AB grit
Relentless problem-solving and tool-escalation for blocked tasks. Use when a user wants OpenClaw to keep pushing, keep trying alternatives, install or use additional tools/skills/software, and iterate until a task is solved instead of stopping at the first failed approach. Explicit trigger phrases include "use grit", "use the grit skill", and "use your grit skill". Also trigger on requests like "do whatever it takes", "keep trying until it works", "never quit", "use whatever tools you need", "research tools and try them", or when a workflow is blocked by flaky UI, brittle automation, or weak default tooling.
As a process B 67/100 · Nearly there — weak spots: result and completion, inputs and preconditions, 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: 3. 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 67/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 70When it triggers. States when to use, but not when not to
- 85Steps. 56 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100Failures and branches. 3 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1299 tokens
- 100Running it twice. No mutating operations
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 8 example trigger phrases
- +3Description length 615: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 56 items
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.