BD multi-team-coding
完整的 AI 驱动编程工作流。包含：(1) 多团队并行开发（OpenClaw + Claude Code/Codex/OpenCode），(2) 一人公司模式（单日 90+ 提交），(3) Playwright 自动化测试（E2E/API/视觉/性能），(4) 自动 PR 管理和合并。适用于独立开发者、初创团队、开源项目维护。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
IntegrationPlaywrightGitHubSoftware developmenttype 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: 8. 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 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
- 30Running it twice. 2 mutating operations with no state check
- 70Execution cost. Instruction body is 4988 tokens
- 100Tools and files. No external tools needed
- 100Steps. 71 steps
- 100Consistency. Name and required fields are in place
- low 36 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 164: enough signal without eating the budget
- +4Structure: 74 headings
- +3Step-by-step instructions: 71 items
- +4Has examples (44 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: suspicious
This skill is a disclosed autonomous coding workflow, but it gives agents broad repository and GitHub authority with too little review control.
LLM: suspicious (high) · VirusTotal: · 29 May 2026