AB ai-config-admin
Manage AI configuration for OpenClaw, OpenCode, Codex CLI, and Claude Code. Use when the user wants to add/remove models or providers, switch default or agent models, replace or update OpenClaw/OpenCode/Codex/Claude config files, or convert natural-language / irregular JSON / TOML input into the exact config changes supported by the bundled scripts. Triggers include: openclaw.json, opencode.json, config.toml, auth.json, settings.json, Claude Code, Codex CLI, provider, model, default model, agent model, OPENAI_API_KEY, ANTHROPIC_AUTH_TOKEN, ANTHROPIC_BASE_URL.
As a process B 71/100 · Nearly there — weak spots: result and completion, running it twice, progress reporting
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 71/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 7 mutating operations with no state check
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Failures and branches. 5 branches
- 100Tools and files. No external tools needed
- 100Steps. 59 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1812 tokens
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 565: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 59 items
- +4Has examples (4 code blocks)
- +3All 4 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.