SKILLEMALL.ai

BC upwork-bid-decision-assistant

分析 Upwork 工作是否值得投标、是否应使用 Boost、是否应接受邀请,以及客户与项目是否存在风险。适用于用户提供 Upwork 工作链接、页面截图、职位描述、客户历史、付款与评分、hire rate、total spent、proposal/interview/invite 数量、发布时间和 last viewed 等信息时。先提取证据,再综合判断;信息不足但足以判断时直接给结论,关键数据缺失时只追问会改变结论的字段。不要用于承诺接单结果、规避平台规则、操纵计时或基于国籍作歧视性判断。

ClawHub Agent Skills author: Shen Xu v0.1.0 MIT-0 21 files body ≈ 975 tokens Open the sourceclawhub.ai analyzed 2 d ago

分析 Upwork 工作是否值得投标、是否应使用 Boost、是否应接受邀请,以及客户与项目是否存在风险。适用于用户提供 Upwork 工作链接、页面截图、职位描述、客户历史、付款与评分、hire rate、total spent、proposal/interview/invite 数量、发布时间和 last…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureProcurementtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
C
53/100
Has gaps
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: 21. 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")

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 107 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 975 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
  • +4No input/output examples
  • +2Single-language instructions
  • +3Description length 249: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 107 items
  • +4Reference files are cited in the instructions (7 of 9)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This skill is a transparent Upwork bid-evaluation assistant that uses relevant job and profile information without installing code, taking account actions, or asking for credentials.
LLM: benign (high) · VirusTotal: · 1 Aug 2026