SKILLEMALL.ai

BC key-vault-manager-free

(no description)

ClawHub Agent Skills author: 天轰穿 v1.0.0 MIT-0 2 files body ≈ 1 579 tokens Open the sourceclawhub.ai analyzed 2 d ago

本工具通过本地MCP工具架构守护API密钥安全,确保密钥值不会以明文形式发送到LLM服务器,所有密钥操作在用户设备本地完成。…

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
97
Quality 40%
57
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
When it triggers w 12
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.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Exfiltration read-dotenv SKILL.md:115
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv SKILL.md:174
    Reads a .env file (quoted — discussed, not commanded)
    避免直接使用`cat .env`或文件读取工具查看包含密钥的文件。养成使用`read_file_masked`的习惯,确保密钥明文不会被发送到LLM服务器。这一实践应贯穿所有涉及密钥文件的操作。
    quoted
  • low Exfiltration read-dotenv SKILL.md:220
    Reads a .env file (security demo / example; quoted — discussed, not commanded)
    1. **禁止直接读取密钥文件**:不要使用`cat .env`或文件读取工具查看包含密钥的文件,始终使用`read_file_masked`
    demoquoted

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: Map keys must be unique at line 26, column 1: suggested_price: "19.9 CNY/per_use" tools: ["read", "write", "exec"] ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • 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 "homepage"
  • note frontmatter-key unknown frontmatter key "pricing_tier"
  • note frontmatter-key unknown frontmatter key "pricing_model"
  • note frontmatter-key unknown frontmatter key "suggested_price"

Process rating: all ten parameters 51/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 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
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1579 tokens
  • 100Running it twice. No mutating operations
  • low 15 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)
  • +3Description length 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 42 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (6 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: suspicious
This skill is a key-management helper with expected secret-handling features, but its instructions are too broad and under-scoped for safe installation without review.
LLM: suspicious (high) · 23 Jul 2026