait: Sync refreshed models to seed templates"

Display summary: "Model configurations updated. N new models added, M models updated, K models flagged as deprecated."

Step 9: Satisfaction Feedback

Execute the Satisfaction Feedback Procedure (see .claude/skills/task-workflow/satisfaction-feedback.md) with skill_name = "refresh-code-models".

Model Naming Convention

When generating name fields for new models, follow these rules:

• Lowercase only, no uppercase letters
• Underscores replace dots, hyphens, and spaces (e.g., Opus 4.6 → opus4_6)
• Version numbers are concatenated without separators (e.g., 3.1 → 3_1, 2.5 → 2_5)
• No dots in the name field (dots are only in cli_id)
• Suffix conventions: _preview for preview models, _max for max-context variants, _flash for flash/fast variants

Examples:

Display Name	name	cli_id
Claude Opus 4.6	opus4_6	claude-opus-4-6
GPT-5.3 Codex Spark	gpt5_3codex_spark	gpt-5.3-codex-spark
Kimi K2.5	kimi_k2_5	kimi-k2.5

Research URLs

These URLs are used during the web research phase (Step 3). They are checked for validity in Step 7 and should be updated if they become stale.

Claude (Anthropic)

• https://platform.claude.com/docs/en/about-claude/models/overview
• https://platform.claude.com/docs/en/about-claude/models/all-models
• Key info: Claude Code uses --model flag. Prefer explicit versioned IDs (e.g., claude-opus-4-6) over aliases (opus).

Codex (OpenAI)

• https://platform.openai.com/docs/models
• https://developers.openai.com/codex/models/
• Key info: Codex CLI uses -m flag. Models are GPT-based codex variants.

OpenCode

• https://opencode.ai/docs/providers/
• https://github.com/anomalyco/opencode
• Key info: OpenCode uses --model flag. Provider-based model IDs from multiple AI providers.

Notes

• This skill uses Claude's built-in WebSearch and WebFetch tools — no external scripts needed
• The skill never auto-removes models. Deprecated flags are informational only; removal requires explicit user approval
• When updating, existing verified scores and verifiedstats history are always preserved — only new models get all-zero scores and empty stats objects
• Both aitasks/metadata/ (via ./ait git) and seed/ (via plain git) are updated when applicable
• If web research fails for a specific agent, the skill continues with other agents rather than aborting
• The self-update URL check (Step 7) only reports issues — it does not modify this SKILL.md automatically