SKILLEMALL.ai

AC meeting-note

探讨/决策型会议与谈话纪要(结论/共识/分歧/决策轨迹/隐含假设/风险机会/行动项)+ Zettelkasten 连接。Use when 用户要整理会议纪要、复盘讨论、把多方探讨变成可执行资产。信息/学习型谈话(培训、分享会、单向汇报)请改用 deep-learning。关键词:会议纪要、会议、谈话、讨论、meeting notes。

ClawHub Agent Skills author: mikonos v1.0.0 4 files body ≈ 794 tokens Open the sourceclawhub.ai analyzed 2 d ago

探讨/决策型会议与谈话纪要(结论/共识/分歧/决策轨迹/隐含假设/风险机会/行动项)+ Zettelkasten 连接。Use when 用户要整理会议纪要、复盘讨论、把多方探讨变成可执行资产。信息/学习型谈话(培训、分享会、单向汇报)请改用…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedurePersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
53/100
Has gaps
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 53/100

    • 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
    • 100Tools and files. No external tools needed
    • 100Steps. 45 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 794 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
    • +4No input/output examples
    • -5TODO / placeholder text left in the skill
    • -214 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +3Description length 168: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 45 items
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

    External checks

    ClawHub: suspicious
    The skill itself is a coherent meeting-notes helper, but its README recommends unpinned npx install commands that can run changing third-party code.
    LLM: suspicious (high) · VirusTotal: · 11 Sept 2026