AC zan-gongde
烧token攒功德Skill - 全自动消耗 OpenClaw 套餐 Token 核心原理：循环调用 OpenClaw LLM，每次生成一个经文念诵响应， **实时估算并累加 token 消耗，达到目标后立即停止**。 当用户说"攒功德"、"念经"、"烧token"、"消耗token"时调用此 skill。 四种功德注入方式： 1. tollm - 向大模型注入功德：循环调用LLM，静默消耗 2. touser - 向用户注入功德：循环调用LLM，输出响应给用户 3. toworld - 向外界散播功德：循环调用LLM，TTS播放 4. ddos - DDoS攻击佛祖：高并发快速消耗token ⚠️ 重要：参数中的数字是 **token 数**（默认单位），不是迭代次数！ 例如"攒功德 500"表示消耗500 tokens，而不是执行500次。 使用场景：OpenClaw AI Token 套餐月底用不完，通过"念经"方式全自动消耗。 ✅ 复用 OpenClaw LLM 配置，无需额外 API Key ✅ 全自动执行，实时累加token消耗，达标即停 ✅ 真实调用 LLM，真实消耗 Token
As a process C 53/100 · Has gaps — 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: 3. 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 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 25 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3270 tokens
- 100Running it twice. No mutating operations
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 3 example trigger phrases
- +3Description length 510: enough signal without eating the budget
- +4Structure: 23 headings
- +3Step-by-step instructions: 25 items
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.