SKILLEMALL.ai

AD knowledge

结构化知识归档、索引、检索与反思补全。将周报、笔记、知识文档自动拆解为标准化主题目录结构,维护全量索引,支持快速检索与信息缺失追问。TRIGGER: 归档/存储/记录/保存周报笔记文档, 追加更新知识, 索引生成刷新更新, 结构化检索读取查询, 反思补充补全缺失信息, 结构化记忆, 结构化存储, 结构化总结, knowledge archive index retrieve reflect structured memory structured storage structured summary.

ClawHub Agent Skills author: Chentx1243 v1.0.0 MIT-0 4 files body ≈ 523 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

ProcedureInfrastructureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
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

    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: 4. 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 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 (knowledge) differs from the folder (maple-structured-storage)
    • 100Tools and files. No external tools needed
    • 100Steps. 27 steps
    • 100Execution cost. Instruction body is 523 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 253: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 27 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    This knowledge-archive skill is coherent, but it needs Review because it can persist, reorganize, and copy local content without enough safeguards for sensitive data.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026