SKILLEMALL.ai

AC how-to-research

怎样调研——从《怎样调研》(任仲然著,党建读物出版社)提炼的调研方法论技能库。当用户要做调研类任务(市场调研、竞品分析、行业研究、用户访谈、实地调查、问卷设计、调研报告撰写),或问及调查研究方法、蹲点调研、随机调研、文献调研、抽样、座谈会等概念,或需要按一套成熟方法论执行调研时使用。Use when planning or executing any research/investigation task, or referencing the book's frameworks.

ClawHub Agent Skills author: George v0.1.0 MIT-0 19 files body ≈ 1 072 tokens Open the sourceclawhub.ai analyzed 13 h ago

怎样调研——从《怎样调研》(任仲然著,党建读物出版社)提炼的调研方法论技能库。当用户要做调研类任务(市场调研、竞品分析、行业研究、用户访谈、实地调查、问卷设计、调研报告撰写),或问及调查研究方法、蹲点调研、随机调研、文献调研、抽样、座谈会等概念,或需要按一套成熟方法论执行调研时使用。Use when…

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

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
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: 19. 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. 29 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1072 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 243: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 29 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: clean
    This is a static Chinese-language research-methodology skill with no executable behavior, persistence, credential handling, or hidden data movement.
    LLM: benign (high) · VirusTotal: · 16 Sept 2026