SKILLEMALL.ai

AD cross-session-memory

配置 OpenClaw 跨会话记忆规则。首次使用或新装 OpenClaw 时运行,自动在 SOUL.md 和 AGENTS.md 中注入记忆共享规则,使群聊和私聊的长期记忆互通。触发词:'配置跨会话记忆'、'设置记忆共享'、'cross-session memory'、'setup memory sharing'。

ClawHub Agent Skills author: Richardcoder849 v1.0.0 MIT-0 3 files · 1 script body ≈ 202 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • 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 description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 41/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (cross-session-memory) differs from the folder (cross-session-memory-config)
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 14 steps
  • 100Execution cost. Instruction body is 202 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

  • +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 158: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (3 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
The skill openly sets up shared memory between group and private chats, but it persistently changes core agent behavior and uses broad memory-sharing rules without clear privacy limits.
LLM: suspicious (high) · VirusTotal: · 29 May 2026