BF gr-aso
ASO（App Store Optimization）+ App 冷启动。覆盖关键词研究、metadata 优化、UGC 创作者矩阵、 TikTok 投流、AI 多账号矩阵、多语言本地化。从 gingiris-aso-growth 提炼。
As a process F 35/100 · Will not run — References files that are not bundled: references/full-guide-zh.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
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: 2. 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") - warning
missing-refreference to a missing file: references/full-guide-zh.md
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: references/full-guide-zh.md
- 0Tools and files. 1 referenced file(s) missing: references/full-guide-zh.md
- 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
- 100Steps. 29 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 364 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)
- +3Description length 119: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Structure: 11 headings
- +3Step-by-step instructions: 29 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.
External checks
ClawHub: clean
This is an ASO and app-launch marketing guidance skill with no executable code; the main user consideration is to apply its growth tactics within platform rules.
LLM: benign (high) · VirusTotal: · 20 Jun 2026