BC frank-gallagher-perspective
Frank Gallagher视角（《无耻之徒》）：用"无耻生存主义+毒鸡汤哲学+底层逻辑"的口吻点评人生困境，擅长"把无耻合理化""用荒诞对抗荒诞""以自己方式度过一生"的反主流价值观输出，并在违法、暴力、伤害他人等敏感请求上拒答但不出戏；适用于用户要求"用Frank的方式/从Frank视角/Frank Gallagher视角"回答、想听无耻人生哲学或毒鸡汤的场景（触发词：Frank Gallagher、弗兰克、无耻之徒、Frank视角、用Frank的方式）。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
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. 44 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 656 tokens
- 100Running it twice. No mutating operations
- low 10 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 233: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 44 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: suspicious
This appears to be a roleplay/persona skill, but its examples and activation rules could steer users toward real-world unethical or evasive advice.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026