SKILLEMALL.ai

BF autoglm-search-image

使用 AutoGLM 搜图接口,根据用户输入的关键词搜索相关图片。当用户需要搜索图片、查找图片素材等场景时使用此 skill。 Token 通过本地服务 http://127.0.0.1:53699/get_token 自动获取,无需手动配置环境变量。

ClawHub Agent Skills author: flyfujian v1.0.0 MIT-0 3 files body ≈ 288 tokens Open the sourceclawhub.ai analyzed 2 d ago

使用 AutoGLM 搜图接口,根据用户输入的关键词搜索相关图片。当用户需要搜索图片、查找图片素材等场景时使用此 skill。 Token 通过本地服务 http://127.0.0.1:53699/gettoken 自动获取,无需手动配置环境变量。

As a process F 32/100 · Will not run — References files that are not bundled: original_url

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
F
32/100
Will not run
References files that are not bundled: original_url
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 3. 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")
  • warning missing-ref reference to a missing file: original_url

Process rating: all ten parameters 32/100

Will not run. References files that are not bundled: original_url
  • 0Tools and files. 1 referenced file(s) missing: original_url
  • 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
  • 75Steps. 3 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 288 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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 126: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 3 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
This image-search skill does what it says, but it automatically uses a local bearer token and sends it with search terms to a remote API without enough control or scope information.
LLM: suspicious (high) · VirusTotal: · 5 Jun 2026