AC git-monitor
通用 Git 项目监控工具。支持 GitHub、GitLab、Gitee 等所有 Git 平台。可以添加、删除、检查任意 Git 仓库的更新，自动拉取代码并生成变更摘要。当用户询问"监控项目"、"检查更新"、"添加仓库"、"代码有什么变化"、"拉取最新代码"、"仓库更新通知"、"自动同步代码"、"追踪项目变更"时使用此技能。即使用户没有明确说"监控"，只要涉及跟踪代码仓库的变化、获取更新通知、或需要定期检查项目状态，都应该使用此技能。
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
ReferenceGitHubGitLabSoftware 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: 9. 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") - note
frontmatter-keyunknown frontmatter key "trigger"
Process rating: all ten parameters 51/100
- 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. 1 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 7 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 394 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
- +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
- +5Description quotes 5 example trigger phrases
- +3Description length 219: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 7 items
- +4Has examples (9 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: suspicious
This Git monitoring skill mostly matches its stated purpose, but it needs Review because it can run broad Git operations, reset local repositories, reuse Feishu credentials, and send repository update summaries externally.
LLM: suspicious (high) · VirusTotal: · 29 May 2026