BF error-recovery-automation
Standardize handling of common OpenClaw errors (gateway restart, browser service unavailable, cron failures) with automated recovery steps. Use when you need to automate detection and recovery from known failure modes, reducing manual intervention and increasing system resilience.
Standardize handling of common OpenClaw errors (gateway restart, browser service unavailable, cron failures) with automated recovery steps.
As a process F 37/100 · Will not run — References files that are not bundled: scripts/gateway-recovery.sh, scripts/browser-recovery.sh, scripts/cron-recovery.sh
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 1. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: scripts/gateway-recovery.sh - warning
missing-refreference to a missing file: scripts/browser-recovery.sh - warning
missing-refreference to a missing file: scripts/cron-recovery.sh
Process rating: all ten parameters 37/100
- 0Tools and files. 3 referenced file(s) missing: scripts/gateway-recovery.sh, scripts/browser-recovery.sh, scripts/cron-recovery.sh
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 4 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 85Steps. 52 steps, 1 vague phrases
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3003 tokens
- 100Progress reporting. Reports progress
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 281: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 52 items
- +4Has examples (8 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.