AF memory-manager-v2
OpenClaw-native memory maintenance, snapshots, indexing health checks, and review workflows. Use when you need to protect context before risky work, troubleshoot memory_search, create memory snapshots, review recent daily notes for durable learnings, archive old daily notes safely, or inspect memory provider/index health in an OpenClaw workspace.
As a process F 33/100 · Will not run — References files that are not bundled: scripts/check.ps1, scripts/snapshot.ps1, scripts/review.ps1
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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: scripts/check.ps1 - warning
missing-refreference to a missing file: scripts/snapshot.ps1 - warning
missing-refreference to a missing file: scripts/review.ps1 - warning
missing-refreference to a missing file: scripts/search.ps1 - warning
missing-refreference to a missing file: scripts/doctor.ps1 - warning
missing-refreference to a missing file: scripts/archive.ps1
Process rating: all ten parameters 33/100
- 0Tools and files. 6 referenced file(s) missing: scripts/check.ps1, scripts/snapshot.ps1, scripts/review.ps1
- 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
- 40Consistency. Frontmatter name (memory-manager-v2) differs from the folder (openclaw-memory-manager)
- 50Failures and branches. 0 branches, has a failure section
- 85Steps. 40 steps, 1 vague phrases
- 100Execution cost. Instruction body is 828 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 348: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 40 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.