AD xiaohongshu-rankings
想知道小红书哪些账号涨粉最猛？这款技能帮你追踪日榜/周榜/月榜涨粉数据，数据都是人工一个个账号比对校验出来的，覆盖全品类，还能一键生成好看的排名图！
As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 1 more place: ClawHub
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: 9. 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 39/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (xiaohongshu-rankings) differs from the folder (rednote-ranking)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 117 steps
- 100Execution cost. Instruction body is 2066 tokens
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 74: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -227 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 32 headings
- +3Step-by-step instructions: 117 items
- +4Has examples (13 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 6 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.
External checks
ClawHub: suspicious
This ranking skill largely matches its stated purpose, but it needs review because it stores contact details, can send recurring reports through external services, and fetches data using unsafe HTTPS settings.
LLM: suspicious (high) · VirusTotal: · 29 May 2026