AD chameleon-ultra-cli
控制变色龙(Chameleon)Ultra 读写卡器，通过其 chameleon_cli_main 命令行程序操作设备。当用户想用命令行操作 Chameleon Ultra 设备时使用本技能：连接设备、扫描/读取高频(HF/NFC)或低频(LF)卡片、运行 MIFARE Classic 攻击(nested/darkside/hardnested)、管理模拟卡槽、载入/保存 dump、修改设备设置，或自动化任意 chameleon_cli_main 命令。本技能以非交互方式驱动交互式 REPL，并在首次配置后持久保存可执行文件路径。
控制变色龙(Chameleon)Ultra 读写卡器，通过其 chameleonclimain 命令行程序操作设备。当用户想用命令行操作 Chameleon Ultra 设备时使用本技能：连接设备、扫描/读取高频(HF/NFC)或低频(LF)卡片、运行 MIFARE Classic…
As a process D 43/100 · 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.
- 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: 5. 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 "agent_created"
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
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (chameleon-ultra-cli) differs from the folder (chameleon-ultra-cli-skill)
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 28 steps
- 100Execution cost. Instruction body is 1065 tokens
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
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
- +2Single-language instructions
- +3Description length 268: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 28 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.