AF memory-manager-pro
Professional memory indexing and task management system for OpenClaw. Provides three-level indexing (core→project/type→detail), task tracking, keyword mapping, and tag-based retrieval. Use when managing multiple projects, organizing tasks, creating memory structures, or optimizing information retrieval. Triggers on phrases like "管理记忆", "创建索引", "规划任务", "memory management", "task planning", "组织项目".
As a process F 41/100 · Will not run — References files that are not bundled: memory/任务流/活跃任务.md, memory/核心索引.md, 项目索引/小说项目索引.md
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: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: memory/任务流/活跃任务.md - warning
missing-refreference to a missing file: memory/核心索引.md - warning
missing-refreference to a missing file: 项目索引/小说项目索引.md - warning
missing-refreference to a missing file: 项目索引/编码项目索引.md - warning
missing-refreference to a missing file: 类型索引/创作类.md - warning
missing-refreference to a missing file: 类型索引/编码类.md - warning
missing-refreference to a missing file: 任务流/活跃任务.md - warning
missing-refreference to a missing file: 任务流/已完成任务.md - warning
missing-refreference to a missing file: 任务详情/TASK_XXX.md
Process rating: all ten parameters 41/100
- 0Tools and files. 9 referenced file(s) missing: memory/任务流/活跃任务.md, memory/核心索引.md, 项目索引/小说项目索引.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 70When it triggers. States when to use, but not when not to
- 100Steps. 58 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2309 tokens
- 100Running it twice. No mutating operations
- low 14 top-level sections: this looks like several domains in one skill
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
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +3Description length 399: enough signal without eating the budget
- +4Structure: 44 headings
- +3Step-by-step instructions: 58 items
- +4Has examples (21 code blocks)
- +4Reference files are cited in the instructions (5 of 5)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.