SKILLEMALL.ai

BD 深知可信搜索(法律、政策、标准)

当用户需要可信搜索、权威材料检索、政策法规/标准依据查找、可点击溯源、知识专库、政策调研、城市政策对比、企业补贴与税惠材料核验、合规依据核验,或明确要求深度搜索、深度分析、全面查找、多轮核验、完整方案时,使用深知可信搜索(法律、政策、标准)。本 Skill 默认只调用深知可信搜索接口,不使用统一咨询接口;只有用户明确要求深度搜索或在可信搜索完成后确认升级深度核验时,才调用深度搜索接口。最终交付必须包含直接回复答案、与答案一致的可点击溯源 HTML、以及移除来源角标的干净 Markdown。API Key 统一通过环境变量 DKNOWC_API_KEY 注入。

ClawHub Agent Skills author: Dylan Zhang v1.1.6 MIT-0 14 files body ≈ 2 795 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
D
39/100
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
This is a copy of a skill from another catalog; the rating counts the canonical one: 深知可信搜索(法律、政策、标准) (ClawHub)

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: 14. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • 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 "display_name"
  • note frontmatter-key unknown frontmatter key "display_name_en"
  • note frontmatter-key unknown frontmatter key "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"
  • note frontmatter-key unknown frontmatter key "permissions"
  • note frontmatter-key unknown frontmatter key "secrets"

Process rating: all ten parameters 39/100

  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (深知可信搜索(法律、政策、标准)) differs from the folder (dknowc-trusted-search)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 63 steps
  • 100Execution cost. Instruction body is 2795 tokens

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
  • -31 of 8 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 282: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 63 items
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
The skill mostly does what it claims, but its phone/API-key onboarding and external search data flow are not explained clearly enough to users.
LLM: suspicious (high) · 3 Sept 2026