SKILLEMALL.ai

BD ima-skill

统一的 IMA OpenAPI 技能,支持笔记管理和知识库操作。 当用户提到知识库、资料库、笔记、备忘录、记事,或者想要上传文件、添加网页到知识库、 搜索知识库内容、搜索/浏览/创建/编辑笔记时,使用此 skill。 即使用户没有明确说"知识库"或"笔记",只要意图涉及文件上传到知识库、网页收藏、 知识搜索、个人文档存取(如"帮我记一下"、"搜一下知识库里有没有XX"),也应触发此 skill。

ClawHub Agent Skills author: z zoe v1.0.0 MIT-0 8 files body ≈ 1 902 tokens Open the sourceclawhub.ai analyzed 2 d ago

统一的 IMA OpenAPI 技能,支持笔记管理和知识库操作。 当用户提到知识库、资料库、笔记、备忘录、记事,或者想要上传文件、添加网页到知识库、 搜索知识库内容、搜索/浏览/创建/编辑笔记时,使用此 skill。 即使用户没有明确说"知识库"或"笔记",只要意图涉及文件上传到知识库、网页收藏、…

As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
D
45/100
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: ima-skill (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: 2. 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 "homepage"

Process rating: all ten parameters 45/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 5 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 100Steps. 12 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1902 tokens
  • 100Progress reporting. Reports progress

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 199: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This skill is a coherent IMA notes and knowledge-base integration, but users should understand it can read private notes, modify remote content, and upload selected files using IMA/Tencent cloud credentials.
LLM: benign (high) · VirusTotal: · 29 May 2026