SKILLEMALL.ai

BF salesman-recommender-CN

自动从精选联盟达人广场筛选符合动态条件的直播达人,并将结果保存为 Excel 文件

ClawHub Agent Skills author: Kyle v2.0.1 MIT-0 5 files body ≈ 795 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 31/100 · Will not run — References files that are not bundled: references/api_details.md, references/login_flow.md

ProcedureData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
58
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/api_details.md, references/login_flow.md
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: 5. 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")
  • warning missing-ref reference to a missing file: references/api_details.md
  • warning missing-ref reference to a missing file: references/login_flow.md

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: references/api_details.md, references/login_flow.md
  • 0Tools and files. 2 referenced file(s) missing: references/api_details.md, references/login_flow.md
  • 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
  • 40Consistency. Frontmatter name (salesman-recommender-CN) differs from the folder (salesman-recommender)
  • 100Steps. 38 steps
  • 100Execution cost. Instruction body is 795 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill

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)
  • +3Description length 41: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (5 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: suspicious
The skill performs the advertised creator search/export workflow, but it also handles third-party account credentials, keeps browser sessions, uses automation-evasion settings, and can save sensitive debug pages to the desktop without enough user control.
LLM: suspicious (high) · VirusTotal: · 4 Jun 2026