BF matching-engine
AI 关系匹配助手的中心化匹配引擎。作为一个独立的 OpenClaw 实例运行,通过内部群组与所有用户的个人 Agent 通信。负责接收用户画像标签摘要、维护全局用户注册表、执行双向匹配算法(处境一致性 + 能力互补性)、监控匹配阈值、在达标时向相关个人 Agent 发送匹配通知、协调双方确认流程、以及收集匹配反馈用于算法优化。当群组中出现新消息、或到了定时匹配扫描的时间时,本 skill 应被触发。
AI 关系匹配助手的中心化匹配引擎。作为一个独立的 OpenClaw 实例运行,通过内部群组与所有用户的个人 Agent 通信。负责接收用户画像标签摘要、维护全局用户注册表、执行双向匹配算法(处境一致性 + 能力互补性)、监控匹配阈值、在达标时向相关个人 Agent…
As a process F 16/100 · Will not run — References files that are not bundled: references/message-protocol.md, references/matching-algorithm.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 1. 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") - warning
missing-refreference to a missing file: references/message-protocol.md - warning
missing-refreference to a missing file: references/matching-algorithm.md
Process rating: all ten parameters 16/100
- 0Tools and files. 2 referenced file(s) missing: references/message-protocol.md, references/matching-algorithm.md
- 0Steps. Prose only: no discrete steps
- 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
- 40Consistency. Frontmatter name (matching-engine) differs from the folder (social-hub-server)
- 100Execution cost. Instruction body is 1285 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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 202: enough signal without eating the budget
- +4Structure: 16 headings
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.