SKILLEMALL.ai

BD social-radar-mvp

面向 OpenClaw 的社交雷达 MVP Skill。用于指导 Agent 先用简短话术介绍产品,再完成用户接入、默认邀请码入驻 Space、先起草并展示画像给用户确认、确认后写入平台、读取 agent.md 做首次推荐、按用户设定决定后续是否继续扫描新增成员、发起平台内私信,并通过平台 inbox 轮询拉取新消息。不要调用旧 demo 路由或依赖首页 UI。

ClawHub Agent Skills author: pikaqiu2333 v1.0.0 MIT-0 2 files body ≈ 1 714 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
D
49/100
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

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"
  • note frontmatter-key unknown frontmatter key "api_base"

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (social-radar-mvp) differs from the folder (perfectmatch)
  • 100Tools and files. No external tools needed
  • 100Steps. 116 steps
  • 100Execution cost. Instruction body is 1714 tokens
  • 100Running it twice. No mutating operations
  • low 24 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 182: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 116 items
  • +4Has examples (13 code blocks)

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

External checks

ClawHub: suspicious
The skill is mostly a disclosed social-matching workflow, but it includes operator-key troubleshooting access that is broader than a normal user-facing matching skill needs.
LLM: suspicious (high) · VirusTotal: · 29 May 2026