SKILLEMALL.ai

AC vague-requirement-unpacker

Cold-start unpacker for vague boss/business requirements. Use when the user says "老板/业务只给了一个模糊方向", "帮我接一下这个需求", "信息不全先拆一下", "我还没 PRD 先给方案骨架", or needs a 30-minute to 2-hour PM alignment pack with confirmation questions, scenario narrowing, scope skeleton, readiness score, risk flags, and reply script.

ClawHub Agent Skills author: Chris Wang v1.0.3 MIT-0 8 files body ≈ 1 355 tokens Open the sourceclawhub.ai analyzed 2 d ago

Cold-start unpacker for vague boss/business requirements.

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

TemplateData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
C
57/100
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: 8. 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 57/100

    • 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
    • 30Running it twice. 2 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 49 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1355 tokens
    • low 11 top-level sections: this looks like several domains in one skill

    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

    • +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
    • +5Description quotes 4 example trigger phrases
    • +3Description length 302: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 49 items
    • +4Has examples (8 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: clean
    This skill is a benign product-management helper that structures vague requirements using local templates and does not request unusual access.
    LLM: benign (high) · VirusTotal: · 20 Jul 2026