BD auto-coding-v3
智能自主编码系统 v3.7.17-compliance — 全子代理架构 + 分阶段技能注入。支持 8 步循环、Reviewer 否决权、复杂度自动分级、Risk Scorecard 量化检测。触发词: auto-coding, Auto coding, 启动自动编码
As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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: 46. 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 48/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (auto-coding-v3) differs from the folder (auto-coding-skill)
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 36 steps
- 100Execution cost. Instruction body is 1901 tokens
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
- low 12 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
- -222 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 134: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 36 items
- +4Has examples (3 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.
External checks
ClawHub: suspicious
The skill appears to be a real autonomous coding workflow, but its metadata and approval controls are broad or inconsistent enough that users should review it before installing.
LLM: suspicious (medium) · VirusTotal: · 9 Jun 2026