Agent Config Adapter

agent-config-adapter

Use this workflow to port an existing agent configuration without dumping every rule into the target agent context.

Inputs to establish

1. Source agent and config root.
2. Target agent and target model route.
3. Whether the model is native to the target agent or routed through a

compatibility layer.

1. Required capabilities: durable instructions, skills, hooks, MCP/tools,

slash commands, subagents, browser/computer use, memories, and installers.

1. Non-negotiable isolation constraints: what must not affect the original

agent setup.

Adaptation steps

1. Inventory the source configuration:

• manifests
• skills
• hooks
• rules/instructions
• MCP/app/tool config
• install scripts
• templates
• tests or validation scripts

1. Research the target agent's current extension surfaces from local docs or

official docs. For Codex, use the openai-docs Codex manual route.

1. Build a mapping table: source item, target surface, required rewrite,

verification method, and isolation risk.

1. Choose the smallest target entrypoint:

• instructions file for always-on repo rules
• skill for reusable workflow
• plugin for distribution
• hook for lifecycle enforcement
• MCP/app for live tools or private external data

1. Implement target-specific wrappers. Keep shared source content as references

so implicit skill metadata stays small.

1. Verify structurally first, then run one realistic prompt per major workflow.

Model-route fallbacks

When the target model is not native to the agent, or implicit tool use is weak:

• Prefer explicit skill invocation in user docs and default prompts.
• Split long rule sets into small wrappers that name exactly which references

to read.

• Use scripts for deterministic checks instead of relying on the model to

remember every invariant.

• Require command output or file inspection before success claims.
• Avoid hidden global instructions that the routed model may ignore.
• Keep model-specific workarounds in the adapter skill, not in shared rules.

Deliverables

Every adaptation should leave:

• A plan document with the mapping table and selected architecture.
• Agent-specific manifest/config files.
• A validation command or script.
• Installation notes for the target agent.
• A rollback note explaining which original agent files were not touched.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: jajupmochi
• Source: jajupmochi/agent-harness
• License: MIT

Install and usage instructions live in the source repository linked above.