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。
As a process F 31/100 · Will not run — References files that are not bundled: references/ppt-generation-guide.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 · 5
✓ No critical or high findings
Medium and low: 5
-
low Secrets in code
secret-high-entropy-tokenreferences/insight-integration.md:113High-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-tokenreferences/insight-integration.md:115High-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-tokenreferences/insight-integration.md:132High-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-tokenreferences/insight-integration.md:148High-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-tokenreferences/insight-integration.md:215High-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-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/ppt-generation-guide.md - note
frontmatter-keyunknown 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