SKILLEMALL.ai

AC pmo-talk-skills

把项目管理场景中的对话、聊天记录、邮件、会议纪要整理成有理有据的回怼与说服话术。自动诊断冲突场景,从7大沟通框架(PREP / RIDE / LEAPS / FFC / 30秒电梯演讲 / STAR / SCQA)中选型,生成可直接发送或说出的话术,附强硬备用版与对方反扑预案。Use whenever the user says 回怼、怼回去、怼他、怎么反驳、怎么回复、帮我回、说服对方、应对质疑、争取资源或预算、被甩锅、被甲方/领导/外包/跨部门施压,或 push back / persuade stakeholders——即使没有明说要用沟通框架。

ClawHub Agent Skills author: zsd v0.1.0 MIT-0 5 files body ≈ 671 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

把项目管理场景中的对话、聊天记录、邮件、会议纪要整理成有理有据的回怼与说服话术。自动诊断冲突场景,从7大沟通框架(PREP / RIDE / LEAPS / FFC / 30秒电梯演讲 / STAR / SCQA)中选型,生成可直接发送或说出的话术,附强硬备用版与对方反扑预案。Use whenever the…

As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureOperations and projectstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
C
59/100
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: 5. 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 59/100

    • 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
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 21 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 671 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
    • +2Single-language instructions
    • +3Description length 278: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 21 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This is a markdown-only workplace communication skill with some broad activation wording, but no hidden execution, persistence, credential access, or data exfiltration behavior.
    LLM: benign (high) · VirusTotal: · 19 Sept 2026