BC bangai-recruit
Bang.AI AI招聘平台操作。用于：(1) 查看招聘Agent列表和状态 (2) 查看候选人列表和详情 (3) 筛选候选人 (4) 通过/拒绝候选人 (5) 创建新的招聘Agent。触发词：Bang.AI、AI招聘、AI面试、候选人管理、招聘Agent。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
ReferencePeople and hiringInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- 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-whendescription 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. 22 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 183 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
- +1No license
- +2Single-language instructions
- +3Description length 129: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 22 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.
External checks
ClawHub: suspicious
This instruction-only recruiting helper is coherent, but it needs Review because it can access sensitive applicant data, approve or reject candidates, and create automated recruiting agents without clear confirmation or data-handling limits.
LLM: suspicious (high) · VirusTotal: benign · 28 May 2026