SKILLEMALL.ai

BD memory-store

管理用户明确启用的跨会话、多 Agent 结构化记忆。用户明确要求记住、保存、回忆或查询过去内容时使用;已配置 balanced/proactive 策略时,也可在确有历史依赖或形成耐久决策、排障与流程时使用。先读取有效记忆策略,off/explicit 模式不得因普通对话词语自动访问或持久化记忆。

ClawHub Agent Skills author: wanshu v1.1.1 MIT-0 25 files body ≈ 870 tokens Open the sourceclawhub.ai analyzed 31 h ago

管理用户明确启用的跨会话、多 Agent 结构化记忆。用户明确要求记住、保存、回忆或查询过去内容时使用;已配置 balanced/proactive 策略时,也可在确有历史依赖或形成耐久决策、排障与流程时使用。先读取有效记忆策略,off/explicit 模式不得因普通对话词语自动访问或持久化记忆。

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
49/100
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: 19. 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 49/100

  • 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 (memory-store) differs from the folder (memory-store-skill)
  • 100Tools and files. No external tools needed
  • 100Steps. 13 steps
  • 100Execution cost. Instruction body is 870 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
  • -32 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 150: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This is a disclosed local memory skill with persistent plaintext storage and user-controlled setup, with no evidence of hidden network, background, or destructive behavior.
LLM: benign (high) · VirusTotal: · 13 Aug 2026