SKILLEMALL.ai

BF dmp-persona-insight-5-2-1-clean-1

基于DMP标签体系的用户画像洞察分析技能。支持多维度数据分析、核心特征筛选、推导说明生成、策略建议输出,适用于精准营销、用户运营、产品优化等场景。当用户需要分析用户画像数据、生成用户洞察报告、制定营销策略时使用此技能。触发词:用户画像、人群画像、画像洞察、画像分析、画像报告、人群洞察、洞察分析、洞察报告、TGI分析、标签分析、特征分析、人群特征、营销策略、精准营销、人群策略、投放策略、生成报告、用户分层、人群分层、用户运营分析。

ClawHub Agent Skills author: mingri26 v1.0.2 MIT-0 21 files body ≈ 2 116 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 31/100 · Will not run — References files that are not bundled: references/ppt-generation-guide.md

PersonaInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
95
Quality 40%
70
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/ppt-generation-guide.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token references/insight-integration.md:113
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    SK = "zZYe…mN0"
    quoted
  • low Secrets in code secret-high-entropy-token references/insight-integration.md:115
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    签名字符串 = "1774…mN0"
    quoted
  • low Secrets in code secret-high-entropy-token references/insight-integration.md:132
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    api = InsightAPI(ak='wArzwWvT', sk='zZYe…mN0')
    quoted
  • low Secrets in code secret-high-entropy-token references/insight-integration.md:148
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    export DMP_SK='zZYe…mN0'
    quoted
  • low Secrets in code secret-high-entropy-token references/insight-integration.md:215
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    sk='zZYe…mN0'
    quoted

Files scanned: 21. 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: references/ppt-generation-guide.md
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: references/ppt-generation-guide.md
  • 0Tools and files. 1 referenced file(s) missing: references/ppt-generation-guide.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
  • 40Consistency. Frontmatter name (dmp-persona-insight-5-2-1-clean-1) differs from the folder (dmp-persona-insight)
  • 100Steps. 155 steps
  • 100Execution cost. Instruction body is 2116 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
  • -258 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 216: enough signal without eating the budget
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 155 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (9 of 14)
  • +3All 4 scripts are documented

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

External checks

ClawHub: suspicious
The skill’s analytics purpose is coherent, but it handles DMP credentials and audience data with unsafe transport and secret-handling guidance that needs review before installation.
LLM: suspicious (high) · VirusTotal: · 29 May 2026