SKILLEMALL.ai

AC hazardous-chemical-id

危险化学品辨识技能。当用户需要查询某个化学品是否属于危险化学品、查询其危险性分类、重点监管类别、易制毒/易制爆/监控化学品属性、重大危险源临界量、安全措施和应急处置原则时,使用此技能。适用于化工安全、安全评价、安全生产管理、应急管理等场景。触发词包括:危险化学品辨识、化学品查询、危化品分类、CAS号查询、是否是危险化学品、易制毒、易制爆、监控化学品、重点监管危险化学品、特别管控危险化学品、高毒物品等。

ClawHub Agent Skills author: 709571520 v1.0.0 MIT-0 4 files body ≈ 559 tokens Open the sourceclawhub.ai analyzed 2 d ago

危险化学品辨识技能。当用户需要查询某个化学品是否属于危险化学品、查询其危险性分类、重点监管类别、易制毒/易制爆/监控化学品属性、重大危险源临界量、安全措施和应急处置原则时,使用此技能。适用于化工安全、安全评价、安全生产管理、应急管理等场景。触发词包括:危险化学品辨识、化学品查询、危化品分类、CAS号查询、是否是危险化…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
C
53/100
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. 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")
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 29 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 559 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 202: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This is a documentation-only skill for checking Chinese hazardous-chemical classifications, with disclosed knowledge-base and public web lookup behavior and no executable code.
LLM: benign (high) · VirusTotal: · 25 Jul 2026