SKILLEMALL.ai

BC log-sanitizer-free

日志脱敏工具免费版解决日志安全的\"隐性泄露\"痛点:开发者将应用日志上传到排查平台时无意间泄露数据库密码、API令牌被写入调试日志、生产环境日志包含用户隐私字段、合规审计要求日志中不得出现明文敏感信息。这些场景下,原始日志直接归档或转发会带来严重的安全与合规风险。Use,可自发提升工作效率. 适用于需要log sanitizer相关能力的开发场景,包含结构化的工作流程和可复用的模板,帮助用户快速完成任务并保持代码质量.

ClawHub Hermes author: 天轰穿 v1.0.1 MIT-0 2 files body ≈ 2 156 tokens Open the sourceclawhub.ai analyzed 3 d ago

日志脱敏工具免费版解决日志安全的\"隐性泄露\"痛点:开发者将应用日志上传到排查平台时无意间泄露数据库密码、API令牌被写入调试日志、生产环境日志包含用户隐私字段、合规审计要求日志中不得出现明文敏感信息。这些场景下,原始日志直接归档或转发会带来严重的安全与合规风险。Use,可自发提升工作效率.

As a process C 55/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationLogistics and warehousePersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
99
Quality 40%
66
Run on models
none yet
Process rating
C
55/100
Has gaps
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. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-password-literal SKILL.md:241
    Hard-coded password / key literal (may be an example) (placeholder value)
    api_key: sk-a…... → api_key: ***REDACTED***
    placeholder

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Unexpected scalar at node end at line 6, column 77: …密钥等敏感信息,支持正则规则与自定义模式,本地运行零数据外泄.。日志脱敏工具免费版解决日志安全的"隐性泄露"痛点:开发者将应用日志上传到排查平台时无意间泄露" ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-long-hermes description is 212 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "edition"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "pricing_tier"

Process rating: all ten parameters 55/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 38 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2156 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low 14 top-level sections: this looks like several domains in one skill

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
  • +2Single-language instructions
  • +3Description length 212: enough signal without eating the budget
  • +4Structure: 36 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (11 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This skill is a local log-sanitization guide with expected access to sensitive log files, but users should be careful with in-place redaction, plaintext backups, and the unexplained optional callback URL.
LLM: benign (high) · VirusTotal: · 27 Jul 2026