SKILLEMALL.ai

AD eco-law-assistant

生态环境法典普法与合规助手。基于《中华人民共和国生态环境法典》(2026年8月15日施行)全文1242条构建的智能问答与合规预检技能。当用户提出法典条款查询、场景化法律咨询、企业合规预检、新旧法律衔接、法典结构查询、主体权责查询、专家解读查询等需求时触发本技能。涉及"生态环保法典""环境法典""环保合规""双罚制""排污许可""环评""损害赔偿""法典第X条""企业环保合规检查"等关键词时应使用。

ClawHub Agent Skills author: whichonewang-eng v1.0.1 MIT-0 4 files body ≈ 756 tokens Open the sourceclawhub.ai analyzed 3 d ago

生态环境法典普法与合规助手。基于《中华人民共和国生态环境法典》(2026年8月15日施行)全文1242条构建的智能问答与合规预检技能。当用户提出法典条款查询、场景化法律咨询、企业合规预检、新旧法律衔接、法典结构查询、主体权责查询、专家解读查询等需求时触发本技能。涉及"生态环保法典""环境法典""环保合规""双罚制""…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentWriting and documentsSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
D
46/100
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: 4. 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")

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 25 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 756 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (4 tags): a typed call is more reliable

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

  • +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
  • +5Description quotes 2 example trigger phrases
  • +3Description length 200: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (3 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This skill is a local legal-reference helper that reads bundled law data and does not show hidden data access, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 25 Aug 2026