SKILLEMALL.ai

BD agentsmd-creator

为项目仓库生成 AGENTS.md — AI 面向的项目 README。告诉 AI Coding Agent:项目是什么、怎么构建和测试、代码规范、编程原则等。 触发场景:用户需要创建 AGENTS.md、生成项目 AI 指南、为仓库写 AI 上下文文件、或提到「给 AI 看的 README」、agentsmd-creator、AI 代码指南。 输出:200 行以内的 AGENTS.md,采用 6 章结构(项目概述 → 快速开始 → 系统架构 → 代码规范与编程原则 → 本地开发及验证 → 文档导航)。

ClawHub Agent Skills author: Aaron Zhang v1.0.0 MIT-0 6 files body ≈ 1 102 tokens Open the sourceclawhub.ai analyzed 33 h ago

为项目仓库生成 AGENTS.md — AI 面向的项目 README。告诉 AI Coding Agent:项目是什么、怎么构建和测试、代码规范、编程原则等。 触发场景:用户需要创建 AGENTS.md、生成项目 AI 指南、为仓库写 AI 上下文文件、或提到「给 AI 看的…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureGitHubAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
D
43/100
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: 6. 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 43/100

  • 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. 3 mutating operations with no state check
  • 60Tools and files. Uses tools (git, python) that frontmatter does not declare
  • 100Steps. 44 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1102 tokens

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
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 254: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 44 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
The skill mostly does what it claims, but it can force-replace CLAUDE.md with a symlink, which may overwrite existing agent instructions in a repository.
LLM: suspicious (high) · VirusTotal: · 20 Jun 2026