SKILLEMALL.ai

BF xhs-post-factory

小红书多输入内容生成技能。用于将 pdf/md/txt/json 等文件转为结构化的小红书博文。默认生成论文解读(paper-interpretation)类型,输出 xhs-post.md 与 xhs-post.json 到输入文件所在目录,并保留可扩展模板机制以支持后续更多博文类型。

ClawHub Agent Skills author: Chen-Li-17 v1.0.0 MIT-0 4 files body ≈ 521 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 56/100 · Will not run — References files that are not bundled: templates/<post-type>.md

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
F
56/100
Will not run
References files that are not bundled: templates/<post-type>.md
Tools and files w 18
0
Progress reporting w 2
0
When it triggers w 12
20
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.
  2. 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: 4. 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")
  • warning missing-ref reference to a missing file: templates/<post-type>.md

Process rating: all ten parameters 56/100

Will not run. References files that are not bundled: templates/<post-type>.md
  • 0Tools and files. 1 referenced file(s) missing: templates/<post-type>.md
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 62 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 521 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)
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 144: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 62 items
  • +3Output format is stated explicitly
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: clean
This looks like a straightforward Xiaohongshu formatting skill that writes predictable output files, with an overwrite-risk note but no evidence of malicious behavior.
LLM: benign (medium) · VirusTotal: · 29 May 2026