BF xhsfenxi-pro
小红书全链路分析 skill。数据采集（SeleniumBase XHR拦截）+ 博主深度分析（三型分类 + 温度子分化 + 五层模型 + hsword 内核三段论）+ 爆款选题公式（路线分支 × 6 模型 × 30 选题方向）+ 数据驱动逆向工程 + 黑体 Word 交付（带目录）。 v2.1.1 隐私清理版：纯方法论库，不携带任何已分析博主的具体数据。
As a process F 54/100 · Will not run — References files that are not bundled: references/workflow.md, references/templates.md, references/hsword-frameworks.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: 31. 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/workflow.md - warning
missing-refreference to a missing file: references/templates.md - warning
missing-refreference to a missing file: references/hsword-frameworks.md - warning
missing-refreference to a missing file: scripts/build_docx.py - note
frontmatter-keyunknown frontmatter key "keywords"
Process rating: all ten parameters 54/100
Will not run. References files that are not bundled: references/workflow.md, references/templates.md, references/hsword-frameworks.md
- 0Tools and files. 4 referenced file(s) missing: references/workflow.md, references/templates.md, references/hsword-frameworks.md
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 4 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 58 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3876 tokens
- low 22 top-level sections: this looks like several domains in one skill
- high The skill tells the model to perform an irreversible action with no human approval
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
- -4Absolute local paths (C:\Users, /home/…): not portable
- -219 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 179: enough signal without eating the budget
- +4Structure: 38 headings
- +3Step-by-step instructions: 58 items
- +4Has examples (26 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.
External checks
ClawHub: suspicious
This skill is mostly a disclosed Xiaohongshu analysis/scraping tool, but it also uses saved session cookies, intercepts authenticated traffic, persists creator profiles, and includes account-writing and optional outbound automation that need careful review.
LLM: suspicious (high) · VirusTotal: · 29 May 2026