AD commit-history-exporter
检索并导出 SVN 和 Git 仓库中指定人员的提交记录及修改点信息。支持按作者、时间范围、项目路径过滤，可导出为 Markdown、CSV、JSON、Detailed 等格式。Detailed 格式包含完整提交日志。当用户说"导出某人的提交记录"、"查看提交历史"、"生成提交日志"、"导出代码提交记录"、"查看 SVN 提交"、"导出 Git 历史"、"查看提交备注"等类似请求时触发此 Skill。
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedureSoftware developmentData and analyticsInfrastructuretype 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: 7. 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 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. 4 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 48 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1143 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
- -4Absolute local paths (C:\Users, /home/…): not portable
- +1No license
- +2Single-language instructions
- +5Description quotes 7 example trigger phrases
- +3Description length 202: enough signal without eating the budget
- +4Structure: 31 headings
- +3Step-by-step instructions: 48 items
- +4Has examples (10 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.
External checks
ClawHub: suspicious
This skill does what it claims, but its export scripts unsafely run user-supplied inputs through shell eval and its examples encourage command-line SVN passwords.
LLM: suspicious (high) · VirusTotal: · 29 May 2026