SKILLEMALL.ai

BD product-conformance-confirm

面向质量工程师与认证合规工程师的产品一致性确认技能,按维度比对产品与型式批准/认证标准的一致性,生成含维度比对表的一致性确认报告(文字版 .txt + Markdown .md,无网页/办公格式,重实效)

ClawHub Agent Skills author: engicool v0.1.0 MIT-0 2 files body ≈ 794 tokens Open the sourceclawhub.ai analyzed 35 h ago

面向质量工程师与认证合规工程师的产品一致性确认技能,按维度比对产品与型式批准/认证标准的一致性,生成含维度比对表的一致性确认报告(文字版 .txt + Markdown .md,无网页/办公格式,重实效)

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
D
49/100
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: 0. 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 "slug"
  • note frontmatter-key unknown frontmatter key "displayName"

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (product-conformance-confirm) differs from the folder (skill-product-conformance-confirm)
  • 100Tools and files. No external tools needed
  • 100Steps. 28 steps
  • 100Execution cost. Instruction body is 794 tokens
  • 100Running it twice. No mutating operations
  • low 11 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 102: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This skill is a document-generation guide for product conformance checks and does not show hidden access, persistence, or unsafe behavior.
LLM: benign (high) · VirusTotal: · 17 Jul 2026