SKILLEMALL.ai

BD pua

Forces high-agency exhaustive problem-solving with corporate PUA pressure. Triggers on user frustration, repeated failures (2+), passive behavior, or quality complaints. Common triggers: try harder, figure it out, stop giving up, you keep failing, stop spinning, you broke it, 加油, 别偷懒, 你再试试, 为什么还不行, 你怎么又失败了, 又错了, 能不能靠谱点, 认真点, 不行啊, 降智了, 你又在原地打转, 你把之前的改坏了, 别让我手动处理, 换个方法, /pua, PUA模式. All task types.

ClawHub Agent Skills author: rorschachachxd v2.0.0 MIT-0 3 files body ≈ 2 004 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 45/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

ReferenceInfrastructureCustomer supporttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
D
45/100
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

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 45/100

  • 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
  • 40Consistency. Frontmatter name (pua) differs from the folder (pua-openclaw)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 71 steps
  • 100Execution cost. Instruction body is 2004 tokens
  • low 17 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

  • +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
  • -269 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 399: enough signal without eating the budget
  • +4Structure: 43 headings
  • +3Step-by-step instructions: 71 items
  • +4Has examples (4 code blocks)
  • +1License stated

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

External checks

ClawHub: suspicious
This skill is an instruction-only pressure/persona skill, but it can activate broadly and asks the agent to keep persistent cross-session behavior records.
LLM: suspicious (high) · VirusTotal: · 29 May 2026