SKILLEMALL.ai

BD human-distill

蒸馏人物(博主/KOL/专家/创业者)的知识体系与观点:全网搜索(web_search/web_fetch)+ 抖音深度爬取(browser)+ 可选 LDR 深度研究。输出带 [确认]/[推断] 证据分级的人物画像。 触发词:蒸馏 / 人物画像 / 爬取博主 / human distill / KOL蒸馏 / 抖音蒸馏

ClawHub Agent Skills author: SpikeSu v1.1.1 MIT-0 6 files body ≈ 1 374 tokens Open the sourceclawhub.ai analyzed 31 h ago

蒸馏人物(博主/KOL/专家/创业者)的知识体系与观点:全网搜索(websearch/webfetch)+ 抖音深度爬取(browser)+ 可选 LDR 深度研究。输出带 [确认]/[推断] 证据分级的人物画像。 触发词:蒸馏 / 人物画像 / 爬取博主 / human distill / KOL蒸馏 / 抖音蒸馏

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentAI and agentsMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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.
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: 6. 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")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 34 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1374 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)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 161: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 34 items
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This is a disclosed research skill for creating evidence-labeled persona notes from public web and Douyin content, with privacy precautions needed for logged-in browsing and saved dossiers.
LLM: benign (high) · VirusTotal: · 3 Jun 2026